Question 1.

What is the key difference between one-way ANOVA and a T-test?

1. They are the same test just with different calculations
2. ANOVA is about the mean and t-test is about the variance
3. You can have more than 2 groups in ANOVA
4. T-test split variance into within and between

Question 2

The ANOVA uses the ~~

1. P-test
2. T-test
3. F-test
4. R-test

Question 3

The factorial ANOVA is used when you have

1. One independent variable
2. Two dependent variables
3. Two or more dependent variables
4. More than one independent variable

Question 4

Correlation coefficients examine?

1. The relationship between variables
2. Differences between two groups
3. Differences between two or more groups
4. How variables can be arranged into higher-order factors

Question 5

If variables change in the opposite direction, what type of correlation is this called?

1. Positive correlation
2. Positive causation
3. Negative causation
4. Negative correlation

Question 6

What would you use to visually represent a correlation?

2. Histogram
3. Scatterplot
4. Line graph
5. Bar chart

Question 7

What statistical technique is used to make predictions of future outcomes based on present data?

1. Linear regression
2. ANOVA
3. Z-test
4. Correlational analysis

Question 8

The best fitting straight line drawn through the center of a scatterplot is the

1. Regression line
2. Regression coefficient
3. Pearson coefficient
4. Coefficient of determination

Question 9

What is the correct explanation for nonparametric statistics?

1. Nonparametric statistics doesn't assume anything about population parameters.
2. Chi-square tests cannot be applied if parametric conditions of validity are not met.
3. T-test is one of the non-parametric statistics tests.
4. the non-parametric statistics deal with large samples enough to represent the entire population

Question 10

If two variables are significantly correlated, this means that one variable causes the other.

1. True
2. False