PSYA4-stats Flashcards

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1
Q

Start will an alternative hypothesis-

A

Null hypothesis states that the results will not be significant. We have to accept that the null hypothesis is true until we can prove otherwise.

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2
Q

P value/level

A

Level of probability/significant

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3
Q

Type 1 error-

A

P value too Lenient/ too high.

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4
Q

Type 2

A

P value too strict/ too low

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5
Q

Interval-

A

Continuous data- equal level of measurements

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6
Q

Ordinal-

A

Data can put into order

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7
Q

Nominal-

A

Data in categories.

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8
Q

Test statistics-

A

Observe value.

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9
Q

Critical value-

A

Number you get after working out the calculations.

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10
Q

Descriptive-

A

Describe our data through graphs.

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11
Q

Inferential-

A

Describe our data through stats.

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12
Q

P-levels-

A

P

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13
Q

Significant?

A

If our test is significant, we can reject our null hypothesis and accept our alternative/experimental hypothesis.

If our test is not significant we can accept our null hypothesis and reject our alternative/experimental hypothesis

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14
Q

Type 1 errors can be made when you reject a null hypothesis that is TRUE-

if the significant level is too high/lenient.

A

Type 2 errors occur when you accept the null hypothesis and that is false

If the significant level is too low/strict

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15
Q

Justifying your choice-

Spearmans- hypothesis predicted is correlational- so test of correlation is needed- data is ordinal.

A

Chi-squared- data is put into categories- nominal data and IG design.

Mann Whitney- hypothesis predicts a difference between groups. IG- ordinal.

Wilcoxon- hypothesis predicts that they’ll be a difference between two conditions, RP

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16
Q

Spearmans- Rho

Mann Whitney- U

Chi-squared- X2

Wilcoxon- T

A

After calculating the statistics that we end up with- is assigned a different name by the test we have used.