$15 for 6 pounds and $90 for 36 pounds

Answer: 27

Step-by-step explanation:

This is a cube so all of the lengths have the same lengths.

3x3x3=27

3x3=9

9x3=27

The probability that a cell phone user makes or receives less than 12 calls per day is 0.3971.

To find P(x < 12), we need to standardize the value of 12 using the formula: z = (x - μ) / σ where z = z-score, x = value of interest, μ = mean, and σ = standard deviation.

Substituting the values, we get:

z = (12 - 13.1) / 4.3

z = -0.25581

Using a calculator, we can find the probability that z is less than -0.25581, which is:

P(z < -0.25581) = 0.3971

P(z < -0.25581) = 39.71%.

Full question "Suppose the number of cell phone calls made or received per day by cell phone users follows a normal distribution with a mean of 13.1 and a standard deviation of 4.3. Find P (x <12)".

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x < -1/2 is the solution of the inequality -2x+7>8

The given inequality is  -2x+7>8

We have to find the solution

Subtract seven from both sides

-2x>8-7

-2x>1

Divide both sides by 2

-x>1/2

so x<-1/2 is the solution

Hence, x < -1/2 is the solution of the inequality -2x+7>8

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What is solution of inequality -2x+7>8?

Therefore, the predicted number of infections in week 10 is approximately 276 (rounded to the nearest whole number).

To predict the number of infections in week 10, we first need to find the growth factor.

Using the formula for exponential growth, we have:

[tex]N = N0 * (1+r)^t[/tex]

where:

N0 = initial number of infections (week 0) = 20

r = growth rate = 30% = 0.3

t = number of weeks

To find the growth factor (1+r), we add 1 to the growth rate:

1+r = 1 + 0.3 = 1.3

So the formula becomes:

[tex]N = N0 * (1.3)^t[/tex]

To find the number of infections in week 10, we substitute t = 10 into the formula and solve for N:

[tex]N = 20 * (1.3)^{10}[/tex]

= 20 * 13.784

= 275.68

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a) Based on the least amount that Austin has been charged in a month as $80.25, the possible numbers of minutes he has used his phone in a month are 102 and 103 minutes.

b) Using m for the number of minutes Austin has used his phone in a month, and solving the inequality for m, m ≥ 102.5.

Inequality is a mathematical statement that two or more algebraic expressions are unequal.

Inequalities can be represented by:

The monthly fee that Austin pays for his phone service = $29

The charge per minute of use (variable cost) = $0.5

The least amount charged Austin per month = $80.25

Let the number of minutes = m

29 + 0.5m ≥ 80.25

Solving the inequality:

29 + 0.5m ≥ 80.25

0.5m ≥ 80.25 - 29

0.5m ≥ 51.25

m ≥ 102.5

m = 102, 103

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The slope between the points, (2, -4) and (-1, -12), is calculated as:

m = 8/3.

To find the slope between two points that lie on a line, we would apply the slope formula below:

Slope of a line (m) = change in y / change in x = (y2 - y1) / (x2 - x1) = rise / run.

Given the following points:

(2, -4) = (x1, y1)

(-1, -12) = (x2, y2)

Plug in the values:

Slope of the line (m) = change in y / change in x = (-12 -(-4)) / (-1 - 2)

m = -12 + 4 / -3

m = -8/-3

Slope between the two points (m) = 8/3

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The best probability distribution to use for simulating the outcome of flipping a single coin is the binomial distribution. The binomial distribution is used to model the number of successes in a fixed number of independent trials, where each trial has the same probability of success (in this case, 0.5 for heads or tails).

It is a discrete distribution and is often used in situations where there are only two possible outcomes. The other distributions mentioned (uniform, exponential, normal, and Poisson) are not appropriate for this scenario.

The best probability distribution to use for simulating the outcome of flipping a single coin is the binomial distribution. The binomial distribution is appropriate because it models the number of successes (e.g., heads).

In a fixed number of independent Bernoulli trials (e.g., coin flips) with the same probability of success on each trial. In this case, there are two possible outcomes (heads or tails) and each flip is independent with an equal probability of success (0.5).

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To compute the variance of a geometric distribution with parameter p, we first need to understand the geometric distribution itself.

The geometric distribution represents the number of trials required for the first success in a sequence of Bernoulli trials, where each trial has a success probability of p.

The variance of a geometric distribution with parameter p can be calculated using the formula:

Variance = (1 - p) / p^2

Please note that the Taylor expansion "=1+r+ ir -1" you mentioned does not seem to be relevant to the calculation of the variance of a geometric distribution. The correct formula for the variance is provided above.

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The correct choice is A: (2,2,4) | 10x dx + 18y dy + 8z dz = 21 (0,0,0)

To check whether the differential form is exact, we need to calculate its curl:

curl(F) = (∂Q/∂y - ∂P/∂z)i + (∂R/∂z - ∂Q/∂x)j + (∂P/∂x - ∂R/∂y)k

Here, P = 10x, Q = 18y, and R = 8z. Substituting these values, we get:

curl(F) = (0 - 0)i + (0 - 0)j + (0 - 0)k = 0

Since the curl of F is zero, the differential form is exact. We can find a potential function f such that F = ∇f.

To find f, we integrate the differential form along any path from (0,0,0) to (2,2,4)

f(2,2,4) - f(0,0,0) = ∫CF · dr

where CF is the given differential form and the integral is taken along the path C. We can choose a simple path, such as a straight line from (0,0,0) to (2,2,4):

r(t) = ti + tj + 2tk, 0 ≤ t ≤ 1

Then CF · dr = 10x dx + 18y dy + 8z dz = (10t)i + (18t)j + (16t)k dt

Substituting for x, y, and z in terms of t, we get:

CF · dr = 10ti dt + 18tj dt + 16tk dt = d(5t^2 + 9t^2 + 8t^2/2)

Therefore, f(2,2,4) - f(0,0,0) = (5(1)^2 + 9(1)^2 + 8(1)^2/2) - (5(0)^2 + 9(0)^2 + 8(0)^2/2) = 21

Hence, the value of the integral is:

∫CF · dr = f(2,2,4) - f(0,0,0) = 21

Therefore, the correct choice is A: (2,2,4) | 10x dx + 18y dy + 8z dz = 21 (0,0,0)

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The reason why the confidence interval for the coefficient of rooms in the multiple regression model can be different from the one in part (b) is that in the multiple regression, we are controlling for the effects of other variables (home size, lot size, and bathrooms) on the dependent variable. This can lead to changes in the null hypothesis and their standard errors compared to a simple linear regression model that only considers one independent variable (rooms).

To calculate the 95% confidence interval for the coefficient of rooms in the multiple regression model, we need to use the t-distribution and the standard error of the estimate. The formula is:

Coefficient of rooms ± t_(α/2,n-k-1) x SE

Where t_(α/2,n-k-1) is the critical value of the t-distribution with n-k-1 degrees of freedom and α/2 significance level (α/2 = 0.025 for a 95% confidence interval), n is the sample size, and k is the number of independent variables in the regression model. SE is the standard error of the estimate, which measures the variability of the data around the regression line.

If the confidence interval does not include zero, we can conclude that the coefficient of rooms is statistically significant at the 0.05 level and has a non-zero effect on the dependent variable (price). If the confidence interval includes zero, we cannot reject the null hypothesis that the population regression coefficient of room is zero, meaning that there is no evidence of a significant relationship between rooms and price.

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1. The area of the parallelogram is 54 cm².

2. The length measurement that 7.5 cm did not use to find the area.

1. As per the shown figure, it is given that:

Base (B) = 9 cm

Height (h) = 6 cm

The area of the parallelogram can be calculated as:

= B × h square units

Substitute the given values in the above formula,

The area of the parallelogram = 9 × 6

The area of the parallelogram = 54 cm².

2. Here, we did not use a length measurement of 7.5 cm to find the area of the given parallelogram because it is irrelevant to the formula.

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Answer: 4

Step-by-step explanation:

f = h - 6 and 5f = 8h + 7 are the system of equations to find f and h

We have to form a system of equations

Let F be no of pages in each science fiction comic book

Let h h be the no of pages in each super hero comic

To find f,

5f = 8h + 7

this is because no of pages in all science fiction is 7 times more than total in super hero bopks

Then f = h - 6

this is because  the science fiction has fewer pages than 6 compared to supoer heroes

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True.

If A is a 5 by 5 matrix and has three pivots, then its row reduced echelon form will have three leading 1's, and the other two rows will be zero rows.

If A is a 5 by 5 matrix and has three pivots, then its row reduced echelon form will have three leading 1's, and the other two rows will be zero rows. This means that the three pivot columns of A are linearly independent, and they span a three-dimensional subspace of R^5.

Since the pivot columns of A are the columns of ColA, we can say that ColA is a subspace of R^5 that is spanned by three linearly independent vectors. Since the dimension of this subspace is three, it is a three-dimensional subspace of R^5. Geometrically, a three-dimensional subspace of R^5 is a (two-dimensional) plane, sincsincesincsinceee it is the intersection of two three-dimensional spaces. Therefore, we can conclude that ColA is a (two-dimensional) plane in R^5.

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The only equation that met the condition is x² + (y + 8)² = 36

Analytic Geometry is a branch of mathematics that deals with the study of geometry using algebraic methods. It involves using coordinate systems to describe geometric figures and to express geometric properties in terms of algebraic equations.

In particular, the study of equations of circles is a fundamental topic in analytic geometry. A circle is a set of points in a plane that are equidistant from a fixed point called the center. In the coordinate plane, a circle with center (a, b) and radius r can be described by the equation:

(x - a)² + (y - b)² = r²

where x and y are the coordinates of any point on the circle.

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The minimum score an applicant must achieve in order to receive consideration for admission to the university is 678.

To solve this problem, we need to find the score x such that the area to the right of x under the standard normal curve is 0.1 (since the 90th percentile corresponds to the top 10% of scores).

Using a standard normal table (also known as a Z-table), we can find the z-score that corresponds to the area of 0.1. The closest value we can find in the table is 1.28. This means that 10% of the scores fall above a z-score of 1.28.

Now we can use the formula for converting a z-score to an x-score:

z = (x - mu) / sigma

where mu is the mean and sigma is the standard deviation of the distribution. Substituting the given values, we have:

1.28 = (x - 550) / 100

Solving for x, we get:

x = 100(1.28) + 550 = 678

Therefore, the minimum score an applicant must achieve in order to receive consideration for admission to the university is 678.

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Kyree would score 165 goals if Anthony scored 60 goals, given that for every 4 goals Anthony scores, Kyree scores 11 goals. This means Kyree scores at a faster rate than Anthony.

If Anthony scored 60 goals and for every 4 goals Anthony scored, Kyree scored 11 goals, we can set up a proportion to find out how many goals Kyree scored. We can use the fact that the ratio of goals scored by Anthony and Kyree is the same as the ratio of 4 to 11. We can express this as:

4/11 = 60/x

Solving for x, we can cross-multiply to get:

4x = 11 * 60

Dividing both sides by 4, we get:

x = 165

Therefore, Kyree would have scored 165 goals if Anthony scored 60 goals. This means that Kyree scores at a faster rate than Anthony, since for every 4 goals Anthony scores, Kyree scores 11 goals.

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The circular cookie cake have an area of 200.96 in², and thus 100.48 square inches will make up its half.

The area of a circle is π multiplied by the square of the radius. The area of a circle when the radius 'r' is given is πr².

Area of circle = πr²

π = 3.14

radius = 2 m {half the diameter}

Area of the circular cookie = 3.14 × 8 in × 8 in

Area of the circular cookie = 200.96 in²

square inches to make up half the cookie = 200.96 in²/2

square inches to make up half the cookie = 100.48 in²

Therefore, the circular cookie cake have an area of 200.96 in², and thus 100.48 square inches will make up its half.

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Answer:

Step-by-step explanation:

2 and 1/2

Answer:

2 1/2 or 2.5

Step-by-step explanation:

1. Rewrite:

1 1/2 + x = 4

2. Subtract 1 1/2 from both sides:

4 - 1 1/2 = 2 1/2

x = 2 1/2 or 2.5

The area of the figure is 47.67 [tex]cm^2[/tex] round to the nearest hundredth.

We can find the area of the half circle with a diameter of 11 cm.

The formula for the area of a circle is A = πr^2, where r is the radius.

Since the diameter is 11 cm, the radius is half of that, which is 5.5 cm.

Substituting the value of r, we get:

A = π(5.5)^2

A = 30.25π

The area of figure is half of the area of the full circle, so we divide by 2:

A = 15.125π

Rounding to the nearest hundredth, we get:

A ≈ 47.67 [tex]cm^2[/tex]

Thus, the answer is 47.67 [tex]cm^2[/tex].

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a. No, a 95% confidence interval using the smaller sample size does not allow us to predict the winner., b) We cannot use the confidence interval to predict the winner with certainty, but we can say that there is a higher probability of the Republican candidate winning since the lower bound of the interval is 0.407.

The 95% confidence interval for the proportion of all voters voting for the Republican candidate with n=149 and counts of 68 and 81 is (0.407,0.573). This interval is wider than the interval with n=1490, which makes sense since a smaller sample size leads to more variability in the estimates.

b. We cannot use the confidence interval to predict the winner with certainty, but we can say that there is a higher probability of the Republican candidate winning since the lower bound of the interval is 0.407, which is higher than the proportion of Democratic voters. However, there is still a possibility that the Democratic candidate may win since the upper bound of the interval is 0.573.

a. To determine whether a 95% confidence interval using the smaller sample size (n=149) allows you to predict the winner, we first need to calculate the confidence interval.

Here, we have 68 voters for the Democratic candidate and 81 voters for the Republican candidate.

1. Calculate the sample proportion for the Republican candidate (p):
p = 81/149 = 0.543

2. Calculate the standard error (SE) for the sample proportion:
SE = √(p(1-p)/n) = √(0.543(1-0.543)/149) = 0.040

3. Find the margin of error (ME) for a 95% confidence interval using a Z-score of 1.96:
ME = 1.96 × SE = 1.96 × 0.040 = 0.078

4. Calculate the 95% confidence interval (CI) for the proportion of all voters voting for the Republican candidate:
CI = (p - ME, p + ME) = (0.543 - 0.078, 0.543 + 0.078) = (0.465, 0.621)

The 95% confidence interval for the proportion of all voters voting for the Republican candidate is (0.465, 0.621).

Since this interval includes values both below and above 0.5, we cannot predict the winner with 95% confidence using the smaller sample size. The interval shows that the proportion of voters supporting the Republican candidate could range from 46.5% to 62.1%, making it unclear whether the Republican or Democratic candidate would win.

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1. The company should use a t-test for the population mean, as we are comparing the mean test score for the sample of applicants supplied by the recruiting firm to the historical mean of 75.2.

2. The set of hypotheses the company should use to answer the research question is: D. H0: μ = 75.2 vs. H1: μ > 75.2

1. The appropriate inference procedure for this scenario is the t-test for a population mean. This is because we are comparing a sample mean (76.85) to a known population mean (75.2) with a known sample standard deviation (9.3). So the correct answer is:

E. t-test for a population mean

2. The company wants to determine if the mean test score for applicants provided by the recruiting firm is higher than the historical mean of 75.2. Therefore, the null hypothesis (H0) should be that the mean test score is equal to 75.2, and the alternative hypothesis (H1) should be that the mean test score is greater than 75.2. The correct set of hypotheses is:

H0: μ = 75.2 (the historical mean)

Ha: μ > 75.2 (the mean for the sample of applicants supplied by the recruiting firm is higher).

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The square yard of rubbers needed for the park is 187.5 yards².

The new park is built in the shape of a trapezium. Let's find the square yard of rubbers to cover the ground.

Therefore,

area of a trapezium = 1 / 2 (a + b)h

where

Therefore,

a = 10 yards

b = 20 yards

h = 12.5 yards

area of a trapezium = 1 / 2 (10 + 20)12.5

area of a trapezium = 1 / 2 (30)12.5

area of a trapezium = 15 × 12.5

area of a trapezium = 187.5 yards²

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We can see from the graph that the parabola intersects the x-axis at -4 (where the vertex touches the x-axis).

Since the equation is in the form of ax^2 + bx + c = 0, we can identify that a = 1, b = 8, and c = 16.

Using the quadratic formula, we get:

x = (-b ± sqrt(b^2 - 4ac)) / 2a

x = (-8 ± sqrt(8^2 - 4(1)(16))) / 2(1)

x = (-8 ± sqrt(0)) / 2

x = -4

Therefore, the only solution is x = -4.

Answer: If Chloe wants to minimize the amount of material used for the outer edges of the sandbox, she should make the sandbox a square shape.

Here's why:

- The area of a rectangle is given by the formula A = l x w, where A is the area, l is the length, and w is the width.

- For a square, the length and width are equal, so we can write A = s^2, where s is the length of a side.

- We know that the area of Chloe's sandbox is 36 square units, so we can write s^2 = 36.

- Solving for s, we get s = 6.

- Therefore, Chloe should make the sandbox a square with sides of length 6 units.

- This will minimize the amount of material used for the outer edges of the sandbox, since all sides will be the same length.

Step-by-step explanation:

The independent variable in the regression analysis that will be conducted is the Grade Point Average (G) of university graduates.

It is considered the independent variable because it is the predictor or explanatory variable that is believed to have an effect on the dependent variable, which is the salary offered (W). The regression analysis will help to estimate the relationship between the two variables and provide a mathematical equation that can be used to predict the expected salary for a given Grade Point Average.

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Answer: yield = ($70 / $875) x 100% = 8% (rounded to the nearest hundredth)

Step-by-step explanation:

To calculate the yield on a corporate bond, we need to use the following formula:

yield = (annual coupon payment / bond price) x 100%

In this case, the bond has a face value of $1000 and pays a fixed interest rate of 7%. The bond was purchased at a discount price of $875. The annual coupon payment can be calculated as:

annual coupon payment = face value x coupon rate = $1000 x 7% = $70

Using the formula above, we can calculate the yield as:

yield = ($70 / $875) x 100% = 8%

Therefore, the yield on this corporate bond is 8% rounded to the nearest hundredth.

Answer:

A. The cost of purchasing one pencil.

Step-by-step explanation:

The slope of the line, m, represents the rate of change in cost per pencil. In other words, it represents how much the cost increases or decreases for each additional pencil purchased. To find the slope, we can use the formula:

m = (change in cost) / (change in number of pencils)

You can calculate the slope m by using two points from the table and the formula for slope: m = (y2 - y1) / (x2 - x1), where x1 and y1 are the coordinates of the first point and x2 and y2 are the coordinates of the second point. For example, using the first two points from the table (3, 1.05) and (7, 2.45),

Using the data from the table, we can calculate:

m = ($2.45 - $1.05) / (7 - 3)

m = $1.40 / 4

m = $0.35

Therefore, the slope of the line is $0.35 per pencil.

The slope of the line represents the rate of change in cost with respect to the number of pencils. In this case, m represents the cost of purchasing one pencil.

The equation of line passing through points  (-3,6 ) (-2,9 ) in point slope form is y-6=3(x+3)

The slope intercept form of a line is y=mx+b, where m is slope and b is the y intercept.

The slope of line passing through two points (x₁, y₁) and (x₂, y₂) is

m=y₂-y₁/x₂-x₁

The slope of line passing through  (-3,6 )  and (-2,9 )

m=9-6/-2+3

=3

Point slope form equation is y-y₁=m(x-x₁)

y-6=3(x-(-3))

y-6=3(x+3)

Hence, the equation of line passing through points  (-3,6 ) (-2,9 ) in point slope form is y-6=3(x+3)

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