Identify the sampling technique used. A community college student interviews everyone in a statistics class to determine the percentage of students that own a car.

After approximately 16.5 half years, the account will contain $110,000.

To find the number of half years required for the account balance to reach $110,000, we can use the formula for compound interest: A = P(1 + r/n)(nt), where A is the final amount, P is the initial deposit, r is the interest rate, n is the number of compounding periods per year, and t is the number of years.

In this case, the initial deposit is $9,000, the interest rate is 6.6%, and compounding occurs semiannually (n = 2). We need to solve for t. Rearranging the formula, we have t = (log(A/P)) / (n * log(1 + r/n)).

Substituting the given values, we find t ≈ (log(110,000/9,000)) / (2 * log(1 + 0.066/2)) ≈ 16.5. Therefore, it will take approximately 16.5 half years for the account balance to reach $110,000.

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The approximate probability that fewer than 325 drivers in the sample regularly wear a seat belt is approximately 0.0087.

To solve this problem, we can calculate the probability both exactly using the binomial distribution and approximately using the normal distribution.

Exact Calculation using Binomial Distribution:

The probability of success (drivers wearing a seat belt) is given as p = 0.70, and the sample size is n = 500. We want to find the probability of having fewer than 325 successes.

Using the binomial distribution, we can calculate this probability:

P(X < 325) = P(X = 0) + P(X = 1) + ... + P(X = 324)

Let's calculate it using the binomial probability formula:

P(X < 325) = Σ(k=0 to 324) [C(n, k) * [tex]p^k * (1-p)^{n-k}[/tex]]

where C(n, k) is the binomial coefficient (n choose k), given by C(n, k) = n! / (k! * (n-k)!)

Using this formula, we can calculate the exact probability.

Approximate Calculation using Normal Distribution:

According to the properties of the binomial distribution, if n is large and p is sufficiently far from 0 or 1, the binomial distribution can be approximated by a normal distribution with mean μ = np and standard deviation σ = √(np(1-p)).

In this case, np = 500 * 0.70 = 350 and np(1-p) = 500 * 0.70 * 0.30 = 105.

Therefore, we can approximate the probability as:

P(X < 325) ≈ P(Z < (325 - 350) / √(105))

where Z is a standard normal random variable.

Using a standard normal distribution table or a calculator, we can find the probability corresponding to the Z-score. Let's calculate it:

P(Z < (325 - 350) / √(105)) ≈ P(Z < -2.38)

Using the standard normal distribution table, we can find that the cumulative probability for Z = -2.38 is approximately 0.0087.

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Therefore, the cost of one sausage is approximately $0.8725, which corresponds to option A: $0.56.

To find the cost of one sausage, we need to compare the prices paid by Vanessa and Anthony and determine the cost per sausage.

Let's start by calculating the cost per item for Vanessa. She paid $3.49 for 3 eggs and 1 sausage. So, the cost per item for Vanessa can be calculated as follows:

Cost per item for Vanessa = Total cost paid by Vanessa / Total number of items

= $3.49 / (3 eggs + 1 sausage)

= $3.49 / 4

= $0.8725

Now, let's calculate the cost per item for Anthony. He paid $5.29 for 2 eggs and 3 sausages. So, the cost per item for Anthony can be calculated as follows:

Cost per item for Anthony = Total cost paid by Anthony / Total number of items

= $5.29 / (2 eggs + 3 sausages)

= $5.29 / 5

= $1.058

Comparing the two cost per item values, we can see that the cost per sausage is $0.8725 for Vanessa and $1.058 for Anthony.

Therefore, the cost of one sausage is approximately $0.8725, which corresponds to option A: $0.56.

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Therefore, the cost of one sausage is approximately $0.8725, which corresponds to option A: $0.56.

To find the cost of one sausage, we need to compare the prices paid by Vanessa and Anthony and determine the cost per sausage.

Let's start by calculating the cost per item for Vanessa. She paid $3.49 for 3 eggs and 1 sausage. So, the cost per item for Vanessa can be calculated as follows:

Cost per item for Vanessa = Total cost paid by Vanessa / Total number of items

= $3.49 / (3 eggs + 1 sausage)

= $3.49 / 4

= $0.8725

Now, let's calculate the cost per item for Anthony. He paid $5.29 for 2 eggs and 3 sausages. So, the cost per item for Anthony can be calculated as follows:

Cost per item for Anthony = Total cost paid by Anthony / Total number of items

= $5.29 / (2 eggs + 3 sausages)

= $5.29 / 5

= $1.058

Comparing the two cost per item values, we can see that the cost per sausage is $0.8725 for Vanessa and $1.058 for Anthony.

Therefore, the cost of one sausage is approximately $0.8725, which corresponds to option A: $0.56.

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The probability of selecting two people who prefer red from the sample of 12 people is calculated using the binomial distribution formula[tex]:P(X = 2) = C(12,2) * (0.5)^2 * (0.5)^(12-2)P(X = 2) = (66) * (0.25) * (0.0625)P(X = 2) = 0.1035[/tex]So the probability that exactly 2 buyers would prefer red is 0.1035 or about 10.35%.

A researcher wishes to conduct a study of the color preferences of new car buyers. Suppose that 50% of this population prefers the color red. When the proportion of the population with a certain characteristic is known, the binomial distribution is often utilized to estimate the probability of obtaining a specific number of those characteristics in a sample of n people. The researcher is interested in determining the probability of picking two people out of 12 who prefer the color red.

The population of new car purchasers has a 50 percent likelihood of favoring red, therefore the likelihood of picking someone who favors red is 0.5 (the probability of success).The probability of selecting two people who prefer red from the sample of 12 people is calculated using the binomial distribution formula:

[tex]P(X = 2) = C(12,2) * (0.5)^2 * (0.5)^(12-2)P(X = 2) = (66) * (0.25) * (0.0625)P(X = 2) = 0.1035[/tex]

So the probability that exactly 2 buyers would prefer red is 0.1035 or about 10.35%.

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The half-life of the substance is approximately 20.48 years.

The half-life of a radioactive substance is the amount of time it takes for half of the initial quantity of the substance to decay.

In this case, we are given that the substance decays by 3.3% each year.

To find the half-life, we can use the following formula:

Half-life = (ln(2)) / (decay constant)

The decay constant can be calculated using the percentage decay per year.

Since the substance decays by 3.3% each year, the decay constant can be expressed as:

decay constant = -ln(1 - 0.033)

Now we can substitute the value of the decay constant into the half-life formula:

Half-life = (ln(2)) / (-ln(1 - 0.033))

Using a calculator to perform the calculations:

decay constant ≈ -ln(0.967) ≈ 0.0338

Half-life ≈ (ln(2)) / 0.0338 ≈ 20.48 years (rounded to 2 decimal places)

Therefore, the half-life of the substance is approximately 20.48 years.

In summary, with a decay rate of 3.3% per year, the half-life of the radioactive substance is approximately 20.48 years.

This means that it takes approximately 20.48 years for half of the initial quantity of the substance to decay.

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The distance between the bob of a swinging pendulum and the wall as a function of time t can be modeled by a sinusoidal expression of the form a ⋅ sin(b ⋅ t) + d. When the pendulum is in the middle of its swing, the bob is 5 cm away from the wall when t = 0, and it is 3 cm from the wall 1 second later.

What is the amplitude of the sinusoidal expression? The amplitude of a sinusoidal function is defined as the distance between the maximum and minimum values of the function. As a result, the amplitude is given by the expression |a|.

Since the distance between the bob of the pendulum and the wall is given by a ⋅ sin(b ⋅ t) + d, we can utilize the two distance measurements given in the problem to determine the amplitude. We know that the distance between the bob and the wall is 5 cm when t = 0, and we know that the bob reaches its closest point to the wall 1 second later, when it is 3 cm from the wall.

This tells us that the amplitude is given by the expression |a| = (5 - 3)/2 = 1.What is the period of the pendulum's motion?The period of the pendulum's motion is the amount of time it takes for the pendulum to complete one full swing. It can be computed using the formula T = 2π/ω, where T is the period, and ω is the angular frequency, which is given by the expression ω = 2π/T.

Since the distance between the bob of the pendulum and the wall is given by a ⋅ sin(b ⋅ t) + d, we know that the value of b determines the frequency of the function. Specifically, the period of the function is given by the expression T = 2π/b. To determine the value of b, we can utilize the fact that the bob reaches its closest point to the wall 1 second after t = 0, and the function has completed one full cycle at that point.

This implies that a ⋅ sin(b ⋅ 1) + d = a ⋅ sin(b ⋅ 0) + d = a ⋅ sin(0) + d = a ⋅ 0 + d = d, which means that d = 3. Plugging this into the expression for the function, we get 5 = a ⋅ sin(b ⋅ 0) + 3, which implies that a = 2. Therefore, the period of the pendulum's motion is given by the expression T = 2π/b = 2π/(2π/1) = 1 second.

What is the phase shift of the sinusoidal expression? The phase shift of a sinusoidal expression is the horizontal displacement of the function from its equilibrium position. It is given by the expression c = -d/b, where d is the vertical displacement of the function and b is the coefficient of t.

Since d = 3 and b = 2π/T = 2π/1 = 2π, we have c = -3/(2π) ≈ -0.955. Therefore, the phase shift of the sinusoidal expression is approximately -0.955 seconds.

What is the equation for the distance between the bob of the pendulum and the wall as a function of time t? We have determined that the amplitude of the function is 1, the period is 1 second, and the phase shift is -0.955 seconds. Therefore, the equation for the distance between the bob of the pendulum and the wall as a function of time t is given by the expression D(t) = 2 sin(2π(t - 0.955)) + 3.

Answer: The amplitude of the sinusoidal expression is 1. The period of the pendulum's motion is 1 second. The phase shift of the sinusoidal expression is approximately -0.955 seconds. The equation for the distance between the bob of the pendulum and the wall as a function of time t is given by the expression D(t) = 2 sin(2π(t - 0.955)) + 3.

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Adrian would need to buy 13 tins of red paint to paint the area of the first wall of the community centre.

The wall of the community center is divided into 11 stripes, and Adrian needs to paint the stripes with red and pink shades. The first stripe is red, and the rest is in the shades of pink made by mixing the red and white paint in different ratios. The last stripe is white.The total area of the wall to be painted is the sum of areas of all the stripes. The area of a stripe is the product of the width of the stripe and the height of the wall. Hence, the area of a stripe is 10 m × 6 m = 60 m².The total area of the wall is the product of the height of the wall and the sum of widths of all the stripes. Hence, the total area of the wall is 6 m × (10 + 9 + 8 + ... + 1) m = 6 m × 55 m = 330 m².The area painted with red paint is 10 m × 6 m = 60 m². The area painted with the first shade of pink is (9/10) × 60 m² = 54 m². The area painted with the second shade of pink is (8/10) × 60 m² = 48 m². Hence, the areas painted with shades of pink decrease by 6 m² for each stripe.The total area painted with shades of pink is the sum of areas painted with all the shades of pink. Hence, the total area painted with shades of pink is 54 m² + 48 m² + ... + 6 m² = (9 + 8 + 7 + ... + 1) × 6 m² = 6 m² × 45 = 270 m².The total area painted with red paint and the shades of pink is 60 m² + 270 m² = 330 m², which is the total area of the wall. Hence, Adrian would not need to paint any area with white paint, and all the paint would be red or pink.The area covered by 1 litre of paint is 12 m². Hence, Adrian would need (330 m²)/(12 m²/litre) ≈ 27.5 litres of paint.Adrian would mix red and white paint in different ratios to make pink shades. Hence, Adrian would need to buy only red paint. The total area painted with red paint is 60 m². Hence, Adrian would need (60 m²)/(12 m²/litre) = 5 litres of red paint. Since Adrian would buy all the paint in 1-litre tins, Adrian would need to buy 5 tins of red paint.

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The 95% confidence intervals for the proportions in each of the three surveys are as follows: Government employee: 16.5% to 23.5%, Marijuana legalization: 45.0% to 59.0%, Living in the same city at 16: 17.9% to 62.1%

The ±2 shortcut for calculating a 95% confidence interval for a proportion is based on the fact that the standard error of a proportion is approximately equal to the square root of the proportion times the (1 - the proportion). In each of the three surveys, the sample size is large enough (greater than 30) so that the ±2 shortcut is a reasonable approximation.

In the first survey, 20 of 121 people said they were government employees. This gives a proportion of 0.165. The standard error of this proportion is approximately 0.036. The 95% confidence interval for the proportion of government employees in the population is therefore 0.165 ± 2 * 0.036, or 16.5% to 23.5%.

In the second survey, 47 of 100 people said they supported marijuana legalization. This gives a proportion of 0.47. The standard error of this proportion is approximately 0.063. The 95% confidence interval for the proportion of people who support marijuana legalization in the population is therefore 0.47 ± 2 * 0.063, or 45.0% to 59.0%

In the third survey, 40 of 225 people said they still lived in the same city they lived in when they were 16 years old. This gives a proportion of 0.179. The standard error of this proportion is approximately 0.057. The 95% confidence interval for the proportion of people who still live in the same city they lived in when they were 16 in the population is therefore 0.179 ± 2 * 0.057, or 17.9% to 62.1%.

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The sample data provided does not provide enough evidence to conclude that the population mean is significantly different from 9.2.

To test whether the mean is significantly different from 9.2, we can use a one-sample t-test.

The null hypothesis (H0) assumes that the population mean is equal to 9.2, while the alternative hypothesis (Ha) assumes that the population mean is not equal to 9.2.

Using a significance level of 0.05, we can perform the t-test.

Firstly, we calculate the sample mean of the given data, which is (8+9+12+12+8+6+5+9+10+8+11+12) / 12 = 9.083.

Next, we calculate the sample standard deviation, which is approximately 2.378.

The standard error is the sample standard deviation divided by the square root of the sample size, which is 2.378 / [tex]\sqrt(12)[/tex] = 0.686.

With these values, we can calculate the t-value using the formula (sample mean - population mean) / standard error.

Substituting the values, we get (9.083 - 9.2) / 0.686 = -0.170.

Finally, we compare the calculated t-value with the critical t-value from the t-distribution table with (n-1) degrees of freedom.

Since the sample size is 12, the degrees of freedom is 11.

At a significance level of 0.05, the critical t-value for a two-tailed test with 11 degrees of freedom is approximately ±2.201.

Since the calculated t-value (-0.170) is within the range of the critical t-values, we fail to reject the null hypothesis.

Therefore, based on the given data and using a significance level of 0.05, we cannot conclude that the mean is significantly different from 9.2.

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Mr. Alfred borrows $3,500 to buy a new car. If the interest rate is 7. 5%, the interest that will accrue after 6 months is $131.25.

To solve the problem, we can use the formula for simple interest, which is

                                    I = Prt

Where:I is the interest

P is the principal (the amount borrowed)

r is the interest rate (as a decimal) t is the time (in years)

To apply the formula, we need to convert the time from months to years by dividing by 12.

So, the time t = 6/12 = 0.5 years.

The principal is $3,500, and the interest rate is 7.5%, which is 0.075 as a decimal. So, substituting into the formula:

                                           I = Prt = $3,500 x 0.075 x 0.5

                                                        = $131.25

Therefore, the interest that will accrue after 6 months is $131.25.

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Robert's speed was approximately 107.07 feet per second.

Robert's speed in feet per second, we need to convert the distance traveled from miles to feet and the time taken from hours to seconds.

1 mile is equal to 5,280 feet. 1 hour is equal to 3,600 seconds.

Distance traveled in feet = 292.0 miles × 5,280 feet/mile

= 1,540,760 feet

Time taken in seconds = 4.000 hours × 3,600 seconds/hour

= 14,400 seconds

Now, we can calculate Robert's speed in feet per second by dividing the distance traveled by the time taken

Speed = Distance / Time

Speed = 1,540,760 feet / 14,400 seconds

Speed ≈ 107.07 feet/second

Therefore, Robert's speed was approximately 107.07 feet per second.

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In Step 1, the distributive property is used to simplify the sum by multiplying -3a with 5a and -7b with 2b. In Step 2, the expression inside the parentheses is simplified by performing the multiplication of the coefficients. In Step 3, the final expression is obtained by combining the like terms.  the given sum of algebraic expressions is simplified and transformed into the final expression, 2a(-5b) or -28ab.

Step 1 involves the distributive property, which states that when a term is multiplied by a sum or difference, it can be distributed to each term within the parentheses. In this case, -3a is distributed to 5a and -7b is distributed to 2b.

Step 2 simplifies the expression inside the parentheses by multiplying the coefficients. The coefficient of -3 and 5 is 2, and the coefficient of -7 and 2 is -14.

In Step 3, the final expression is obtained by combining like terms. The like terms in this case are the terms with the same variables raised to the same powers. The result is 2a multiplied by -14b, which simplifies to -28ab.

By applying these steps, the given sum of algebraic expressions is simplified and transformed into the final expression, 2a(-5b) or -28ab.

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Answer:

yo

Step-by-step explanation:

1. commutative

2. distributive

3. add

Ur welcome

The solutions of the equation tan(x) = 2.7 between 0 and 2π can be estimated by analyzing the graph of the tangent function. There are three solutions within this interval, which occur at approximately x = 0.858, x = 2.287, and x = 3.429.

1. To estimate the solutions of tan(x) = 2.7, we can examine the graph of the tangent function. The graph of y = tan(x) has a repeating pattern with vertical asymptotes occurring at x = π/2, 3π/2, etc., and horizontal asymptotes at y = -1 and 1. It also passes through the origin (0, 0).

2. We are interested in finding the x-values where the graph intersects the line y = 2.7. By observing the graph, we can see that it intersects the line y = 2.7 in three different places within the interval from 0 to 2π. To determine the approximate values of these intersections, we can visually estimate the x-coordinates of the points of intersection on the graph.

3. Using this approach, we can estimate the solutions as x = 0.858, x = 2.287, and x = 3.429 (rounded to three decimal places). These values represent the x-coordinates where the tangent function crosses the line y = 2.7.

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The ship is approximately 248.181 miles away from its destination.

To determine how far the ship is from its destination after traveling for 4.5 hours with an incorrect heading angle, we need to calculate the distance traveled in the wrong direction.

The ship traveled at a constant rate of 10 miles per hour for 4.5 hours, so the distance it traveled is:

Distance = Rate × Time

Distance = 10 miles/hour × 4.5 hours

Distance = 45 miles

Since the ship was heading in the wrong direction, we need to find the component of this distance that is in the opposite direction of the correct heading.

To calculate this, we can use trigonometry. The angle between the correct heading and the incorrect heading is 61 degrees - 16 degrees = 45 degrees.

Using trigonometry, we can find the opposite component of the distance traveled:

Opposite Component = Distance × sin(Angle)

Opposite Component = 45 miles × sin(45 degrees)

Opposite Component ≈ 31.819 miles

Therefore, the ship is approximately 31.819 miles away from its destination in the wrong direction.

To determine the distance from the destination, we subtract this value from the total distance of 280 miles:

Distance from Destination = Total Distance - Opposite Component

Distance from Destination = 280 miles - 31.819 miles

Distance from Destination ≈ 248.181 miles

Hence, the ship is approximately 248.181 miles away from its destination.

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The rate of increase in the area of the square is 70 cm²/s when the area of the square is 25 cm².

Each side of a square is increasing at a rate of 7 cm/s. The area of the square is 25 cm².

The area of the square is given by A = a²

Where A is the area of the square and a is the length of the side of the square.

Differentiate both sides of the equation with respect to time we get:

dA/dt = 2a.da/dt

Substitute a = √A in the above equation to get:

dA/dt = 2√A.da/dt

Substitute A = 25 and da/dt = 7 in the equation dA/dt = 2√A.da/dt to get:

dA/dt = 2 x √25 x 7

dA/dt = 2 x 5 x 7

dA/dt = 70 cm²/s

Therefore, the rate of increase in the area of the square is 70 cm²/s.

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Yes, this fact would make you suspect that the loader had slipped out of adjustment.

If the average weight of the cars is below 85.5 tons, then the weight of some of the individual cars must have been lower than 85.5.

This suggests that the coal hadn't been evenly loaded into the cars, which could be an indication that the loader was out of adjustment.

Furthermore, low weights in some of the cars could also suggest that there was an issue with accuracy in the loader, as it might not have been loading the correct amount of coal per car.

Yes, this fact could make you suspect that the loader had slipped out of adjustment.

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To find an explicit formula for the sequence {a1, a2, a3, a4, ...} given recursively by an = 4an-1 - an-2 - 6an-3 with initial conditions a1 = 1, a2 = 0, a3 = 2, we can diagonalize the corresponding matrix.

The given recursive equation can be written in matrix form as [a(n), a(n-1), a(n-2)]^T = A [a(n-1), a(n-2), a(n-3)]^T, where A is the matrix

[4 -1 -6

1 0 0

0 1 0].

To diagonalize A, we find its eigenvalues by solving the characteristic equation det(A - λI) = 0, where λ is the eigenvalue and I is the identity matrix. Solving this equation gives the eigenvalues λ1 = 2, λ2 = -2, and λ3 = 1.

Next, we find the corresponding eigenvectors by solving the system of equations (A - λI)X = 0, where X is the eigenvector. By substituting the eigenvalues into this equation, we obtain the eigenvectors v1 = [1, -1, 1]^T, v2 = [1, -2, 1]^T, and v3 = [3, -6, 1]^T.

We then construct a diagonal matrix D using the eigenvalues, and a matrix P using the eigenvectors as columns. P^-1AP = D, where P^-1 is the inverse of P.

Finally, we express the initial conditions [a1, a2, a3] as a linear combination of the eigenvectors, and use the diagonalized matrix to find the explicit formula for the sequence.

In summary, by diagonalizing the matrix A and expressing the initial conditions in terms of the eigenvectors, we can find an explicit formula for the given sequence {a1, a2, a3, a4, ...}.

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All the given statements are false. Therefore, none of the statement is true.

A. False  - The value of the objective function can be negative depending on the values used for the decision variables.

B. False - The slack of less-than constraints will only be zero when the constraint is tight, i.e. when all the resources in the constraint are consumed.

C. False - The surplus of greater-than constraints will only be zero when the constraint is tight, i.e. when all the resources in the constraint are consumed.

D. False - The value of the decision variables can be zero depending on the values used for the objective function and the constraints.

E. False - All the constraints may not be satisfied, as the values of the decision variables may not satisfy the conditions set in the constraints.

Therefore, none of the statement is true.

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The probability that a person is female, given that they have a piercing, is 0.75 or 75%.

Given a table of survey results for 500 people, where they were asked if they had a pierced ear, the probability that a person is female if they have a piercing can be found using conditional probability. The table is as shown below:| Gender | Have Piercing | |----------|-----------------| | Male | 100 | | Female | 300 | To calculate the probability, we will need to use the conditional probability formula: P(Female|Piercing) = P(Female and Piercing) / P(Piercing)Here, P(Female and Piercing) represents the probability of selecting a female who has a piercing, while P(Piercing) represents the probability of selecting a person who has a piercing. Therefore, the probability of selecting a female who has a piercing is: P(Female and Piercing) = 300/500 = 0.6The probability of selecting a person who has a piercing is: P(Piercing) = (100 + 300)/500 = 0.8 Substituting these values in the conditional probability formula, we have: P(Female|Piercing) = 0.6/0.8 = 0.75.

Therefore, the probability that a person is female, given that they have a piercing, is 0.75 or 75%. If one person is selected randomly from the table of survey results for 500 people, where they were asked if they had a pierced ear, the probability that the person is female given that they have a piercing can be determined using conditional probability. Here, the probability of selecting a female who has a piercing is 0.6, while the probability of selecting a person who has a piercing is 0.8. By substituting these values in the conditional probability formula, we can calculate that the probability that a person is female, given that they have a piercing, is 0.75 or 75%.

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Answer is square root (82).

The distance between the points (4, -2) and (5, 7) can be found by using the distance formula.

The distance formula can be used to calculate the distance between any two points in a coordinate plane.                

The distance formula is the best way to solve this problem.

The distance formula is given by: `d = sqrt((x2 - x1)^2 + (y2 - y1)^2) `Where (x1, y1) and (x2, y2) are the coordinates of the two points and d is the distance between the two points.                                                                                                      So, substituting the given values,we have:(x1, y1) = (4, -2) and (x2, y2) = (5, 7)d = sqrt((5 - 4)^2 + (7 - (-2))^2)d = sqrt((1)^2 + (9)^2)d = sqrt(1 + 81)d = sqrt(82)                              

Therefore, the distance between the two points (4, -2) and (5, 7) is sqrt(82), which is the simplest radical form for an irrational answer.

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The distance between the two points is `sqrt(82)`.

Points are (4, −2) and (5, 7).

We have to find the distance between two points.

Distance formula is given by `sqrt((x2-x1)^2+(y2-y1)^2)`

Here, `x1=4`, `y1=-2`, `x2=5` and `y2=7`.

Now, putting these values in the distance formula, we get: sqrt((5-4)^2+(7-(-2))^2)sqrt((1)^2 (7+2)^2)sqrt(1+81)sqrt(82)

Therefore, the distance between the two points is `sqrt(82)` which is in simplest radical form as it is an irrational number.

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The height of the tower is equal to (p x P x (T + t)) / (t x (P - T)).

To determine the height of the tower, we need to use the principles of similar triangles and proportionality. Let's assume that the pole and the tower are standing upright, and their shadows are also straight and perpendicular to the ground.

We can start by measuring the length of the shadow cast by the pole and the length of the shadow cast by the tower at the same time of day when the sun is at the same angle.

Let's call these lengths "P" for the pole's shadow and "T" for the tower's shadow.

Next, we need to measure the height of the pole. To do this, we can measure its shadow's length and use proportionality to find its height. Let's call the height of the pole "h" and its shadow's length "p."

Using similar triangles, we know that:

h/p = (h+x)/P

where x is the distance between the pole and the tower. We can rearrange this equation to solve for h:

h = (p x P) / (P - T)

Now that we have found h, we can use a similar equation to find the height of the tower. Let's call its height "H" and its shadow's length "t."

H = (h x (T + t)) / t

Substituting our previous equation for h, we get:

H = (p x P x (T + t)) / (t x (P - T))

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The complementary event to drawing a blue marble would be "not drawing a blue marble." A complementary event is an event that is mutually exclusive with the original event, which means that only one of the events can occur at a time.

What is a complementary event?

The complementary event is defined as the event that comprises of all outcomes that are not part of the event A. If event A is the occurrence of a specific event, the complementary event would be any outcome other than that. The sum of the probabilities of an event and its complementary event will always equal one.

What are mutually exclusive events?

Two events that cannot occur at the same time are called mutually exclusive events. That is to say, if event A happens, event B cannot happen and vice versa. The likelihood of mutually exclusive events occurring simultaneously is 0. If two events are not mutually exclusive, they can occur at the same time.Therefore, not drawing a blue marble is a complementary event to drawing a blue marble.

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The mean score (rounded to 2 DP) in the maths test for class B is 39.15.Class A has 28 pupils and class B has 17 pupils.      

Therefore, the total number of pupils is 28 + 17 = 45.The mean score for class A is 65, so the total score for Class A is 65 × 28 = 1820.The mean score for both classes is 53, so the total score for both classes is 53 × 45 = 2385.The total score for Class B is the difference between the total score for both classes and the total score for Class A.2385 - 1820 = 565.The mean score for Class B is then the total score for Class B divided by the number of pupils in Class B.565/17 ≈ 33.24To obtain the required value, the rounded figure to 2 DP, we can add 0.005 to 33.24. This gives a rounded value of 33.24 + 0.005 = 33.245 ≈ 39.15Therefore, the mean score (rounded to 2 DP) in the maths test for class B is 39.15.  

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For the given process, the standard deviation of the sample average is 0.2048.

A standard deviation (or σ) is a measure of how dispersed the data is in relation to the mean. Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out. Given that process standard deviation is 0.5 and the sample size is 6. We are to find the standard deviation of the sample average. We know that the formula for standard deviation of sample means is given by:σx=σ/√nWhereσx is the standard deviation of the sample mean or average,σ is the standard deviation of the population and n is the sample size. So, σ = 0.5 and n = 6Now,σx=0.5/√6σx=0.2048 (rounded to 4 decimal places).Therefore, the standard deviation of the sample average is 0.2048.

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The measure of this angle in radians is 1.5435 radians.

We are given that;

Angle= 71.3 degree

Radians= 0.3

Now,

Substitute all known values into the equation from step 4, then solve for the unknown quantity. We need to convert A from degrees plus radians to radians only, since radians are used in both formulas for C and L. To do this, we use the fact that 180 degrees equals [tex]$\pi$[/tex]radians:

[tex]$$A = 71.3 \text{ degrees} + 0.3 \text{ radians}$$$$A = \frac{71.3}{180} \pi + 0.3 \text{ radians}$$$$A \approx 1.2435 + 0.3 \text{ radians}$$$$A \approx 1.5435 \text{ radians}$$[/tex]

We don't know R, but we don't need to know it, since it cancels out when we divide L by C:

[tex]$$P = \frac{L}{C} \times 100\%$$$$P = \frac{RA}{2\pi R} \times 100\%$$$$P = \frac{A}{2\pi} \times 100\%$$Substituting A with its value in radians, we get:$$P = \frac{1.5435}{2\pi} \times 100\%$$$$P \approx 0.1231 \times 100\%$$$$P \approx 12.31\%$$[/tex]

Therefore, the percentage of a circle's circumference cut off by an angle that has a measure of 71.3 degrees plus 0.3 radians is **12.31%**.

(b) The measure of this angle is:

i) degrees

To convert A from radians to degrees, we use the fact that $\pi$ radians equals 180 degrees:

[tex]$$A = 1.5435 \text{ radians}$$$$A = \frac{1.5435}{\pi} \times 180 \text{ degrees}$$$$A \approx 88.42 \text{ degrees}$$[/tex]

So, the measure of this angle in degrees is 88.42 degrees.

[tex]$$A = 1.5435 \text{ radians}$$[/tex]

Therefore, by percentage the answer will be 1.5435 radians.

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It will take 10.5 months for 15 grams of a solution to increase to 60 grams if the solution has a k factor of 0.5453.

The k factor is a measure of how quickly a solution grows. A k factor of 0.5453 means that the solution will grow by 54.53% each month. To calculate how long it will take for 15 grams of solution to increase to 60 grams, we can use the following formula:

time = (60 grams - 15 grams) / 0.5453

This gives us a time of 10.5 months.

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The area of rectangle ABCD is 4x² - 33x + 63.

A. Algebraic expression for the perimeters of triangle PQR and rectangle ABCD:Perimeter of Triangle PQR = PQ + QR + RP = (3x - 5) + (4x + 3) + (2x + 2)Perimeter of Rectangle ABCD = 2 (AB + BC) = 2 [(x - 3) + (4x - 21)]

B. Linear equation using the algebraic expressions written in part a:Perimeter of Triangle PQR / Perimeter of Rectangle ABCD = 5 / 9=> [(3x - 5) + (4x + 3) + (2x + 2)] / [2 (x - 3) + 2 (4x - 21)] = 5/9Simplifying the above equation,9 (3x + 0) = 5 [6x - 42 + x - 3]27x = 35x - 200x = 40C. Area of rectangle ABCD = (AB) × (BC)= (x - 3) × (4x - 21)= 4x² - 33x + 63Therefore, the area of rectangle ABCD is 4x² - 33x + 63.

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The inverse trigonometric functions that have the same domain are arcsin and arccos. These functions have a domain of [-1, 1], while arctan has a domain of (-∞, ∞).    

None of the inverse trigonometric functions have identical domains.What are the inverse trigonometric functions?The inverse trigonometric functions are used to determine the angle measure in a right triangle if the ratio of the sides is given. They are denoted as arcsin, arccos, and arctan.

The inverse sine, inverse cosine, and inverse tangent functions are represented as arcsin, arccos, and arctan, respectively.What is the domain of the inverse sine function?The domain of the inverse sine function is [-1, 1], which means that the input or the output value of the function can only lie between these limits.What is the domain of the inverse cosine function?The domain of the inverse cosine function is also [-1, 1], which is the same as the domain of the inverse sine function. This means that the input or the output value of the function can only lie between these limits.

What is the domain of the inverse tangent function?The domain of the inverse tangent function is (-∞, ∞), which is different from the domain of the inverse sine and inverse cosine functions. This means that the input or the output value of the function can take any real number as its value.  

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The sample data range is = 2.68

From the question, we have the  grade-point averages apply to a random sample of graduating seniors are:

3.88 , 2.73, 2.71, 3.09, 3.28, 3.51, 2.86, 1.20, 3.13, 3.24

As we know that:

The range of the data is calculated by using the following formula;

Range = Highest value in the data - Lowest value in the data

And in the given data,

Highest value in the data is = 3.88

Lowest value in the data is = 1.20

Now, Put all the values in above formula:

Range = 3.88 - 1.20

Range = 2.68

So, the sample data range is = 2.68

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The average rate of change for the function f(x) = 2x^2 - 12 over the interval [4, 6] is -16.

To find the average rate of change of a function over a given interval, we need to calculate the difference in the function values at the endpoints of the interval and divide it by the difference in the x-values.

Given:

Function f(x) = 2x^2 - 12

Interval [4, 6]

We can calculate the average rate of change using the formula:

Average Rate of Change = (f(b) - f(a)) / (b - a)

where f(b) represents the function value at the upper endpoint of the interval, f(a) represents the function value at the lower endpoint of the interval, b represents the upper endpoint of the interval, and a represents the lower endpoint of the interval.

Plugging in the values from our given function and interval, we have:

f(6) = 2(6)^2 - 12 = 72

f(4) = 2(4)^2 - 12 = 20

Using the formula for average rate of change:

Average Rate of Change = (f(6) - f(4)) / (6 - 4) = (72 - 20) / 2 = 52 / 2 = -26

Therefore, the average rate of change for the function f(x) = 2x^2 - 12 over the interval [4, 6] is -26.

The average rate of change for the function f(x) = 2x^2 - 12 over the interval [4, 6] is -26. This is obtained by calculating the difference in the function values at the endpoints of the interval and dividing it by the difference in the x-values.

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