Statistic

LM 6: Practicing data analyses

Answer each question (1 point per question = 5 points total):

· As you proceed, think about why the analysis is appropriate for the particular variables included in that question (hint: think about whether the variable is continuous or categorical).

· If you’re stuck, be sure to reference the data analysis slides and resources from this week’s materials on Cougar Courses.

· Round each number out to two decimal places and use leading zeros (e.g., 0.166 = 0.17). This will give you practice reporting findings in APA style.  

· When “explaining your findings in words” write out the findings as you would in a Results section; do not elaborate on the findings as you would in a Discussion (hint: there are examples in your guidelines for Paper 1!).

· You must work on the assignment on your own to help you learn the material.

· Be sure to follow the outline to facilitate grading (e.g., 1a, 1b, etc). It will be easiest if you write your responses in this Word document and submit the document to the assignment on CCs. 

· Submit your responses when you are finished to on Cougar Courses. 

1. Conduct a chi-square analysis with Gender_2levels and Puberty (note: the variable “Puberty” refers to whether or not the child has reached puberty yet). 

a. What is the chi-square value? 

b. What is the p-value? 

c. Is this significant at p < .05? (Yes or No) 

d. After graphing the association, explain what you see in words (you are not submitting the graph, just using the graph to help you explain what you see). 

2. Conduct a correlation analysis with CloseFriends and TeacherRatingCloseFriends (note: the variable “CloseFriends” refers to the number of friends the participant rated him/herself as having; the “TeacherRatingCloseFriends” refers to the number of friends the teacher rating the participant as having). 

a. What is the correlation coefficient? 

b. What is the p-value? 

c. Is this significant at p < .05? (Yes or No) 

d. Explain the association (or lack thereof) in words. 

3. Conduct a t-test with ParentalEd and Self-esteem. 

a. What is the value of the t statistic? 

b. What is the p-value? 

c. Is this significant at p < .05? (Yes or No) 

d. Explain the difference (or lack thereof) in means in words. In your description, include the Mean and Standard Deviation of scores for each group (College, No college)

4. Conduct an ANOVA with Nutrition (Factor) and IQ (Dependent Variable). 

a. What is the value of the F statistic? 

b. What is the p-value? 

c. Is this significant at p < .05? (Yes or No) 

d. Run a Tukey HSD post-hoc test. What is the p-value between the groups that are significantly different? 

e. Explain the difference (or lack thereof) in means in words. In your description, include the Mean and Standard Deviation of scores for each group (Nutrition groups). 

5. Name one statistical analysis (chi-square, correlation, t-test, or ANOVA) that you anticipate using in your content analysis paper (e.g., the association between gender and variable 2) and describe why this analysis is appropriate.

a. Describe your 3 variables and how they are measured:

b. Name of analysis you anticipate using:

c. Description of why analysis is appropriate: (should mention the variable type(s))