RM: data analysis

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Last updated 5:49 PM on 3/13/26
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33 Terms

1
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What is ‘measure of central tendency’?

The measure of central tendency informs us about the middle value for a set of data

2
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What are the different ways an average can be calculated?

Mean

Median

Mode

3
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what is a pro of the mean?

It makes use of the values of all the data

4
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What are the cons of the mean?

  • The mean can be misrepresentative of the data as a whole if there are extreme values

  • It cannot be used with nominal data

5
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What is nominal data?

Nominal data is data that is categorised into named groups or labels, where the categories cannot be ordered or ranked. eg eye colour

6
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what is the median?

The median is the middle value in an ordered list

7
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What are the pros of the median?

  • not effected by extreme scores

  • Not as ‘sensitive’ as the mean because not all values are reflected in the median

8
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What is the mode?

The mode is the value that is most common

9
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What is the mode useful for?

The mode is useful when the data is in categories, eg nomina data

10
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What is a con of the mode?

Not a useful way of describing data when there are several modes

11
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What can be used to measure dispersion?

The range

12
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Why can finding the range of a data set be useful?

It can be useful because it provides you with direct information: how varied or consistent the results are.

13
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What are disadvantages of the range?

  • It only uses the highest and lowest values, ignoring the rest of the data.

  • It can be strongly affected by extreme values (outliers).

  • It does not give detailed information about the overall spread of the data.

14
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What is standard deviation?

Standard deviation is a measure of how much the values in a data set deviate (spread) from the mean.

15
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What are the advantages of using standard deviation?

More precise measure of dispersion because all values are considered

16
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What are the disadvantages of standard deviation?

difficult to calculate

Sensitive to outliers

17
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what does the height of the bar in bar charts represent?

The frequency

18
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What are bar charts most suitable for?

Data that is continuous such as nominal data (data set out in distinct categories)

19
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What does the space between bars in bar chart represent?

The lack of continuity

20
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What must the area within a bar in a histogram be proportional too?

The area of each bar must be proportional to the frequency of that category or class.

21
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What must the horizontal axis be in a histogram?

The horizontal axis must represent the continuous, quantitative variable being measured, divided into equal or specified class intervals.

22
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Why do the bars in histogram touch each other?

To show continuity

23
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What does the y axis represent in a line graph?

Frequency

24
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What must the values along the c axis be in a line graph?

Continuous

25
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When is a scatter graph used?

When doing a correlational analysis

26
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What is a normal distribution?

A normal distribution is a bell-shaped, symmetrical distribution where most values are clustered around the mean, and frequencies decrease evenly toward the extremes.

27
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What is a positive skew?

A positive skew is where most of the distribution is concentrated towards the left of the graph

28
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How are the mode, mean and median arranged in a positive skew?

Mode → median → mean

29
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What is a negative skew?

A negative skew is where most of the distribution is concentrated towards the right of the graph

30
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How are mode, mean and median arranged in a negative skew?

Mean → median → mode

31
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Example of positive skew

knowt flashcard image
32
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Example of negative skew

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33
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