A medical researcher wants to compare the pulse rates of smokers and non-smokers. He believes that the pulse rate for smokers and non-smokers is different and wants to test this claim at the 0.05 level of significance. A sample of 73 smokers has a mean pulse rate of 83, and a sample of 58 non-smokers has a mean pulse rate of 79. The population standard deviation of the pulse rates is known to be 6 for smokers and 7 for non-smokers. Let μ1 be the true mean pulse rate for smokers and μ2 be the true mean pulse rate for non-smokers. Step 1 of 5: State the null and alternative hypotheses for the test Step 2 of 5:Compute the value of the test statistic. Round your answer to two decimal places. Step 3 of 5:Find the p-value associated with the test statistic. Round your answer to four decimal places. Step 4 of 5:Make the decision for the hypothesis test. Step 5 of 5:State the conclusion of the hypothesis test.
Unitary Method
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Speed, Time, and Distance
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Units and Measurements
Measurements and comparisons are the foundation of science and engineering. We, therefore, need rules that tell us how things are measured and compared. For these measurements and comparisons, we perform certain experiments, and we will need the experiments to set up the devices.
A medical researcher wants to compare the pulse rates of smokers and non-smokers. He believes that the pulse rate for smokers and non-smokers is different and wants to test this claim at the 0.05 level of significance. A sample of 73 smokers has a mean pulse rate of 83, and a sample of 58 non-smokers has a mean pulse rate of 79. The population standard deviation of the pulse rates is known to be 6 for smokers and 7 for non-smokers. Let μ1 be the true mean pulse rate for smokers and μ2 be the true mean pulse rate for non-smokers.
Step 1 of 5: State the null and alternative hypotheses for the test
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