Exam 2 (Chapters 8-9, 12) Flashcards

1
Q

What are the two types of statistics?

A

Descriptive and inferential.

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2
Q

What do inferential statistics give us?

A

The ability to make generalizations about population.

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3
Q

What are the THREE measures of central tendency?

A

Mode, median, and mean.

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4
Q

What are outliers?

A

Extremely different scores.

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5
Q

What does a Chi squared statistic test?

A

Nominal data.

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6
Q

What does ANOVA stand for?

A

Analysis of variance.

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7
Q

How many groups is ANOVA used for?

A

More than 2 groups.

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8
Q

What are the TWO ANOVA measures of variance?

A

Systematic and error.

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9
Q

What is systematic variance?

A

The comparison of the means of different groups to the overall mean of your sample.

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10
Q

What is error variance?

A

Looking at individuals and comparing their scores to the group they’re in.

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11
Q

What is the mode?

A

The most frequent number.

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12
Q

What is the median?

A

The middle number when the data is placed in ascending order.

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13
Q

What is the mean?

A

The average.

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14
Q

In correlations, the _________ is the strength and the __________ tells you the direction.

A

number; sign.

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15
Q

In normal distribution, where do most of the scores lie?

A

In the middle.

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16
Q

List the parts of an APA research paper in order:

A

Title page, abstract, introduction, method, results, discussion, and references.

17
Q

In an APA paper, the titles should be in __________.

A

bold

18
Q

What is probability?

A

The likelihood of rejecting a null when it is true.

19
Q

What is the most commonly used probability/alpha level?

A

0.05%

20
Q

What is effect size?

A

Magnitude of the effect of the I.V.

21
Q

If the probability is ___________ 0.05%, you should _________ the null.

A

less than; reject

22
Q

If the probability is _________ 0.05%, you should ____________ the null.

A

more than; accept

23
Q

What does a null hypothesis indicate?

A

No effect or difference in results.

24
Q

what does a research hypothesis indicate?

A

Difference or effect in results.

25
Q

What is a Type 1 Error?

A

Rejecting a null hypothesis when it is true.

26
Q

How do you avoid a Type 1 Error?

A

Lowering the alpha value.

27
Q

What is a Type 2 Error?

A

Accepting a false null hypothesis.

28
Q

How do you avoid a Type 2 Error?

A

Using a bigger sample.

29
Q

What is a T-Test used to measure?

A

2 groups.

30
Q

What is the “p value”?

A

Significance level.