Answer the questions below concerning the data: a) Construct your own simple frequency distribution table below. Be formal — include a table number a title and column headings as recommended by APA
b) Enter the original data (not the frequency distribution) in SPSS; c) Follow the instructions (first 4 steps) on page 53 (7th ed.), page 54 (8th ed.). d) When you get to step 4, click on histogram, and then click on normal curve (below histogram). e) Continue on to steps 5 and 6.

I) Print (or alternately sketch) the resulting graph; attach to this assignment sheet and submit. g) Based on the frequency distribution and the graph – Answer the following question: Does the dataset seem symmetrical (normal), negatively skewed, positively skewed, other? Answer:
2. Similar to Text, Ch. 7, 7th ed., p. 199 — question 20a. (Same question, 8th ed., p. 202, Question 21a.) Dr. Oz did a study on the average age of licensed drivers. He first obtained information on the population in U.S., finding that the population of ages is normally distributed with an average age of 40.3 and SD = 13.2.
Dr. Oz then went on to get the ages of a sample of drivers in New York City. In that sample, the average age was 38.9, n was 16. Please answer the questions below. (Show your work.)
a) – z score for sample mean when M = 38.9, n = 16; (use the population info given in the question)
3. Text, 8th edition, Ch. 7 p. 202, question 22; data provided below:
Self-Reported Level of Pain Mean SE Tai Chi course 3.7 1.2 No course 7.6 1.7
a. Please put the data on a bar graph in the space below. Include both the means and the SE’s. Use the format on p. 190 (7th ed. of the text) or p. 193 (8th ed. of the text). Label the graph in a formal manner. (Include Figure Number, Title, Axis Headings).

b) Based on the graph you created, do you think participation in a Tai Chi course reduces arthritis pain (yes/no)?
4. Text, Ch 8 – 7th edition, question 2, p. 243 (Will z test be larger or smaller in each instance below? Hint – picture the formula and how the numbers would change in each instance.). In 8th edition, same question is question 1, p. 241
a. larger difference between sample and population mean ; z test is b. larger population SD; z test is c. larger n; z test is 5. Text, Ch 8 – 7th edition, variation on question 20, p. 246 (With each change, will we be more or less likely to get a significant difference between sample mean and comparison or population mean?); 8th edition, variation on question 19, p. 243-4. a. increasing alpha from .01 to .05; power (likelihood of significance) becomes (less; more)? b. changing from a 2-tailed to a 1-tailed test; power (likelihood of significance) becomes (less; more) ? c. increasing the size of the sample; power (likelihood of significance) becomes (less; more)?
PART II. (Please submit to me.) Text, between Ch. 8 & 9; 7th edition, p. 248 The data come from problems 3 and 3a (comparing overweight students to the population).
Brunt, Rhee and Zhong (2008) surveyed 557 undergraduates. Using Body Mass Indices, they classified the students into 4 categories: underweight, healthy weight, overweight, and obese. They also measured dietary variety by counting number of different foods each student ate from several food groups. The researchers were surprised that the results showed no differences among the 4 BMI groups with relation to number of fatty and/or sugary snacks consumed.
Suppose a researcher (you?) conducting a follow up study obtained a sample of 36 students classified as overweight Each student completed the food

PART II. ) Text, between Ch. 8 & 9; 7th edition, p. 248 The data come from problems 3 and 3a (comparing overweight students to the population).
Brunt, Rhee and Zhong (2008) surveyed 557 undergraduates. Using Body Mass Indices, they classified the students into 4 categories: underweight, healthy weight, overweight, and obese. They also measured dietary variety by counting number of different foods each student ate from several food groups. The researchers were surprised that the results showed no differences among the 4 BMI groups with relation to number of fatty and/or sugary snacks consumed.
Suppose a researcher (you?) conducting a follow up study obtained a sample of 36 students classified as overweight. Each student completed the food variety questionnaire, and this overweight group reported a M of 4.48 fatty, sugary snacks consumed. The results from the earlier Brunt, Rhee, and Zhong study showed an overall mean score of p = 4.22 in this food category. Assume that the scores in the Brunt et al. study were normally distributed with a standard deviation of ct = 0.60.
Find out if there was a significant difference between the snacking behavior in the new overweight sample (n = 36) and the behavior of the overweight participants in Brunt et al. (Treat the Brunt et al. data as a population.) Do a z test. Show your calculations below. (Use a 2-tailed test with alpha = .05). Then calculate Cohen’s d. Then write a conclusion sentence for the z test, telling the reader if the difference was significant and concluding with z = , p , Cohen’s d =
Standard error =
z test =
Critical region and decision rules- z is significant (.05) if z is z is significant (.01) if z is Conclusion = was the z test significant? If the z test is significant, is it significant at the .05 level or the .01 level? Cohen’s d (show your work) is

The magnitude of Cohen’s d is (small, medium, large)
Conclusion Sentence =
Part Ill: Gravetter and Wallnau (text): (Part Ill should be done on your own. Please check your own answers — Appendix C in text — or given below)