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Review Questions for Test 4 - Statistical Methods | STA 2023, Exams of Data Analysis & Statistical Methods

Material Type: Exam; Professor: Zainulabdeen; Class: Statistical Methods; Subject: STA: Statistics; University: Valencia Community College; Term: Unknown 1989;

Typology: Exams

Pre 2010

Uploaded on 08/04/2009

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Statistics
Review questions for Test-4
---------------------------------------------------------------------------------------------------------
SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
Construct the indicated confidence interval for the difference in proportions. Assume that the samples are independent
and that they have been randomly selected.
1)
A survey of randomly selected college students found that
56
of the
103
freshmen and
88
of the
124
sophomores
surveyed had purchased used textbooks in the past year. Construct a 98% confidence interval for the difference
in the proportions of college freshmen and sophomores who purchased used textbooks.
Interpret the given confidence interval.
2)
ps and the proportion of freshmen at the college who purchased used textbooks in the past year is pf. A study
found a 98% confidence interval for ps - pf is (0.233, 0.423). Give an interpretation of this confidence interval.
Use a two proportion z-test to perform the required hypothesis test. State the conclusion.
3)
Use the given sample data to test the claim that p
1
< p
2
. Use a significance level of 0.10.
Sample 1 Sample 2
n1 = 462 n2 = 380
x1 = 84 x2 = 95
Using the t-tables, software, or a calculator, estimate the critical value of t for the given confidence interval and degrees
of freedom.
4)
90% confidence interval with df = 4.
Use the given sample data to construct the indicated confidence interval for the population mean.
5)
A random sample of 30 households was selected from a particular neighborhood. The number of cars for each
household is shown below. Estimate the mean number of cars per household for the population of households
in this neighborhood. Give the 95% confidence interval.
2 0 1 2 3 2 1 0 1 4
1 3 2 0 1 1 2 3 1 2
1 0 0 4 1 2 2 1 0 2
Interpret the confidence interval.
6)
A credit union took a random sample of 40 accounts and yielded the following 90% confidence interval for the
mean checking account balance at the institution: $2196 < m(balance) < $3830.
Test the given claim by using the P-value method of testing hypotheses. Assume that the sample is a simple random
sample selected from a normally distributed population. Include the hypotheses, the test statistic, the p-value, and your
conclusion.
7)
Test the claim that the mean lifetime of car engines of a particular type is greater than 220,000 miles.
Sample
data are summarized as n = 23, x = 226,450 miles, and s = 11,500 miles. Use a significance level of a = 0.01.
Find the necessary sample size.
8)
Scores on a certain test are normally distributed with a variance of
47
. A researcher wishes to estimate the mean
score achieved by all adults on the test. Find the sample size needed to assure with 98 percent confidence that
the sample mean will not differ from the population mean by more than 5 units.
1
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Statistics

Review questions for Test-

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

Construct the indicated confidence interval for the difference in proportions. Assume that the samples are independent and that they have been randomly selected.

  1. A survey of randomly selected college students found that 56 of the 103 freshmen and 88 of the 124 sophomores surveyed had purchased used textbooks in the past year. Construct a 98% confidence interval for the difference in the proportions of college freshmen and sophomores who purchased used textbooks.

Interpret the given confidence interval.

  1. Suppose the proportion of sophomores at a particular college who purchased used textbooks in the past year is ps and the proportion of freshmen at the college who purchased used textbooks in the past year ispf. A study found a 98% confidence interval for ps - pf is (0.233, 0.423). Give an interpretation of this confidence interval.

Use a two proportion z-test to perform the required hypothesis test. State the conclusion.

  1. Use the given sample data to test the claim that p 1 < p 2. Use a significance level of 0.10. Sample 1 Sample 2 n1 = 462 n2 = 380 x1 = 84 x2 = 95

Using the t-tables, software, or a calculator, estimate the critical value of t for the given confidence interval and degrees of freedom.

  1. 90% confidence interval with df = 4.

Use the given sample data to construct the indicated confidence interval for the population mean.

  1. A random sample of 30 households was selected from a particular neighborhood. The number of cars for each household is shown below. Estimate the mean number of cars per household for the population of households in this neighborhood. Give the 95% confidence interval.

2 0 1 2 3 2 1 0 1 4 1 3 2 0 1 1 2 3 1 2 1 0 0 4 1 2 2 1 0 2

Interpret the confidence interval.

  1. A credit union took a random sample of 40 accounts and yielded the following 90% confidence interval for the mean checking account balance at the institution: $2196 < m(balance) < $3830.

Test the given claim by using the P-value method of testing hypotheses. Assume that the sample is a simple random sample selected from a normally distributed population. Include the hypotheses, the test statistic, the p-value, and your conclusion.

  1. Test the claim that the mean lifetime of car engines of a particular type is greater than 220,000 miles. Sample data are summarized as n = 23, x = 226,450 miles, and s = 11,500 miles. Use a significance level of a = 0.01.

Find the necessary sample size.

  1. Scores on a certain test are normally distributed with a variance of 47. A researcher wishes to estimate the mean score achieved by all adults on the test. Find the sample size needed to assure with 98 percent confidence that the sample mean will not differ from the population mean by more than 5 units.

Provide an appropriate response.

  1. A researcher estimates that the mean systolic blood pressure for women aged between 18 and 24 is118 mmHg. At the 95% confidence level, the margin of error is 2.4 mmHg. How would you interpret this margin of error?

Construct the indicated confidence interval for the difference between the two population means. Assume that the assumptions and conditions for inference have been met.

  1. A researcher was interested in comparing the number of hours of television watched each day by two-year-olds and three-year-olds. A random sample of 18 two-year-olds and 18 three-year-olds yielded the follow data.

2-year-olds 3-year-olds 0.5 1.5 2.0 3. 1.5 2.0 1.5 1. 1.5 0 1.5 2. 1.0 1.0 1.0 0 1.0 0 0 1. 2.0 1.5 1.5 2. 2.5 2.0 2.5 2. 0.5 0 3.0 1. 1.5 2.5 1.5 0.

Find a 98% confidence interval for the difference, m 2 - m 3 , between the mean number of hours for two-year-olds and the mean number of hours for three-year-olds.

Interpret the given confidence interval.

  1. A researcher was interested in comparing the salaries of female and male employees of a particular company. Independent random samples of female employees (sample 1) and male employees (sample 2) were taken to calculate the mean salary, in dollars per week, for each group. A 95% confidence interval for the difference,

m 1 - m 2 , between the mean weekly salary of all female employees and the mean weekly salary of all male

employees was determined to be (-$110, $50).

Use the paired t-interval procedure to obtain the required confidence interval for the mean difference. Assume that the conditions and assumptions for inference are satisfied.

  1. Using the sample paired data below, construct a 90% confidence interval for the population mean of all differences x - y.

x 3.6 4.4 3.4 3.7 6. y 3.3 3.2 3.0 4.4 4.

Interpret the given confidence interval.

  1. A study was conducted to determine the average number of words children learn during their third year. For a random sample of one hundred children, parents reported the number of words spoken at 24 months and then again at 36 months of age. An 98% confidence interval for the difference of the means at 36 months and 24 months, m 36 - m 24 , was determined to be (198, 274).