MAT121 Practice Exercise

Two Sample Tests for Means

Instr. C. Peng

Please show your work before checking the answer and explanations or use a StatsApp to generate the solutions.

An Important Tip. Perform a hypothesis test for two population means. Checking the given condition to determine which procedure is suitable to test the hypothesis each question.




Problem 1.   A researcher was interested in comparing the resting pulse rate of people who exercise regularly and people who do not exercise regularly. Independent simple random samples of 16 people ages 30-40 who do not exercise regularly and 12 people ages 30-40 who do exercise regularly were selected and the resting pulse rate of each person was measured. The summary statistics are as follows.

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At the 2.5% significance level, do the data provide sufficient evidence to conclude that the mean resting pulse rate of people who do not exercise regularly is greater than the mean resting pulse rate of people who exercise regularly? Use the critical-value approach.

Short Answer


Problem 2.   A researcher was interested in comparing the GPAs of students at two different colleges. Independent simple random samples of 8 students from college A and 13 students from college B yielded the following GPAs.

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At the 10% significance level, do the data provide sufficient evidence to conclude that the mean GPA of students at college A differs from the mean GPA of students at college B? Use the critical-value approach.

Short Answer


Problem 3.   A researcher was interested in comparing the response times of two different cab companies. Companies A and B were each called at 50 randomly selected times. The calls to company A were made independently of the calls to company B. The response times for each call were recorded. The summary statistics were as follows:

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At the 0.02 level of significance, do the data provide sufficient evidence to conclude that the mean response time for company A differs from the mean response time for company B? Use the critical value approach.


Short Answer


Problem 4.   A researcher wishes to determine whether the systolic blood pressure of people who follow a vegetarian diet is, on average, lower than the systolic blood pressure of those who follow a nonvegetarian diet. Independent simple random samples of 85 vegetarians and 75 nonvegetarians yielded the following sample statistics:

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Use the sample data to test the claim that the mean systolic blood pressure for vegetarians is lower than the mean systolic blood pressure for nonvegetarians. Test the claim using a significance level of 0.01. Use the P-value approach.


Short Answer



Problem 5.   A researcher was interested in comparing the amount of time spent watching television by women and by men. Independent simple random samples of 14 women and 17 men were selected, and each person was asked how many hours he or she had watched television during the previous week. The summary statistics are as follows.

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At the 5% significance level, do the data provide sufficient evidence to conclude that the mean time spent watching television by women is less than the mean time spent watching television by men? Use the critical-value approach.


Short Answer



Problem 6.  
Five students took a math test before and after tutoring. Their scores were as follows.

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At the 1% significance level, do the data provide sufficient evidence to conclude that the mean score before tutoring differs from the mean score after tutoring? Use the critical-value approach.


Short Answer




Problem 7.   The table below shows the weights, in pounds, of seven subjects before and after following a particular diet for two months.

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At the 1% significance level, do the data provide sufficient evidence to conclude that the diet is effective in reducing weight? Use the critical-value approach.

Short Answer




Problem 8.   A test of abstract reasoning is given to a random sample of students before and after completing a formal logic course. The results are shown below.

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At the 5% significance level, do the data provide sufficient evidence to conclude that that the mean score after the course differs from the mean score before the course? Use the critical-value approach.

View Answer