A physician wants to see if there was a difference in the average smokers' daily cigarette consumption after wearing a nicotine patch. The physician set up a study to track daily smoking consumption. In the study, the patients were given a placebo patch that did not contain nicotine for 4 weeks, then a nicotine patch for the following 4 weeks. Test to see if there was a difference in the average smoker's daily cigarette consumption using α = 0.01. The hypotheses are: H0 : μD = 0 H1 : μD ≠ 0 t-Test: Paired Two Sample for Means Placebo Nicotine Mean 18.75 12.3125 Variance 66.599 34.6667 Observations 16 16 Pearson Correlation 0.6105 Hypothesized Mean Difference 0 df 15 t Stat 3.5481 P(T<=t) one-tail 0.0126 t Critical one-tail 2.6025 P(T<=t) two-tail 0.0252 t Critical two-tail 2.9467 What is the correct p-value? Question 1 options: 0.6105 2.6025 2.9467 0.0126 0.0252
A physician wants to see if there was a difference in the average smokers' daily cigarette consumption after wearing a nicotine patch. The physician set up a study to track daily smoking consumption. In the study, the patients were given a placebo patch that did not contain nicotine for 4 weeks, then a nicotine patch for the following 4 weeks. Test to see if there was a difference in the average smoker's daily cigarette consumption using α = 0.01. The hypotheses are:
H0 : μD = 0
H1 : μD ≠ 0
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t-Test: Paired Two Sample for Means |
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Placebo |
Nicotine |
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Mean |
18.75 |
12.3125 |
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Variance |
66.599 |
34.6667 |
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Observations |
16 |
16 |
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Pearson |
0.6105 |
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Hypothesized Mean Difference |
0 |
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df |
15 |
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t Stat |
3.5481 |
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P(T<=t) one-tail |
0.0126 |
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t Critical one-tail |
2.6025 |
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P(T<=t) two-tail |
0.0252 |
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t Critical two-tail |
2.9467 |
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What is the correct p-value?
Question 1 options:
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0.6105 |
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2.6025 |
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2.9467 |
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0.0126 |
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0.0252 |
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