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Flashcards in eM2 – Choosing statistics Deck (33)
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1

In terms of analysis, what are correlations?

Hypothesis tests to evaluate relationships between variables

2

What are comparisons?

Hypothesis tests to evaluate differences between groups or populations

3

What is quantitative data?

Numeric information about quantities - i.e height width etc.

4

What is qualitative / categorical data?

Information that cannot be measured - i.e. gender, stages of disease etc.

5

Give two types of quantitative data and an example for each:

Measured (continuous): age

Counted (discrete): number of people with hypertension

6

Give two types of qualitative/categorical data and an example for each:

Nominal: Gender, Colour

Ordinal: Fitness (not fit, quite fit, very fit), Happiness

7

What is the difference between continuous and discrete data?

Continuous can be divided to finer and more precise levels.

Discrete data cannot be made more precise.

8

What is nominal data?

Qualitative data containing individual categories that cannot be put in an implicit rank/order

9

What is ordinal data?

Categories that have an implicit/natural order.

10

What is normality in terms of statistical analysis?

Normality is a measure of central tendency and dispersion of data - i.e symmetric distribution with "well behaved tails"

11

What is meant by left skewness?

Mean to the left of the peak, long tail in negative (decreasing) direction of curve

12

What is meant by right skewness?

Mean to the right of the peak, long tail in positive (increasing) direction of the curve

13

What is kurtosis?

The sharpness of a peak of a distribution curve

14

What two factors do statistical tests rely on?

50% of values above and below mean - symmetrical

2/3rds of data within 1 SD from mean - normal distribution

15

How to assess normality of data quantitatively?

Shapiro-Wilks test - n<50
Kolmogarov-Smirnof test - n>50

16

What is descriptive statistics?

A method of categorising large data sets into a format easy to read (tangible).

17

What is the mean?

μ = ( Σ Xi ) / N

18

What is the median?

(n+1)/2 -th number in the data set.

19

What is the mode?

Most frequent data entry.

20

What is the standard deviation in a data set?

σ = sqrt[ Σ ( Xi – μ )^2 / N ]

A measure of how dispersed the data are from the mean.

21

What is meant by dependant (paired) data?

When the data being collected is consistantly being collected from the same subject

22

What is meant by parametric statistics?

When the data from the population are well described by the mean and SD - normally distributed.

23

What is meant by non-parametric statistics?

When the data is not well described by the mean - non-normally distributed quantitative data.

note: non-parametric tests are used for qualitative data.

24

Parametric, 2 groups, paired

Paired t-test

25

Parametric, 2 groups, unpaired

Independant t-test

26

Parametric, 3+ groups, paired

Repeated measures, one way ANOVA

27

Parametric, 3+ groups, unpaired

one way ANOVA

28

Non-parametric, 2 groups, paired

Wilcoxon Signed Rank test

29

Non-parametric, 2 groups, unpaired

Mann-Whitney U test

30

Non-parametric, 3+ groups, paired

Friedman test