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In each of Exercises 8.63-8.68, we provide a sample mean, sample size, population standard deviation, and confidence level In each case, perform the following tasks:

a. Use the one-mean z-interval procedure to find a confidence interval for the mean of the population from which the sample was drawn.

b. Obtain the margin of error by taking half the length of the confidence interval.

c. Obtain the margin of error by using Formula 8.l on page 325

x=55,n=16,σ=5, confidence level =99%

Short Answer

Expert verified

Part (a) The 90%confidence interval for μis (51.7812,58.2188)

Part (b) The margin of error by using the half-length of the confidence interval is3.2188

Part (c) The margin of error by using the formula is3.2188

Step by step solution

01

Part (a) Step 1: Given information

x=55,n=16,σ=5, confidence level =99%

02

Part (a) Step 2: Concept

The formula used: the confidence intervalx¯±zα2σnandMarginof error(E)=za2σn

03

Part (a) Step 3: Calculation

Compute the 90%confidence interval for μ

Consider x¯=55,n=16,σ=5, and confidence level is 90%

The needed value of za2 with a 90% confidence level is 2.575, as shown in "Table II Areas under the standard normal curve."

Thus, the confidence interval is,

x¯±zα2σn=55±2.575516=55±2.575(1.25)=55±3.2188=(51.7812,58.2188)

Therefore, the 99% confidence interval for μ is (51.7812,58.2188)

04

Part (b) Step 1: Calculation

Using the half-length of the confidence interval, calculate the margin of error.

Margin of error=58.2188-51.78122=6.43762=3.2188

Thus, the margin of error by using the half-length of the confidence interval is 3.2188

05

Part (c) Step 1: Calculation

Using a formula, calculate the margin of error.

Margin of error(E)=za2σn=2.575516=2.575(1.25)=3.2188

The margin of error by using the formula is 3.2188

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Most popular questions from this chapter

Formula 8.2on page 327provides a method for computing the sample size required to obtain a confidence interval with a specified confidence level and margin of error. The number resulting from the formula should be rounded up to the nearest whole number.

a. Why do we want a whole number?

b. Why do we round up instead of down?

Identify the formula for the margin of error for the estimate of a population mean when the population standard deviation is unknown.

A confidence interval for a population mean has length 20.

a. Determine the margin of error.

b. If the sample mean is 60, obtain the confidence interval.

c. Construct a graph that illustrates your results.

Digital Viewing Times. Refer to Exercise 8.130

a. Find and interpret a 90%lower confidence bound for last year's mean time spent per day with digital media by American adults.

b. Compare your one-sided confidence interval in part (a) to the (two-sided) confidence interval found in Exercise 8.130.

M\&Ms. In the article "Sweetening Statistics-What M\&M's Can Teach Us" (Minitab Inc., August 2008), M. Paret and E. Martz discussed several statistical analyses that they performed on bags of M\&Ms. The authors took a random sample of 30 small bags of peanut M\&Ms and obtained the following weights, in grams (g).

a. Determine a 95%lower confidence bound for the mean weight of all small bags of peanut M\&Ms. (Note: The sample mean and sample standard deviation of the data are 52.040gand 2.807grespectively.)

b. Interpret your result in pant (a).

c. According to the package, each small bag of peanut M\&Ms should weigh 49.3gComment on this specification in view of your answer to part (b) It provides equal confidence with a greater lower limit.

Part (c) Because the weight of 49.3g is below the 95% lower confidence bound.

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