W3 - Descriptive Statistics Flashcards

1
Q

Define nominal scale

A

Subjects grouped into mutually exclusive categories.

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2
Q

Examples of nominal scale

A

Eye colour

Year of birth

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3
Q

Define ordinal scales

A

Ranks subjects/scores in order.

Doesn’t indicate how much better 1 score is to another.

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4
Q

Example of ordinal scales

A

University rankings

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5
Q

Define interval scales

A

Equal units or intervals between data points on a scale, but there’s no zero point.

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6
Q

Example of interval scales

A

Temperature

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7
Q

Define ratio scales

A

Equal units of measurement

Established 0 point.

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8
Q

Example of ratio scales

A

Mass

Length

Height

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9
Q

What are measures of central tendency used for?

A

To summarise or provide meaning to a whole dataset

To provide a ‘central’ value

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10
Q

What doesn’t central tendency show?

A

Distribution of scores

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11
Q

What is the SD?

A

Avg distance away from mean

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12
Q

What allows you to summarise data?

A

Measures of central tendency + dispersion

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13
Q

What graph would you make if you had a lot of data?

A

Frequency distribution plot/graph

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14
Q

Properties that all normally distributed data show

A

Symmetrical

Equal mean, median + mode

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15
Q

What do Z-scores do?

A

Describes a values relationship to the mean of a group of values.

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16
Q

How is the z-score measured?

A

In terms of SD from the mean

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17
Q

Equation to calculate z-score

A

(X - mean) / SD

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18
Q

Where would z-score of 0 be on a normal distribution curve?

A

In the middle of the bell curve

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19
Q

What do z-scores + normal distribution curve allow you to identify?

A

Ind. score rel. to pop

Probability of scoring a given z-score or higher/lower

What score is needed to be in a given % of the pop

20
Q

What are the important z-scores?

21
Q

Z-score

1.96

A

95% of scores fall w/in 1.96 Z scores or SDs above/below mean

22
Q

Z-score

2.58

A

99% of scores fall w/in 2.58 Z scores or SDs above/below mean

23
Q

Z-score

3.29

A

99.9% of scores fall w/in 3.29 Z scores or SDs above/below mean

24
Q

Type of deviation from normality

Skewness

A

A measure of lateral deviation from normality

25
Are skewed distributions symmetrical? What are they instead?
NO Most scores are high/low with small % of scores away from the majority
26
+ively skewed
"Tail" of distribution positioned at upper end of score continuum
27
-ively skewed
"Tail" of distribution positioned at lower end of score continuum
28
Type of deviation from normality Kurtosis
Measure of vertical deviation from normality
29
What are the distribution curves under kurtosis (type of deviation from normality)
Leptokurtic Platykurtic
30
KURTOSIS Leptokurtic curve
More peaked than a normal distribution curve
31
KURTOSIS Platykurtic curve
More flat than a normal distribution curve
32
KURTOSIS What is meant by mesokurtic
Level/Distribution of what you would expect from the normal distribution
33
What is a good guide for the coefficient of skewness?
-1.0 - 1.0
34
What is a good guide for the coefficient of kurtosis?
-1.0 - 2.0
35
What are the measures of central tendencies?
Mode Mean Median
36
When would you use the mode
When data is categorical
37
When would you use the mean?
If you want the total or If distribution isn't skewed
38
When would you use the median?
If distribution is skewed
39
Define a predictor variable
Variable thought to predict an outcome variable. (Like the independent variable).
40
What can variables be split into?
Categorical Continuous
41
What comes under categorical variables?
Binary variables Nominal variables Ordinal variables
42
What comes under continuous variables?
Interval variables Ratio variables
43
Define criterion validity
Establishing that an instrument measures what it claims to measure - by comparison to objective criteria.
44
What is said to assess concurrent validity?
Comparing a new test to an existing one to see if they produce similar results.
45
What is said to assess predictive validity?
When data from new instrument is used to predict observations at a later date.