A researcher was interested in comparing the resting pulse of people who exercise regularly and people wo do not exercise regularly. Independent simple random samples of 16 people ages 30-40 who do no exercise regularly and 12 people ages 30-40 who exercise regularly were selected, and the resting pulse rate of each person was measured. The summary statistics are as follows. Do not exercise Do exercise X1= 73.9 X2= 69.1 S1= 10.9 S2= 10.9 N1= 16 N2=12 1. Verify the conditions needed to proceed with hypothesis testing or Confidence intervals. 2. At the 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? State your null, alternate hypothesis, calculate the test statistic, determine your decision and interpret your decision. 3. Find the 95% confidence interval around the difference between the sample means.
A researcher was interested in comparing the resting pulse of people who exercise regularly and people wo do not exercise regularly. Independent simple random samples of 16 people ages 30-40 who do no exercise regularly and 12 people ages 30-40 who exercise regularly were selected, and the resting pulse rate of each person was measured. The summary statistics are as follows.
| Do not exercise | Do exercise |
| X1= 73.9 | X2= 69.1 |
| S1= 10.9 | S2= 10.9 |
| N1= 16 | N2=12 |
1. Verify the conditions needed to proceed with hypothesis testing or Confidence intervals.
2. At the 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? State your null, alternate hypothesis, calculate the test statistic, determine your decision and interpret your decision.
3. Find the 95% confidence interval around the difference between the sample means.
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