28. Probability And Significance AO1 Flashcards

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1
Q

What is done if the if the test is not significant?

A

The null hypothesis is accepted

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2
Q

What is a null hypothesis?

A

States there is no difference or correlation between conditions

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3
Q

What does the statistical test determine

A

Which hypothesis (null or alternative) is true and which to accept/reject

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4
Q

What is probability?

A

A measure of the likelihood that a particular event will occur

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5
Q

What are the nothing of in psychology?

A

There are no certainties but there is a significance level

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6
Q

What is a significance level?

A

The point at which the null is accepted or rejected

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7
Q

What is the usual level of significance?

A

0.05 or 5%

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8
Q

What does a significance of 0.05 mean?

A

Probability that the observed effect occurred by chance is equal or less than 5%

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9
Q

How is statistical significance tested?

A

Comparing calculated value with critical value in a table of critical values based on probabilities

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10
Q

What are the three criteria for finding the correct critical value?

A
  1. Hypothesis one-tailed (directional) or two-tailed (non- directional)
  2. Number (N) of participants or degrees of freedom (df)
  3. Level of significance (p value)
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11
Q

What is a type I error?

A

Null hypothesis rejected and alternative wrongly accepted

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12
Q

What is a type II error?

A

Alternative rejected and null wrongly accepted

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13
Q

What kind of error is a type I error?

A

Optimistic error or false positive as significant difference/correlation was found when it didn’t exist

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14
Q

What kind of error is a type II error?

A

Pessimistic error or false negative

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15
Q

What makes a type I error more likely?

A

If the significance level is too lenient (too high)

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16
Q

What makes a type II error more likely?

A

If the significance level is too stringent (too low) - potentially significant values may be missed