Inferential Statistics/maths Flashcards

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1
Q

Test used with nominal data, independent measures design

A

Chi square

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2
Q

Test with ordinal data and independent measures design

A

Mann-Whitney U-test

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3
Q

Test with nominal data and repeated measures/matched participants

A

Binomial sign test

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4
Q

Test using ordinal data and repeated measures/matched participants design

A

Wilcoxon signed ranks

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5
Q

Test used ordinal data correlation study

A

Spearman’s Rho

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6
Q

Test used interval/ratio correlation study

A

Pearson’s product moment

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7
Q

Para and non parametric tests

A

Parametric tests are used when there is:
Interval/ratio level data (t tests and Pearson’s product moment)
A normal distribution of data
Similar variances between results from the different conditions (homogeneity of variance)

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8
Q

First step chi square

A

Add up row and column totals and overall totals

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9
Q

Second step chi square

A

Write in the observed frequency

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10
Q

Step 3 chi square

A

Work out expected frequency

Row total X column total divided by overall total

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11
Q

Fourth step chi square

A

Observed frequency minus expected frequency

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12
Q

Fifth step chi square

A

Square the observed frequency minus expected

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13
Q

Sixth step chi square

A

After you square the observed-expected

You divide this answer by the expected frequency

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14
Q

Seventh step chi square

A

X squared = add up last column

Last column was where you divide by the expected frequency

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15
Q

Chi square: X squared from the table is…

A

Calculated value

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16
Q

Chi square: how to calculate degrees of freedom

A

(Number of rows-1) X (number of columns-1)

Always 1

17
Q

Chi square: how do you find critical value on the table

A

Look at level of significance needed at the top (columns)

Look at degrees of freedom at the side (rows)

18
Q

For chi square and Spearman’s Rho, what’s needed to be significant? (Confirm alternative hypothesis)

A

Calculated value bigger than critical value

19
Q

Binomial sign text what’s needed to show significant difference? (Confirm alternative hypothesis)

A

Critical must be bigger than calculated value

20
Q

Measures of dispersion

A

Range, variance, standard deviation

21
Q

Variance method

A
  1. Calculate mean
  2. Original score - mean (gives ‘d’ difference)
  3. Square it (d2)
  4. Add all new d squared values and divide by number of participants minus 1
    (Like mean but minus one from number of participants before you divide)
22
Q

Standard deviation method

A

Square root of variance

23
Q

Difference between bar graph and histogram

A

Gaps in bar charts (non continuous data)
Histogram used with interval/ratio data

Histogram Y axis frequency density 
Frequency density= frequency/ class width 

Frequency given by area of the bar, not height in histogram
Bar charts bars can be unrepresentative especially in unequal categories

24
Q

Binomial sign test method

A
  1. Put plus or minus indication direction of difference
  2. Add up least frequent sign to get calculated value
  3. Use level of significance+one/two tailed hypothesis (column) and number of participants (rows) to find critical value
  4. To show level of significance (confirm hypothesis) critical value must be bigger than calculated value
25
Q

Experiment hypothesis v correlation hypothesis language

A

Experiment ‘difference’

Correlation ‘relationship’

26
Q

Strength of variance

A

Takes into account all data collected

27
Q

Histogram eval

A

S- representative as shows correct proportions

28
Q

Bar chart eval

A

W- unrepresentative bars don’t always show correct proportions

29
Q

How to work out frequency density for histogram

A
Frequency divided by class width 
(This is how tall bar will be)
30
Q

What needs to be included for statement of significance

A
  • Operationalised hypothesis
  • level of significance (eg. P smaller or equal to 0.05)
  • explain why (is calc value higher or lower than critical)
31
Q

Find ratios of given amount

Eg. 2:7 of £45

A
Divide value by total rations 
Multiply by ration you want to find out 
Eg. 45/9 = 5 
5 X 7 = 35 
5 X 2 = 10
32
Q

Find fraction of given amount

A

Divide by denominator

Multiply by numerator

33
Q

Pie chart

A

Data for each group divided by total data
X 360
= each sector

34
Q

Conversion between %, fractions & decimals

A

% into decimal = divide by 100

% into fraction = over 100 then simplest form