Inference for Quantitative Data: Means unit test
A test on this unit alone, marked as a percentage and a letter grade — for the test your class is actually sitting, rather than for May. Answer everything, then submit once: seeing the answer to question 3 before attempting question 4 makes the final percentage meaningless.
One-sample t-test statistic
Reporting degrees of freedom
Robustness of t procedures
One-sample t statistic
One-sample t-interval
Reading a t-table
How robust t procedures actually are
Two-sample t-interval
Deciding one-sample or two-sample
Confidence interval for a difference of means
One-sided p-value from two-sided output
Interpreting a t-interval for a difference
Short answer 1. Define or explain: Why paired designs need fewer subjects
3 ptsShort answer 2. Define or explain: Standard error of a difference of means
3 ptsShort answer 3. Define or explain: Degrees of freedom, two samples
3 ptsShort answer 4. Define or explain: Paired or two-sample?
3 ptsFree response
5 ptsA physical therapist wants to know whether a six-week stretching program increases flexibility. Twelve patients had their sit-and-reach distance, in centimeters, measured before the program and again after it. For each patient the therapist computed the difference (after − before). The twelve differences had a mean of 4.6 cm and a standard deviation of 3.2 cm. A dotplot of the differences shows no strong skewness and no outliers.
A. Explain why a two-sample t-procedure would not be appropriate for these data, and identify the procedure that is appropriate.
B. Construct a 95 percent confidence interval for the mean difference in sit-and-reach distance.
C. Interpret your interval in context, and explain what it indicates about whether the program increases flexibility.
D. Explain one reason why this study, even with a statistically significant result, does not establish that the stretching program caused the improvement.