A hospital is wanting to know whether or not they should serve caffeinated coffee in their waiting rooms.
The hospital tested 31 patients heart rates before coffee and then again after 2 cups of coffee.
You are asked to determine if there is sufficient evidence to show that caffeinated coffee increases heart rate.
1. Identify the claim. 2. State the null and alternative hypotheses, in words and in symbolic form. 3. Explain what type of test you will be performing (i.e. a test of two dependent means, a test for correlation, etc.) and why that test is appropriate to address the main question you are trying to answer. 4. Select the significance level and determine if it is a one or two-tailed test. 5. Identify the test statistic and compute the value of the test statistic and the p-value. 6. Make a decision of whether to Reject or Fail to Reject the null hypothesis. 7. Restate your decision in nontechnical terms. That means, state your conclusion in a way that anyone can understand; a final conclusion that just says “reject the null hypothesis” by itself without explanation is not helpful to those who hired you. Explain in ordinary terms what it means.
Heart Rate Before Coffee Heart Rate After Coffee
80 95
70 100
80 84
65 65
77 84
60 74
90 100
75 85
88 98
70 95
78 80
70 80
62 78
50 60
72 88
75 79
60 72
72 90
60 65
68 78
65 75
62 75
75 90
84 88
87 95
73 87
78 88
68 75
72 84
81 92
75
86
1)
Claim: caffeinated coffee increases heart rate.
2)
difference (d) = Heart Rate After Coffee - Heart Rate Before Coffee
Null Hypothesis:
OR caffeinated coffee does not increases heart rate.
Alternative Hypothesis:
OR caffeinated coffee increases heart rate.
3)
Test of two dependent mean or Paired T test.
4)
One tailed test (right)
5)
Computational table:
Calculation:
Test statistic:
Degrees of Freedom = n-1 = 31-1 = 30
P-value = 0.0000 ....Using t table
6)
P-value < α, i.e. 0.000 < 0.05, That is Reject Ho at 5% level of significance.
7)
There is sufficient evidence that caffeinated coffee increases heart rate.
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