1. You have collected Body Mass Index (BMI) Scores from a sample of 10 women. Below is a list of the BMI scores for each individual. Based on the data below calculate the mean and median BMI of your sample:

19

22

23

24

24

25

26

28

30

35

Group of answer choices

a)Mean: 25.6; Median: 24.5

b)Mean: 28.5; Median: 24

c)Mean: 24.5; Median: 25.6

d)Mean: 24; Median: 28.5

2. Here we have the contingency table with data from a survey. Setting alpha at 0.05, test the null hypothesis that there is no association between smoking and having lung cancer. Use thechi-square test, show the method used to test the hypothesis, and provide evidence for your answer

	Having lung cancer	Total
Smoking status	No	Yes
Smoking	173	172	345
Not smoking	346	90	436
total	519	262

3. You have collected Body Mass Index (BMI) Scores from a sample of 10 women. Below is a list of the BMI scores for each individual. BUT NOW based on the data below calculate the range of your sample

19

22

23

24

24

25

26

28

30

35

Group of answer choices

1. Range: 16
2. Range: 23
3. Range: 19
4. Range: 10

4. You have collected data on number of cigarettes smoked per day from a sample of youth who smoke and now want to compare differences in number of cigarettes smoked per day for boys and girls. Below are the mean and standard deviations for boys and girls:

Boys: Mean=5.3; SD=1.6

Girls: Mean=5.3; SD=.5

Which of the following statements based on the above best represents the smoking behavior of girls compared to boys:

Group of answer choices

a)On average girls and boys smoke the same number of cigarettes a day; the differences the in standard deviations are not important because the means are the same.

b)On average girls and boys smoke the same number of cigarettes a day, but there is more dispersion (i.e. heterogeneity in the standard deviation) in the smoking habits of boys than girls

c)On average girls and boys smoke the same number of cigarettes a day, but there is less dispersion (i.e. homogeneity in the standard deviation) in the smoking habits of boys than girl

5. You are interested in understanding how eating habits and exercise are correlated with Body Mass Index (BMI). As a first step in the data analysis project, you describe your data by examining correlations. Your outcome/dependent variable is BMI and three key independent variables are 1) # of fresh fruits and veggies eaten a day, 2) # of minutes spent exercising a day, and 3) # of sugary foods eaten per day. Below is the correlation table you develop:

Table 1. Correlations of Health Habit Indicators and BMI
Health Habit Indicators	BMI
# Fruits and veggies eaten per day	-0.54***
# of Minutes exercise per day	-0.35***
# of sugary foods eaten per day	0.68***

Based on the correlations noted above, which health habit indicators ismore strongly related to BMI?

Group of answer choices

You cannot assess the relative strength of these measures because they are measured in different units (i.e. a)# fruits eaten vs. minutes)

b)# of Minutes exercise per day

c)# Fruits and veggies eaten per day

d)# of sugary foods eaten per day

6. True/False: If you have a categorical outcome/dependent variable you should use logistic regression instead of linear regression because logistic regression is non-parametric and does not require a normal distribution.

Group of answer choices

a)True

b)False

7. The table below reports the odds ratios from a logistic regression that examines the association between mental health supports (independent variables) and the risk for anxiety (outcome/dependent variable) among a sample of Latino immigrant youth.

Table 2. Adjusted Odds of Risk for Anxiety among Latino Immigrant Youth
	OR	(95% CI)
Mental Health Supports
Familism (range: 1-5)	0.75	(0.42	1.37)
Teacher support (range: 0-11)	1.04	(0.82	1.31)
Years in the U.S. (range: 0-17)	0.90	(0.83	0.98)
Aspires to some college or more (Optimism)	0.73	(0.34	1.59)
N	255
p<.10, * p<.05, **p<.01, ***p<.001

Based on the table interpret theodd ratio (OR) result for Years in the U.S.:

Group of answer choices

a)For each additional year in the U.S. Latino youth have a lower odds of experiencing anxiety all else being equal (i.e. ceterus paribus/controlling for all other variables in the model).

b)Years in the U.S. is not associated with Latino youth's risk for anxiety

c)For each additional year in the U.S. Latino youth have a higher odds of experiencing anxiety all else being equal (i.e. ceterus paribus/controlling for all other variables in the model

8. Based on the same Table (Table 2) is the association between years in the U.S. and the risk for anxiety statistically significant and why? Select the best statement:

Table 2. Adjusted Odds of Risk for Anxiety among Latino Immigrant Youth
	OR	(95% CI)
Mental Health Supports
Familism (range: 1-5)	0.75	(0.42	1.37)
Teacher support (range: 0-11)	1.04	(0.82	1.31)
Years in the U.S. (range: 0-17)	0.90	(0.83	0.98)
Aspires to some college or more (Optimism)	0.73	(0.34	1.59)
N	255
p<.10, * p<.05, **p<.01, ***p<.001

Group of answer choices

a)Yes years in the U.S. is statistically significant because the 95% confidence interval for the odds ratio is below 1 (i.e. excludes the value of 1).

b)P-values are not reported, so statistical significance cannot be assessed.

c)Yes years in the U.S. is statistically significant because the Odds Ratio (OR=.90) falls between the 95% confidence interval values (i.e. is between .83 and .98).

d)No years in the U.S. is NOT statistically significant because the 95% confidence interval for the odds ratio includes the value of 1.

9. Using the following unstandardized regression equation, predict the reading test scores for a 15-year old female. In the equation female is a dummy variable where 1=female, 0=male:

Y= 70+ 6 (Female) + 1.1 (Age) + error

a)86.5

b)90.0

c)92.5

d)71

10. The table below reports the coefficients fom a regression analysis that examines the association between Health Habit Indicators (your Independent variables) and BMI (outcome/dependent variable).

Table 3. Regression of Health Habit Indicators and BMI
Health Habit Indicators	b
# Fruits and veggies eaten per day	-1.5(.96)***
# of Minutes exercise per day	-0.78(.36)***
# of sugary foods eaten per day	2.5(1.01

p<.10, * p<.05, **p<.01, ***p<.001

Group of answer choices

a)For each additional fruit and vegetable eaten BMI decreases by 1.5 units holding all else constant; the result is NOT statistically significant

b)For each additional fruit and vegetable eaten BMI decreases by 1.5 units holding all else constant; the result is statistically significant.

c)The BMI of Individuals who eat fruit and vegetables is 1.5 units lower than individuals who do not eat fruits and vegetables; the result is statistically significant