2.9: Inferential Statistics with Null Hypothesis Testing Flashcards

1
Q

Null Hypothesis

A

A statement that assumes there is no effect, difference, or relationship between variables in a study.

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2
Q

What symbol distinguishes the null hypothesis?

A

H0

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3
Q

What does the null hypothesis serve as?

A

The baseline assumption that researchers test against.

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4
Q

Null Hypothesis Significance Testing (NHST) Steps

A
  1. State the null hypothesis
  2. Test your hypothesis about variables against a null model
  3. Express the hypothesis with population parameters
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5
Q

What does the null hypothesis act as?

A

The starting point for research

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6
Q

What is the p value in a null hypothesis?

A

p = 0

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7
Q

What is the p value in the alternative hypothesis?

A

p > 0.05 p<0.05

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8
Q

What is the NHST based on?

A

The probability of a result if the null hypothesis was true

OR

What is the probability of observing a given result in your data given the null hypothesis was true

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9
Q

What does p indicate?

A

Probability

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10
Q

What is the typical probability cut off for confidence?

A

.05

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11
Q

What does the probability cut off indicate?

A

Whether the null hypothesis will be rejected or not

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12
Q

Alpha Criterion

A

The threshold probability used to determine whether to reject the null hypothesis

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13
Q

What does p > .05 mean?

A

There is greater than a 5% chance that no relationship exists in the target population.

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14
Q

What must we do when p > .05?

A

Fail to reject the null hypothesis

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15
Q

What must we do when p < .05?

A

Reject the null hypothesis and accept the alternative hypothesis

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16
Q

What is the common starting point in psychological science?

17
Q

Type 1 Error

A

Rejecting the null hypothesis when the null hypothesis is true.

18
Q

Type 2 Error

A

Accepting the null hypothesis when the null hypothesis is false.

19
Q

What are the two types of statistical inference errors?

A
  1. Type 1 error
  2. Typer 2 error
20
Q

What is the formula for type 1 error?

21
Q

What is the formula for type 2 error?

22
Q

What is the formula for correctly accepting the null hypothesis?

23
Q

What is the formula for correctly rejecting the null hypothesis?