Statistical Principals WEEK 2 Flashcards

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1
Q

Allow researchers to summarise data in a readily understandable form

A

Descriptive statistics

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2
Q

Shows how frequently participants received each of the many possible scores

A

Frequency distribution

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3
Q

Index of the way a typical participant responded

A

Measure of Central tendancy

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4
Q

Measures of Central Tendancy

A

Mean, mode, median

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5
Q

Average

A

Mean

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6
Q

Most common score

A

mode

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7
Q

The score that falls in the middle

A

median

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8
Q

The extent to which results differ

A

Variability

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9
Q

Describes how much the average participant deviates from the MEAN (average)

A

Standard Deviation

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10
Q

p value

A

probability value

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11
Q

Difference between the highest and lowest scores

A

range

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12
Q

Findings are generally accepted when the p-value or likelihood of change is less than

A

5 in 100 p=<0.05 (5%)

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13
Q

Difference between two groups

A

Cohen’s d statistic

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14
Q

Looking at a correlation

A

Pearson’s r statistic

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15
Q

the extent to which participants tend to differ from one another in their scores

A

Variability

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16
Q

The amount an average participant deviates from the mean of the sample

A

Standard deviation

17
Q

to determine if results have occurred simply by chance a

A

Chi Square

18
Q

The approximate standard deviation of a statistical sample population

A

The standard error (SE)

19
Q

statistical term that measures the accuracy with which a sample distribution represents a population by using standard deviation

A

Standard Error SE

20
Q

measure of association between exposure (IV) and an outcome (DV)

A

Odds ratio

21
Q

An odds ration —– the relationship between the IV and the DV

A

Quantifies

22
Q

An Odds ration tell us how much

A

higher the odds of exposure are among one group than another

23
Q

The futher away the odds ratio is from 1.0 that test us that the association is

A

stronger

24
Q

The statistical significance of the odds ration can be tested using the

A

p-value (that you want to be less than 0,05 or <5%)

25
Q

In real life it can be difficult to identify a clear relationship between one variable and another, and for that we have the

A

Adjusted Odds Ratio

26
Q

Study design wheer researchs are study diffrences between 2 or more groups

A

Between groups study

27
Q

Researchers are comparing conditions within the same group

A

Within groups design