Confidence Intervals and Introduction to Inference Free Response Practice Problems for AP Statistics
Review the following concepts if necessary:
- Estimation and Confidence Intervals for AP Statistics
- Confidence Intervals for Means and Proportions for AP Statistics
- Sample Size for AP Statistics
- Statistical Significance and P-Value for AP Statistics
- The Hypothesis-Testing Procedure for AP Statistics
- Type-I and Type-II Errors and the Power of a Test for AP Statistics
- You attend a large university with approximately 15,000 students. You want to construct a 90% confidence interval estimate, within 5%, for the proportion of students who favor outlawing country music. How large a sample do you need?
- The local farmers association in Cass County wants to estimate the mean number of bushels of corn produced per acre in the county. A random sample of 13 1-acre plots produced the following results (in number of bushels per acre): 98, 103, 95, 99, 92, 106, 101, 91, 99, 101, 97, 95, 98. Construct a 95% confidence interval for the mean number of bushels per acre in the entire county. The local association has been advertising that the mean yield per acre is 100 bushels. Do you think it is justified in this claim?
- Two groups of 40 randomly selected students were selected to be part of a study on drop-out rates. Members of one group were enrolled in a counseling program designed to give them skill needed to succeed in school and the other group received no special counseling. Fifteen of the students who received counseling dropped out of school, and 23 of the students who did not receive counseling dropped out. Construct a 90% confidence interval for the true difference between the drop-out rates of the two groups. Interpret your answer in the context of the problem.
- A hotel chain claims that the average stay for its business clients is 5 days. One hotel believes that the true stay may actually be fewer than 5 days. A study conducted by the hotel of 100 randomly selected clients yields a mean of 4.55 days with a standard deviation of 3.1 days. What is the probability of getting a finding as extreme, or more extreme than 4.55, if the true mean is really 5 days? That is, what is the P-value of this finding?
- One researcher wants to construct a 99% confidence interval as part of a study. A colleague says such a high level isn't necessary and that a 95% confidence level will suffice. In what ways will these intervals differ?
- A 95% confidence interval for the true difference between the mean ages of male and female statistics teachers is constructed based on a sample of 95 males and 62 females. Consider each of the following intervals that might have been constructed:
- (–4.5, 3.2)
- (2.1, 3.9)
- (–5.2, –1.7)
- Interpret the interval, and
- Describe the conclusion about the difference between the mean ages that might be drawn from the interval.
- A 99% confidence interval for a population mean is to be constructed. A sample of size 20 will be used for the study. Assuming that the population from which the sample is drawn is approximately normal, what is the upper critical value needed to construct the interval?
- A university is worried that it might not have sufficient housing for its students for the next academic year. It's very expensive to build additional housing, so it is operating under the assumption (hypothesis) that the housing it has is sufficient, and it will spend the money to build additional housing only if it is convinced it is necessary (that is, it rejects its hypothesis).
- For the university's assumption, what is the risk involved in making a Type-I error?
- For the university's assumption, what is the risk involved in making a Type-II error?
- A flu vaccine is being tested for effectiveness. Three hundred fifty randomly selected people are given that vaccine and observed to see if they develop the flu during the flu season. At the end of the season, 55 of the 350 did get the flu. Construct and interpret a 95% confidence interval for the true proportion of people who will get the flu despite getting the vaccine.
- A research study gives a 95% confidence interval for the proportion of subjects helped by a new anti-inflammatory drug as (0.56, 0.65).
- Interpret this interval in the context of the problem.
- What is the meaning of "95%" confidence interval as stated in the problem?
- A study was conducted to see if attitudes toward travel have changed over the past year. In the prior year, 25% of American families took at least one vacation away from home. In a random sample of 100 families this year, 29 families took a vacation away from home. What is the P-value of getting a finding this different from expected?
For each of these intervals,
(Note: is computed somewhat differently for a hypothesis test about a population proportion than for constructing a confidence interval to estimate a population proportion. Specifically, for a confidence interval,
and, for a hypothesis test,
where p0 is the hypothesized value of p in H0: p = p0 (p0 = 0.25 in this exercise). We do more with this in the next chapter, but you should use
for this problem.)
Construct a 99% confidence interval for the true difference between the mean score for males and the mean score for females. Does the interval suggest that there is a difference between the true means for males and females?
- Construct a 95% confidence interval for the true mean operating time of this type of pen. Does the company's claim seem justified?
- Describe the steps involved in conducting a hypothesis test, at the 0.05 level of significance, that the true mean differs from 190 hours. Do not actually carry out the complete test, but do state the null and alternative hypotheses.
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