T-Tests Flashcards

1
Q

What are the 2 types of T-tests?

A

Unpaired / independent/ unrelated samples t-tests
Paired / dependent / related samples t-tests

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Are t-tests parametric or non-parametric?

A

Parametric tests
used when data is interval or ratio

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

When receiving results from a t-test, what do you look at?

A

how far apart means are from each other
in the context of the variance of the data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Is there a significant difference if there’s a small mean difference but a large difference?

A

unlikely to have a significant difference

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is the t-test used for a between subjects design?

A

Unpaired / independent / unrelated samples t-test
comparing 2 different groups

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Who created the independent samples t-test?

A

William Gosset

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is the independent samples t-test assumptions?

A
  • data must be continuous (interval or ratio)
  • normally distributed data
  • data must have homogeneity of variance
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

How do we know if we have homogeneity of variance (HoV)?

A

using the Levene’s test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

If the Levene’s test is non-significant (p-value above 0.05), what does that mean for HoV?

A

means we have homogeneity of variance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

If Levene’s test is significant, what does that mean for HoV?

A

means homogeneity of variance is not found and violated

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is the Levene’s test?

A

tests the null hypothesis that the population variances are equal
increases our likelihood of finding a type 1 error (false positive)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What are effect sizes and what is one example of one?

A

effect sizes are how big the difference between the two groups mean are
example = Cohen’s d

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

How are effect sizes interpreted?

A

small = 0.2
medium = 0.5
large = 0.8

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What are confidence intervals?

A

intervals which are expected to contain the parameter being estimated
give 95% CIs as a rule

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What kind of estimate does a narrow confidence interval give?

A

precise estimate

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What kind of estimate does a wide confidence interval give?

A

imprecise estimate

17
Q

What is a Welch test?

A

an alternative to the independent samples t-test
does not assume homogeneity of variance
df in a welch test always has decimals

18
Q

What t-test is used for a within subject design?

A

Paired / dependent / related samples t-test
used when comparing one group at 2 diff times or conditions

19
Q

What is the dependent samples t-test assumptions?

A
  • data must be continuous (interval /ratio)
  • normally distributed