1-) From the following data chart:

ANOVA

Time

	Sum of Squares.	df	Mean Square	F	Sig.
Between Groups Within Groups Total	91.457 276.400 367.867	2 27 29	45.733 10.237	4.467	.021

Answer the questions:

A-) P<0.05

B-) P>0.05

C-) P=0.05

D-) P<0.1

2-) You conducted an ANOVA and get the following chart:

ANOVA

Time

	Sum of Squares.	df	Mean Square	F	Sig.
Between Groups Within Groups Total	91.457 276.400 367.867	2 27 29	45.733 10.237	4.467	.021

True or False: You can reject the hypothesis?

A-) True.

B-) False.

3-) What is the null hypothesis of an ANOVA?

4-)

ANOVA

Time

	Sum of Squares.	df	Mean Square	F	Sig.
Between Groups Within Groups Total	91.457 276.400 367.867	2 27 29	45.733 10.237	4.467	.021

The F statistic in this ANOVA example is: ________________.

6-) Which of the following would be an example of a logistic regression?

A-) A researcher is examining the relationship between receiving the COVID-19 vaccine and age. The researcher asks, "Did you get the COVID-19 shot? Yes or No."

B-) A researcher is examining the relationship between age and BMI. The researcher asks, "What is your age?"

C-) A researcher is examining the correlation between getting a bachelor's degree and salary. The researcher asks, "What is your annual salary?"

D-) A researcher is examining the relationship between the amount of daily water intake and number of absences from work. The researcher asks, "How many days of work did you miss this year?"

7-) Match the correlation coefficients below with the correct description

___ 79. A. Strong, Negative Correlation.

___ 29. B. Weak, Negative Correlation.

___ 83. C. Weak, Positive Correlation.

___ 36. D. No Correlation.

___ 00. E. Strong, Positive Correlation.

10-) A researcher is running a linear regression on how number of days off per year impacts job satisfaction.

There are 2 variables in this regression: Days off and Job Satisfaction.

Which one is the dependent variable?

A-) Job Satisfaction.

B-) Days off.

C-) They are both dependent variables.

D-) Neither is the dependent variable.

11-) A researcher is running a linear regression on how number of days off per year impacts job satisfaction.

Which of the following need to be true in order for the researcher to run this regression? Select all that apply.

A-) The data needs to be normal OR have a very large sample size.

B-) The data needs to have collinearity.

C-) The data needs to have a straight line relationship.

D-) The data needs to be randomly sampled.

12-) There are 3 test of significance that can be used on non-parametric (or non-normal) data. They are ________________, ___________________, and ____________________.

13-) Which of the following test describes collinearity?

A-) When you run a logistic regression and one of your variables is dichotomous.

B-) When you run a multiple regression and more than one of your independent variables are highly correlated with each other.

C-) When you run an ANOVA with multiples variables and they all are statistically significant.

D-) When you run a correlation and find that two or more variables have a strong relationship.

14-) The Chi-Square test measures for significant differences between medians of groups.

A-) True.

B-) False.

15-) When we want to test if there is a difference between three of more normally distributed groups (or means), we would use _____________.

When we want to test if there is a difference between two normally distributed groups (or means), we would use _____________.

16-) A researcher is using Z scores in data analysis to estimate probability.

Which of the following could we assume about the dataset?

A-) The dataset is normally distributed.

B-) The dataset contains ordinal data.

C-) The dataset has equal groups.

D-) The dataset is non-parametric (or not normally distributed).

17-) A dataset consists of nominal data and cannot be normally distributed. If we want to run a statistical test on this type of data we would have to use ____________.

18-) A researcher is studying to see if there is a difference between age groups and amount of money spent on makeup. The researcher uses three groups of 20 people each. The groups are divided by age group: young, middle-aged, and old. When the researcher plots the three groups, they are all relatively normal in distribution.

Questions:

A-) What is the N value of this study?

B-) How many groups are in the study?

C-) What type of data is used in this study (Interval, Nominal, or Ordinal).?

D-) What is the research question for this study?

E-) What statistical test would you use for this study?

19-) A researcher is studying to see what type of relationship exists between age and number of minutes an individual can run on a treadmill. They get the following chart:

Age	# of Minutes on Treadmill
32	35
29	47
16	50
66	15
43	20
31	29
88	8
32	30
21	29

Questions:

A-) What is the N value of the study?

B-) What is the mean age of this study?

C-) What is the range of the # of minutes on the treadmill?

D-) What is the mode of the # of minutes on the treadmill?

E-) Describe the relationship between the 2 variables?

20-) Which of the following is NOT a benefit of using a non-parametric test of significance?

A-) You can test data sets that are ordinal and nominal.

B-) You can test data sets with small number of cases.

C-) You can test highly skewed datasets.

D-) You can test data using means.

21-) We are studying attachment styles and decide to use the following system:

A-) Secure Attachment=1

B-) Avoidant Attachment=2

C-) Disorganized Attachment=3

D-) Anxious Attachment=4

This is an example of _____________.

22-) In your own words, describe the difference between a correlation and a regression.