Flashcards in Correlations Deck (15):

1

## What does correlation mean?

### A measure of how strongly two or more variables are related to each other.

2

## What is a positive correlation?

### High values of one variable are associated with high values of the other. Or, if you like, the variables increase together.

3

## What is a negative correlation?

### High values of one variable are associated with low values of the other. Or, if you like, as one variable increases, the other decreases.

4

## What is the similarity between positive and negative correlations?

### Both still indicate that some kind of relationship exists, rather than indicate that there is no relationship.

5

## What is it called when there is no correlation between two variables?

### No correlation

6

## What is it called when variables increase together?

### Positive correlation

7

## What is it called when the high values of one variable are associated with the high values of the other variable?

### Positive correlation

8

## What is it called when as one variable increases, the other decreases?

### Negative correlation

9

## What is it called when high values of one variable are associated with the low values of another variable?

### Negative correlation

10

## What is a correlational hypothesis NOT?

### A difference, or cause and effect

11

##
The following statement is an example of what?

"There will be a significant positive correlation between the average number of hours of violent television watched and teacher ratings of aggressive play in children."

### Example of an appropriate alternative hypothesis with a correlation

12

##
The following statement is an example of what?

"There will be no significant correlation between the average number of hours of violent television watched and teacher ratings of aggressive play in children."

### Example of an appropriate null hypothesis

13

## What must a well-drawn scattergraph include?

###
- Fully descriptive title

- Two labelled axis

14

## Give a strength of correlational analysis.

###
- Good for showing possible relationships between variables

- Researchers may use it as a starting point in their research, and if a relationship between variables is found then they can investigate further, perhaps using the experiment to investigate if there is a causal relationship

15