L3 - One sample and Independent T-Test

Question 1

When do you use a a one sample t-test?

Answer 1

When data is collected for one variable for a single population.
No comparisons between groups

Question 2

What assumptions need to be in place in order to carry out a one sample t-test?

Answer 2

Continuous measurement of the test variable
Independent data points
Approx. normal distribution
No significant outliers

Question 3

How do you calculate a one sample t-test?

Answer 3

mean - hypothetical mean / standard error

Question 4

What is H0 for one-sample t-tests?

Answer 4

Population mean = specified mean

Question 5

What is H1 for one sample t-tests?

Answer 5

Population mean differs from the specified mean

Question 6

When do you use an independent samples t-test?

Answer 6

Comparing 2 independent groups
Each ppt provides 1 data point for 1 group

Question 7

What are the pros of independent samples t-tests?

Answer 7

Avoids order effects
Simple to construct + control

Question 8

What are the cons of independent samples t-tests?

Answer 8

Larger sample sizes needed
Ppts differences may affect results

Question 9

What assumptions need to be in place to carry out an independent samples t-test?

Answer 9

Independent groups
Continuous DV
Approx normal distribution
No significant outliers
Equal variance in each group (tested with Levene’s Test)

Question 10

How to calculate independent samples t-tests?

Answer 10

mean - hypothetical means / standard error of the difference between means

Question 11

What is H0 for independent samples t-tests?

Answer 11

No differences between groups (IV doesn’t affect DV)

Question 12

What’s H1 for independent samples t-tests?

Answer 12

Differences exist in DV due to IV