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 72 smokers has a mean pulse rate of 75, and a sample of 81 non-smokers has a mean pulse rate of 72. The population standard deviation of the pulse rates is known to be 6 for smokers and 9 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: Reject Null Hypothesis or Fail to Reject Null Hypothesis
Step 5 of 5 : State the conclusion of the hypothesis test: There is sufficient evidence to support the claim or There is not sufficient evidence to support the claim.
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Since , the population standard deviations are known.
Therefore , use Z-test for testing two means.
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 :
Hypothesis: Vs
Step 2 of 5 :
The test statistic is ,
Step 3 of 5 :
The p-value is ,
p-value=
; From standard normal distribution table
Step 4 of 5 :
Decision : Here , p-value=0.0142< 0.05
Therefore , reject Ho.
Step 5 of 5 :
Conclusion : There is sufficient evidence to support the claim that the pulse rate for smokers and non-smokers is different.
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