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Understanding Correlations

Total questions: 8

Worksheet time: 4mins

Name
Class
Date
1.

Correlation illustrates:

a)

the relationship between two variables

b)

the cause of an event

c)

the outcome of an experiment

d)

the process of data collection

2.

Which of the following is an example of a positive correlation?

a)

More caffeine consumption leads to higher anxiety levels.

b)

More caffeine consumption leads to less sleep.

c)

More caffeine consumption leads to seeing more dogs.

3.

In an experiment, the researcher controls or manipulates:

a)

the dependent variable

b)

the independent variable

c)

the control group

d)

the sample size

4.

True or False: In a correlation, it is possible to establish cause and effect between variables.

a)

True

b)

False

5.

One strength of using correlations in research is:

a)

It allows for the determination of cause and effect.

b)

It can identify relationships between variables.

c)

It provides qualitative data.

d)

It eliminates all confounding variables.

6.

Correlations are considered a useful preliminary tool for research because:

a)

they provide definitive proof of causation.

b)

they help identify relationships between variables.

c)

they are always accurate and reliable.

d)

they eliminate the need for further research.

7.

A limitation of correlations in research is:

a)

They can establish causation.

b)

They are always reliable.

c)

They can only show relationships, not causation.

d)

They require large sample sizes.

8.

Correlations can demonstrate cause and effect between variables.

a)

True

b)

False