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As the level of confidence increases, what happens to the width of the confidence interval? Does it increase or decrease? Explain a reason why this
- As the level of confidence increases, what happens to the width of the confidence interval? Does it increase or decrease? Explain a reason why this would happen.
- Using the 95% confidence interval, compare the BMI of smokers vs. nonsmokers. Write a few-sentence paragraph explaining whether these intervals overlap or not. What does that indicate about the differences in BMI between the two groups?
- In a few sentences, explain the following: What is one situation in which you as a researcher might choose a 99% confidence interval? A 90% interval? Fully justify your choices.
Group | 90% confidence interval | 95% confidence interval | 99% confidence interval | |
Smokers | Mean = 28 Standard Deviation = 5.366 Sample size = 33 | |||
Nonsmokers | Mean = 29.1 Standard Deviation = 6.042 sample size = 30 |
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