Week 3 Flashcards

1
Q

What is a t-statistical test?

A

Statistical method to decide whether an observed difference in sample scores represents a “real” difference in the population…. vs. just sampling error

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2
Q

How many groups are in a t-test?

A

2 groups

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3
Q

2 groups is another way of saying…?

A

2 levels of 1 IV

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4
Q

What does a t-test do?

A

Finds the difference between group means divided by the variability within the groups( standard error of the mean difference)

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5
Q

The error in a standard error refers to…?

A

All sources of variability within a set of data

that cannot be explained by the independent variable.

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6
Q

A within group variability with no variability is known as being ___ ?

A

A within group variability with no variability is known as being definitely different ?

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7
Q

A within group variability with little bit of variability is known as ___ ?

A

A within group variability with little bit of variability is known as probably different

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8
Q

A within group variability with larger amounts of variability is known as ___

A

A within group variability with larger amounts of variability is known as maybe not different

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9
Q

When the variability between groups are not necessarily the same, it is called…?

A

When the variability between groups are not necessarily the same, it is called a differing variance

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10
Q

What is a parametric statistics?

A

A branch of statistics which assumes that sample data comes from a population that follows a probability distribution based on a fixed set of parameters.

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11
Q

What are some examples of a parametric statistics?

A
  • t-Tests
  • ANOVA
  • ANCOVA
  • Regression
  • Correlation
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12
Q

What are the basic assumptions for all parametric test?

A
  • Samples are randomly drawn from populations
  • Population is normally distributed
  • Homogeneity of variance (roughly)
  • Data from ratio or interval (i.e. continuous) scales
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13
Q

What rarely happens, but one still needs to be careful with when samples are randomly drawn from populations?

A

Generalization

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14
Q

What are the ways to test if the population is normally distributed?

A
  • Statistically
  • Graphically
  • Common sense
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15
Q

When is the homogeneity of variance especially important?

A

With unequal group sizes

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16
Q

How is the homogeneity of variance tested?

A

Statistically

17
Q

What statistical test is used for the t-test?

A

Levene’s test

18
Q

What are the statistical hypotheses for the null hypothesis for a two-level design?

A
  • The two population means are equal
  • The hypothesis can be in a nondirectional format (not equal)
  • Directional format (one is greater than the other)
19
Q

A two-tailed test uses a ___ hypothesis

A

A two-tailed test uses a nondirectional hypothesis

20
Q

A one-tailed test uses a ___ hypothesis

A

A one-tailed test uses a directional hypothesis

21
Q

A two tailed test has ___ statistical power compared to the one tailed test

A

A two tailed test has less statistical power compared to the one tailed test

22
Q

What are the two types of t-test?

A
  • Independent/unpaired t-test

- Paired t-test

23
Q

What happens in an unpaired(independent) t-test?

A

Testing to see if there is a difference between 2 groups

24
Q

What kind of design is found in an unpaired t-test?

A
  • Pretest-posttest design (compare change scores)

- Posttest only design

25
Q

What happens in a paired(dependent) t-test?

A

Testing to see if there is a difference between conditions in the same person

26
Q

What kind of design is found in a paired t-test?

A
  • Difference scores or pretest-posttest

- Repeated measures design

27
Q

A repeated measures factor is an example of a ___

A

A repeated measures factor is an example of a within-subjects factor

28
Q

A non-repeated measures factor is an example of a ____ factor

A

A non-repeated measures factor is an example of a between-subjects factor