CHAPTER 1
CHAPTER 21
1. What three items are needed in order to construct a confidence interval to estimate the mean of a population?
2. The formula for a confidence interval for the population mean is based on the rule for sample means, which has assumptions that need to be met. What are those assumptions? (Hint: there are different assumptions depending on whether or not the population is bell-shaped.)
Narrative: Quiz times
The introductory biology class at a large university is taught to hundreds of students each semester. For planning purposes, the instructor wants to find out the average amount of time that students would use to take the first quiz, if they could have as long as necessary to take it. She takes a random sample of 100 students from this population and finds that their average time for taking the quiz is 24 minutes, and the standard deviation is 16 minutes.
3. {Quiz times narrative} Find a 95% confidence interval for the average time to take this quiz for the whole population of students who take the class.
4. {Quiz times narrative} Suppose the professor expects the average time to take the exam is 18 minutes. Do you have enough evidence to say that the professor is wrong in her estimation of the average time to take this quiz? Use statistics to justify your answer.
5. Which of the following statements is not true regarding a 95% confidence interval for the mean of a population?
a. In 95% of all samples, the sample mean will fall within 2 standard errors of the true population mean.
b. 95% of the population values will lie within 2 standard errors of the sample mean.
c. In 95% of all samples, the true population mean will be within 2 standard errors of the sample mean.
d. If you add and subtract two standard errors to/from the sample mean, in 95% of all cases you will have captured the true population mean.
Narrative: Male weight loss
Suppose a 95% confidence interval for the average amount of weight loss on a diet program for males is between 13.4 and 18.3 pounds. These results were based on a sample of 42 male participants who were deemed to be overweight at the start of the 4-month study.
6. {Male weight loss narrative} What is the sample mean?
a. 2.45
b. 13.4
c. 15.85
d. 18.3
7. {Male weight loss narrative} What is the margin of error?
a. 4.9
b. 2.45
c. 1.225
d. None of the above
8. {Male weight loss narrative} What is the standard error of the sample mean?
a. 4.9
b. 2.45
c. 1.225
d. None of the above
9. {Male weight loss narrative} Suppose an individual from this population wants to join this diet program, and wants to know how much weight he can expect to lose. What can you say, given the results above?
a. He should expect to lose about ‘up to’ about 18.3 pounds.
b. He should expect to lose ‘up to’ about 31.7 pounds.
c. He should expect to lose about 15.85 pounds.
d. He should expect to lose between 13.4 and 18.3 pounds.
10. You are taking a class with a large number of students. The professor notes that the midterm exam scores were bell-shaped but doesn’t tell you the mean. You take a random sample of 10 students and construct a 95% confidence interval for the mean exam score. Now the professor wants to give everyone 5 extra points on the exam. How will your confidence interval change?
a. The sample mean will increase by 5 points and the margin of error will also.
b. The sample mean will increase by 5 points but the margin of error will stay the same.
c. The sample mean will stay the same but the margin of error will increase by 5 points.
d. Both the sample mean and the margin of error will remain unchanged.
11. The standard deviation of all possible sample means (from same sized samples) is called the _______________ of the mean.
12. In practice the population standard deviation, which appears in the formula for the standard error of the mean, is not known. Statisticians replace it with the _______________, computed from the data.
confidence intervals for the difference between two means
13. Describe a general scenario where you would use a confidence interval for the difference between two means.
14. How should you collect your data in order to use it in a confidence interval for the difference of two means?
Narrative: Cell phone use
How do men and women compare when it comes to talking on the cell phone? Suppose you take a random sample of 100 male cell phone owners and a random sample of 100 female cell phone owners. The average number of minutes for the women per month was 280 with a standard deviation of 10; the average number of minutes for the men per month was 190 with a standard deviation of 30.
15. {Cell phone use narrative} Based on these sample results, what is the difference in average time spent on the cell phone for females versus males?
16. {Cell phone use narrative} Suppose the women had only talked for 195 minutes per month, on average, and all the other statistics remained the same. Find the lower and upper limits for the resulting confidence interval (females – males), and interpret the results. Who’s talking now?
17. Which of the following is the correct way to calculate the standard error of the difference between two (independent) means? Let SEM1 represent the standard error of the first mean, and let SEM2 represent the standard error of the second mean.
a. SEM1 + SEM2
b. SEM1 − SEM2.
c. The square root of (SEM1)2 + (SEM2)2.
d. The square root of (SEM1)2 − (SEM2)2.
Narrative: Classes 1 and 2
Suppose a 95% confidence interval for the difference in test scores between Class 1 and Class 2 (in that order) is the following: 9 +/− 2. These results were based on independent samples of size 100 from each class.
18. {Classes 1 and 2 narrative} What can you conclude?
a. You are confident that the averages for Class 1 and Class 2 are significantly different.
b. You are confident that the average for Class 1 was 7 to 11 points higher than for Class 2.
c. You are confident that the observed difference found in the two samples (plus or minus the margin of error) will carry over to their respective populations.
d. All of the above.
19. What does it mean for a confidence interval for the difference of two means to contain zero?
a. You are unable to say there is a difference in the population means.
b. Different samples could give results in either direction; completely above zero, completely below zero, or containing zero.
c. The confidence interval will contain some negative numbers and some positive numbers.
d. All of the above.
20. You can determine confidence intervals for individual means or for the difference in two means (for large, independent samples) as long as you are given these three things: the means, the standard deviations, and the __________.
21. You can determine confidence intervals for individual means or for the difference in two means (for large, independent samples) as long as you are given these two things: the means and the __________.
22. Are all confidence intervals (whether they be for population means, proportions, or anything else) symmetric around their respective sample values? Explain.
23. Suppose you want to calculate a confidence interval to estimate the population mean. What happens if you want to be more than 95% confident in your results but you can’t take another sample? (Assume data quality is not an issue.)
a. You need a larger confidence level than 95%.
b. You need to use a multiplier that is larger than 2 to create your margin of error.
c. You will have to live with a wider confidence interval.
d. All of the above.
24. For a 95% confidence interval, the value of 95% is called the _______________.
25. A confidence level is a measure of how much confidence we have that the __________ we used to generate the interval worked.
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- calculating standard deviation worksheet
- margin of error calculation radford
- means one sample how far is our sample mean from the
- use spss to compute the mean median standard deviation
- the generic inverse variance method
- thursday january 13 chapter 7 review
- standard error stanford university
- ap biology lawndale hs home
Related searches
- genesis chapter 1 questions and answers
- biology 101 chapter 1 quiz
- chapter 1 psychology test answers
- strategic management chapter 1 quiz
- psychology chapter 1 questions and answers
- cooper heron heward chapter 1 powerpoint
- chapter 1 psychology quiz
- chapter 1 what is psychology
- chapter 1 cooper heron heward
- medical terminology chapter 1 quiz
- holt physics chapter 1 test
- dod fmr volume 2a chapter 1 definitions