An HR administrator wishes to know the proportion of employees that are currently using a very costly benefit to determine if it is still considered valuable by the staff. If the administrator has no preliminary notion of the proportion of employees using the benefit, how big a sample must she collect to be accurate within 0.09 at the 95% level of confidence?
Standard Normal Distribution Table
Round up to the next whole number

Answer:

m = 55°

Step-by-step explanation:

The entire angle is a right angle.

Right angles are always equal to 90°

In this picture, the right angle is split in half.

So to find the measure of angle m, we have to subtract 35 from 90.

[tex]90-35\\=55[/tex]

m = 55°

Celine will have taken 55 quizzes after attending 11 weeks of school.

In mathematics, an expression is a combination of numbers, variables, and operations that are grouped together to represent a mathematical relationship or quantity.

Celine took 45 quizzes in 9 weeks, so the unit rate is:

45 quizzes / 9 weeks = 5 quizzes per week

If Celine attends 11 weeks of school, we can use the unit rate to find how many total quizzes she will have taken:

Total quizzes = Unit rate × Number of weeks

Total quizzes = 5 quizzes per week × 11 weeks

Total quizzes = 55 quizzes

Therefore, Celine will have taken 55 quizzes after attending 11 weeks of school.

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The correct option is the last one:

The theoretical probability, P(brown), is 25%, and the experimental probability is 32.5%.

The theoretical probability is given by.

P  = 100%(number of brown marbles)/(total number)

Then we will get:

P  = 100%*10/40 = 25%

The experimental probability is given by the quotient between the number of times that a brown marble was pulled (13) and the total number of trials, here we have:

E = 100%*13/40

E = 32.5%

So we can see that the experimental probability is larger, and the correct option is the last one.

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Answer:

D

Step-by-step explanation:

Answer:

To solve this problem, you can use the formula for compound interest:

A = P * (1 + r/n)^(n*t)

where:

A is the amount of money you'll have after t years

P is the initial deposit

r is the annual interest rate as a decimal (0.036 in this case)

n is the number of times the interest is compounded per year (12 for monthly compounding)

t is the time in years

You want to find t, so you can rearrange the formula to solve for t:

t = log(A/P) / (n * log(1 + r/n))

Substituting the given values, we get:

t = log(5800/0.01) / (12 * log(1 + 0.036/12))

t ≈ 33.5 months

So it will take about 33.5 months (rounded up to the next-higher month) until you have $5,800 to buy a boat, given monthly deposits of $90 into an account that pays 3.6% compounded monthly.

Step-by-step explanation:

It will take 33 months to save $5,800 for the boat.

We can use the formula for the future value of an annuity due to find how long it will take to save $5,800 with monthly deposits of $90 at an interest rate of 3.6% compounded monthly:

FV = PMT * [(1 + r/n)^(n*t) - 1] / (r/n)

where:

FV = future value (in this case, $5,800)

PMT = monthly deposit ($90)

r = annual interest rate (3.6%)

n = number of compounding periods per year (12 for monthly compounding)

t = time (in years)

Substituting the values given:

5800 = 90 * [(1 + 0.036/12)^(12*t) - 1] / (0.036/12)

Simplifying and solving for t:

(1 + 0.003)^(12t) = (5800 * 0.036 / 90) + 1

(1.003)^12t = 1.1456

12t = log(1.1456) / log(1.003)

t = 32.31 months

Rounding up to the next higher month, we get:

t = 33 months

Therefore, it will take 33 months to save $5,800 for the boat.

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There is only a 5% chance that the observed results occurred randomly, providing greater confidence in the validity of their findings.

Statistical significance is important because it allows psychologists to draw conclusions about the relationship between variables and make generalizations about a population based on the sample they studied.

In order to be 95% certain that psychologists' results didn't occur by chance, they need to achieve a statistical significance level of 0.05.

To be 95% certain that their results didn't occur by chance, psychologists need to achieve a statistical significance level of 0.05.

This means that there is only a 5% chance that the observed results occurred randomly, providing greater confidence in the validity of their findings.

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For two Vertical angles say Angle 1 and angle 2, with measure expression of angle 1 = 7x+20 and angle 2 = 9x-14, the measure of angle 2 is equals to 139°.

Vertical angles are pair angles formed two lines meet each other at a point. Vertically opposite angles is another name of vertical angles because the angles are opposite to each other. They are always equal. In above figure 1° and 2° are vertical angles. We have, a pair of vertically opposite angles, angle 1 and angle 2. The measure of angle 1 = 7x + 20.

The measure of angle 2 = 9x - 14. We have to determine measure of angle 2. Vertical angles are always equal, so measure of angle 1 = measure of angle 2

=> [tex]7x + 20 = 9x - 14[/tex].

Solve the expression, 9x - 7x = 20 + 14

=> 2x = 34

=> x = 17

So, measure of angle 2 = 9x - 14 = 9 × 17 - 14 = 153 - 14 = 139°

Measure of angle 1 = 139°. hence, required measure of angle is 139°.

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The flywheel you described is a uniformly thick disk with a radius of 1.88 m and a mass of 60.1 kg. It spins counterclockwise at a rate of 207 rpm (revolutions per minute).

The flywheel in the form of a uniformly thick disk with a radius of 1.88 m has a mass of 60.1 kg and spins counterclockwise at 207 rpm. Since the flywheel is a disk, its moment of inertia can be calculated using the formula I = (1/2)mr^2, where m is the mass of the disk and r is its radius. Using this formula, we can calculate that the moment of inertia of the flywheel is approximately 433.92 kg*m^2. Additionally, since the flywheel spins counterclockwise, it is rotating in the opposite direction of the clockwise motion.

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To provide a 95% confidence interval with a margin of error of 0.05, a sample size of 307 should be taken.

To determine the sample size needed for a 95% confidence interval with a margin of error of 0.05, given the planning value for the population proportion p* = 0.27, we can follow these steps:

1. Identify the desired confidence level (z-score): Since we are looking for a 95% confidence interval, we can use the z-score for 95%, which is 1.96.

2. Determine the planning value (p*): In this case, p* = 0.27.

3. Calculate q* (1 - p*): q* = 1 - 0.27 = 0.73.

4. Identify the margin of error (E): E = 0.05.

5. Use the formula for sample size (n): n = (z^2 * p * q) / E^2, where z = z-score, p = p*, q = q*, and E = margin of error.

6. Plug in the values: n = (1.96^2 * 0.27 * 0.73) / 0.05^2.

7. Calculate the result: n ≈ 306.44.

8. Round up to the nearest whole number: n = 307.

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Answer:

 43.3.

Step-by-step explanation:

· The area is approximately 43.3. The precise answer is 25 × √3. To get this answer, recall the formula for the area of an equilateral triangle of side a reads area = a2 …

4b^2 - 4ac < 0

b^2 - ac < 0

This is the condition for a hyperbola.

The previous problem, which is not included in the question, likely involves finding the eigenvalues of the matrix associated with the quadratic form given by the equation ax^2 + 2bxy + cy^2 = 1. Once we have the eigenvalues, we can determine the type of conic section represented by the equation.

Let λ1 and λ2 be the eigenvalues of the matrix associated with the quadratic form. Then we have the following cases:

λ1 and λ2 are both positive: In this case, the matrix is positive definite and the conic section is an ellipse.

λ1 and λ2 are both negative: In this case, the matrix is negative definite and the conic section is an ellipse.

λ1 and λ2 are both zero: In this case, the matrix is degenerate and the conic section is a pair of intersecting lines.

λ1 and λ2 have opposite signs: In this case, the matrix is indefinite and the conic section is a hyperbola.

Now, let's consider the discriminant of the quadratic form:

b^2 - 4ac

If this quantity is positive, then the eigenvalues have opposite signs and the conic section is a hyperbola. If it is negative, then the eigenvalues have the same sign and the conic section is an ellipse. If it is zero, then the conic section is a pair of intersecting lines.

So, for the equation ax^2 + 2bxy + cy^2 = 1, we have:

b^2 - 4ac = 4b^2 - 4ac

If this quantity is positive, then we have:

4b^2 - 4ac > 0

b^2 - ac > 0

This is the condition for an ellipse.

If this quantity is negative, then we have:

4b^2 - 4ac < 0

b^2 - ac < 0

This is the condition for a hyperbola.

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The program area that is NOT included in the Sigma Phi Delta Efficiency Contest is D. Fraternal Events.

The Efficiency Contest is focused on improving chapter operation through the program areas of Brotherhood Development, Academic Achievement, Pledge Education, Chapter Operations, and Community Service.

The other options (A. Brotherhood Development, B. Academic Achievement, C. Pledge Education, and E. Chapter Operations) are all part of the Efficiency Contest's program areas.

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In this case, the displacement of the particle at time t is given by ∫ v(t) dt, and the displacement after 120 seconds is given by ∫_0^120 v(t) dt.

The integral of |v(t)| over the time interval [0, 120] gives the total distance traveled by the particle during that time.

Specifically, the value of the integral gives us the difference between the velocity of the particle at time t=120 and its velocity at time t=0.

a) The integral 120 ∫ v(t) dt represents the displacement of the particle from its starting point after 120 seconds, assuming that its initial displacement is zero. This can be seen by the fundamental theorem of calculus, which states that if F(x) is an antiderivative of f(x), then ∫ f(x) dx = F(b) - F(a), where a and b are the limits of integration. In this case, the displacement of the particle at time t is given by ∫ v(t) dt, and the displacement after 120 seconds is given by ∫_0^120 v(t) dt.

b) The integral 120 ∫ |v(t)| dt represents the distance that the particle travels in 120 seconds. This is because |v(t)| represents the magnitude of the velocity, or speed, of the particle at time t, regardless of its direction. Thus, the integral of |v(t)| over the time interval [0, 120] gives the total distance traveled by the particle during that time.

c) The integral 120 ∫ a(t) dt represents the change in velocity of the particle over the time interval [0, 120]. This can be seen by the fundamental theorem of calculus, which tells us that if f(x) is the derivative of g(x), then ∫ f(x) dx = g(x) + C, where C is a constant of integration. In this case, a(t) is the derivative of v(t), so the integral of a(t) over the time interval [0, 120] gives us the change in velocity of the particle during that time. Specifically, the value of the integral gives us the difference between the velocity of the particle at time t=120 and its velocity at time t=0.

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To consider using the bisection method to find the roots of the function f(x) - 3 = 0, you may follow these steps:

1. First, rewrite the function as f(x) = 3.

2. Choose an interval [a, b] such that f(a) and f(b) have opposite signs, which means that f(a) * f(b) < 0.

3. Calculate the midpoint, c, of the interval [a, b] using the formula c = (a + b) / 2.

4. Evaluate the function at the midpoint, f(c).

5. If f(c) is close enough to the desired root (within a pre-defined tolerance), then c is the approximate root of the function.

6. If f(c) is not close enough to the desired root, update the interval based on the sign of f(c):
  a. If f(c) * f(a) < 0, then the root lies in the interval [a, c]. Update the interval to [a, c].
  b. If f(c) * f(b) < 0, then the root lies in the interval [c, b]. Update the interval to [c, b].

7. Repeat steps 3-6 until the desired accuracy is reached.

By following these steps, you can use the bisection method to find the roots of the function f(x) - 3 = 0.

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The intervals over which  it is increasing or decreasing is:

Increasing on: ([tex]-\infty[/tex], -1)

Decreasing on: (-1, [tex]\infty[/tex])

The definitions for increasing and decreasing intervals are given below.

The function is :

[tex]f(x)=-x^2-2x+3[/tex]

We have to find the interval of function is decrease/increase .

Now, We have to first differentiate with respect to x , then:

f'(x) = - 2x + 2

This derivative is never 0 for real x.

In order to determine the intervals over which  it is increasing or decreasing.

Increasing on: ([tex]-\infty[/tex], -1)

Decreasing on: (-1, [tex]\infty[/tex])

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Since the x-intercepts are the points where the fruit or vegetable hits the ground, their y-coordinates are 0. We can find the x-coordinate of the second x-intercept by using the fact that the path of the fruit or vegetable is a parabolic curve.

If we assume that the launch point of the fruit or vegetable is at (a, b), where a is the horizontal distance it travels and b is the initial height, then the equation of the parabolic path can be written as:

y = ax^2 + bx

To find the second x-intercept, we need to solve for x when y = 0. Thus, we have:

0 = ax^2 + bx

Factoring out x, we get:

0 = x(ax + b)

Since the x-coordinate of the first x-intercept is 0, we know that a is not equal to 0. Therefore, the only way for the equation to be true is if x = 0 or ax + b = 0. We already know that x = 0 corresponds to the first x-intercept, so we solve ax + b = 0 for x:

ax + b = 0

x = -b/a

Therefore, the x-coordinate of the second x-intercept is -b/a.

The initial height b is not given in the problem, so we cannot determine the exact coordinates of the second x-intercept.

f(0)(-1) = 2

f(1)(-1) = 4

f(2)(-1) = 6

First, let's find the first three derivatives of f(x):

f(x) = 3x^2 + 2x + 2

f'(x) = 6x + 2

f''(x) = 6

Now, we can use the formula for the degree 2 Taylor polynomial at x = a = -1:

p2(x) = f(a) + f'(a)(x-a) + f''(a)(x-a)^2/2

Plugging in a = -1 and the derivatives we found above, we get:

p2(x) = f(-1) + f'(-1)(x+1) + f''(-1)(x+1)^2/2

p2(x) = (3(-1)^2 + 2(-1) + 2) + (6(-1) + 2)(x+1) + 6(x+1)^2/2

p2(x) = 3 - 4(x+1) + 3(x+1)^2

Therefore, the degree 2 Taylor polynomial of f(x) at x = -1 is p2(x) = 3 - 4(x+1) + 3(x+1)^2.

To find the desired derivatives at x = -1:

f(0)(-1) = 2

f(1)(-1) = 4

f(2)(-1) = 6

Therefore, the degree 2 Taylor polynomial of f(x) at x = -1 is:

p2(x) = 3 - 4(x+1) + 3(x+1)^2

And the derivatives at x = -1 are:

f(0)(-1) = 2

f(1)(-1) = 4

f(2)(-1) = 6

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The value of the given equation in the given case can be represented as -

 [tex]f'(3)[/tex] = -11.316.

To find f'(x), we can use the product rule:

[tex]f(x) = 4x(sin(x))\\f'(x) = 4(sin(x)) + 4x(cos(x))[/tex]

To find [tex]f'(3[/tex]), we plug in x = 3:

[tex]f'(3) = 4(sin(3)) + 4(3)(cos(3))\\\\f'(3) = 4(0.141) + 4(3)(-0.990)\\f'(3) = 0.564 - 11.88\\f'(3) = -11.316[/tex]

n other words, to take the derivative of a product of two functions, we multiply the derivative of the first function by the second function, and add it to the product of the first function and the derivative of the second function.

Therefore,[tex]f'(3)[/tex] = -11.316.

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To determine if the claim that the average cost of a hotel room in New York is $168 per night is true, a hypothesis test can be performed using the sample mean of 25 hotels that was found to be $172.50 and a standard deviation of $15.40.

The null hypothesis for this test is that the population means is equal to $168 per night, while the alternative hypothesis is that the population mean is not equal to $168 per night. A significance level, such as 0.05, can be chosen to determine the threshold for rejecting the null hypothesis.

Using a t-test with a sample size of 25 and a known standard deviation, the test statistic can be calculated as (172.50 - 168) / (15.40 / sqrt(25)) = 1.55. The degree of freedom for this test is 24.

Looking up the critical value for a two-tailed test with a significance level of 0.05 and 24 degrees of freedom gives a value of 2.064. Since the absolute value of the test statistic is less than the critical value, we fail to reject the null hypothesis.

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Answer: 80 times total (40 times landed on heads for each coin)

P = $1250 (rounded to the nearest cent). The principal was $1250.

What is algebra?

Algebra is a branch of mathematics that deals with mathematical operations and symbols used to represent numbers and quantities in equations and formulas. It involves the study of variables, expressions, equations, and functions.

We can use the simple interest formula to solve this problem:

I = Prt

where I is the interest earned, P is the principal, r is the annual interest rate (as a decimal), and t is the time in years.

Since the interest is simple, we can calculate the interest earned over 8 months as:

I = Pr(8/12)

where 8/12 represents 8 months as a fraction of a year.

We are given that the interest rate is 6%/year, so r = 0.06. We are also given that the total amount after 8 months is $1300, so we can set up an equation to solve for P:

P + I = $1300

Substituting in the values we have:

P + P0.06(8/12) = $1300

Simplifying:

P*(1 + 0.06*(8/12)) = $1300

P*(1 + 0.04) = $1300

P*1.04 = $1300

P = $1300/1.04

P = $1250 (rounded to the nearest cent)

Therefore, the principal was $1250.

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The alternative hypothesis is that it is more than 3 grams.

H0: σ ≤ 3

Ha: σ > 3

The null hypothesis (H0) is typically a statement of no effect or no difference, while the alternative hypothesis (Ha) is a statement of the effect or difference that we are trying to detect.

In this case, the null hypothesis is that the standard deviation of the weights of the bags of potato chips is no more than 3 grams, while the alternative hypothesis is that it is more than 3 grams.

H0: σ ≤ 3

Ha: σ > 3

where σ is the population standard deviation.

Step 2 of 3: Determine the appropriate test statistic and critical value(s) for the test.

Since the sample size is greater than 30 and the population standard deviation is unknown, we can use a t-test with (n-1) degrees of freedom. The test statistic is:

t = (s / sqrt(n-1)) / (σ0 / sqrt(n-1))

where s is the sample standard deviation, n is the sample size, and σ0 is the null hypothesis value of the population standard deviation (which is 3 grams in this case).

Under the null hypothesis, the test statistic follows a t-distribution with (n-1) degrees of freedom. To find the critical value(s) for the test at the 0.025 level of significance with 20 degrees of freedom, we need to look up the t-value that has 0.025 probability in the upper tail of the t-distribution with 20 degrees of freedom:

tα = t(0.025,20) ≈ 2.093

Step 3 of 3: Calculate the test statistic and make a decision.

Plugging in the values from the problem, we get:

t =[tex]\frac{(\frac{4.1 }{\sqrt{(21-1)} } )}{\frac{3}{\sqrt{(21-1)} } }[/tex]  ≈ 3.16

The calculated t-value is greater than the critical value, which means that we reject the null hypothesis at the 0.025 level of significance.

In other words, the evidence supports the claim that the standard deviation of the weights of the bags of potato chips is more than 3 grams, and thus the bags do not pass inspection.

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To find the number that exceeds its square by the greatest amount, we can use these terms: "number" and "square."

Let "n" represent the number.
The square of the number is "n^2."

We are looking for the greatest difference between the number and its square, which can be represented as:

Difference (D) = n - n^2

To find the number that maximizes this difference, we can use calculus to find the critical points (where the derivative is zero or undefined). However, since you asked not to solve it, I'll provide the necessary equations for solving:

1. D = n - n^2
2. Find the derivative of D with respect to n: dD/dn

By following these steps, you can solve for the number that exceeds its square by the greatest amount.

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With a 10% margin of error in either direction, the price range for replacing the hot water boiler is $7,470 to $9,130.

To provide a margin of error of 10% in each direction, we need to calculate the high and low range by adding and subtracting 10% of the current cost from the current cost itself.

To calculate the high range, we can add 10% of the current cost to the current cost:

High range = $8,300 + (10% of $8,300)

High range = $8,300 + $830

High range = $9,130

To calculate the low range, we can subtract 10% of the current cost from the current cost:

Low range = $8,300 - (10% of $8,300)

Low range = $8,300 - $830

Low range = $7,470

Therefore, the price range for replacing the hot water boiler with a margin of error of 10% in each direction is between $7,470 and $9,130.

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The range of the exponential function f(x) = -3^x - 1 is given as follows:

the set of real numbers less than -1.

The function in this problem is given as follows:

f(x) = -3^x - 1.

-3^x is a reflection over the x-axis of 3^x, hence the range is composed by negative numbers, and the subtraction by 1 means that y = -1 is the horizontal asymptote, hence the range of the function is defined as follows:

the set of real numbers less than -1.

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Answer:

[tex]x = 32.637075718 cm^2[/tex]

Step-by-step explanation:

[tex]cos(40\textdegree) = \frac{25}{x}\\\\x = 25/cos(40\textdegree)\\x = 32.637075718 cm^2[/tex]

The probability of observing 13 or more successes out of 15 trials, assuming no difference in preference between Simply Significant and Starbucks coffee, is 0.9437.

Assuming a null hypothesis that there is no difference in preference between Simply Significant and Starbucks coffee, the number of successes (preferred Simply Significant coffee) out of 15 trials follows a binomial distribution with parameters n=15 and p=0.5 (under the null hypothesis).

To calculate the probability of observing 13 or more successes, we can use the cumulative distribution function (CDF) of the binomial distribution:

P(X ≥ 13) = 1 - P(X < 13)

Using a binomial calculator or statistical software, we can find:

P(X < 13) = 0.0563

Therefore,

P(X ≥ 13) = 1 - P(X < 13) = 1 - 0.0563 = 0.9437

So the probability of observing 13 or more successes out of 15 trials, assuming no difference in preference between Simply Significant and Starbucks coffee, is 0.9437.

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The total cost of tuition, books, and fees for this student when attending college for four years will be $64651

Assuming that the annual increase of $750 per year is compounded each year

we can use the formula for the future value of an annuity to calculate the total cost of tuition, books, and fees for the four years:

[tex]FV = PMT \frac{((1 + r)^n - 1)}{r}[/tex]

In this case, PMT = $15,000, r = 750/15000 = 0.05, and n = 4.

Plugging in these values, we get:

Total cost or FV = $15,000 x ((1 + 0.05)⁴ - 1) / 0.05

FV = $15,000 x(1.2155)-1)/0.05

FV = $15,000 x 0.2155/0.05

FV = $15,000 x4.31

FV = $64651

Hence, the total cost of tuition, books, and fees for this student when attending college for four years will be $64651

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The sample space for rolling a fair seven - sided die is A. S = {1, 2, 3, 4, 5, 6, 7}.

To identify all probable results within a random experiment, we use a sample space. Rolling a seven-sided dice is one such experiment, which would entail as its possible outcomes the characters 1 through 7 representing each face of the die.

Claiming 8, an impossible outcome in this scenario, invalidates Option 2. Meanwhile, Option 3 lays emphasis on only a single feasible result among the seven possible outcomes realized from rolling a seven-sided die, and subsequently falls short of providing a complete list. Precisely put, when you roll the said dice, there will exist seven credible outcomes rather than one singular possibility.

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The 95% confidence interval for the population mean is approximately (61.91 inches, 64.89 inches)

To construct the 95% confidence interval for the population mean, we will use the given information and the formula:

[tex]Lower Bound = Point Estimate - (1.96)(\frac{s}{\sqrt{n} } )[/tex]
[tex]Lower Bound = Point Estimate +(1.96)(\frac{s}{\sqrt{n} } )[/tex]

In this case, the point estimate is the mean height of the sample, which is 63.4 inches. The standard deviation (s) is 2.4, and the sample size (n) is 10. Now we can plug these values into the formula:

[tex]Lower Bound = 63.4 - (1.96)\frac{2.4}{\sqrt{10} }  = 63.4 - (1.96)(0.759) = 63.4 - 1.489 = 61.91[/tex]
[tex]Upper Bound = 63.4 + (1.96)\frac{2.4}{\sqrt{10} }  = 63.4 + (1.96)(0.759) = 63.4 + 1.489 = 64.89[/tex]

Therefore, the 95% confidence interval for the population mean is approximately (61.91 inches, 64.89 inches).

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