Using data

Question

What are the two ways of representing data?

Answer 1

Numerical - measures of central tendency and dispersion

Answer 2

Bar charts

Answer 3

Pictorial - charts and graphs

Answer 4

Line graphs

Answer 5

Standard deviation

Answer 6

Inter-quartile range

Answer 7

The arithmetic average that is calculated through adding all of the values and then dividing by how many there are.

Answer 8

The middle number after all numbers have been ordered

Answer 9

The most frequent number in a set

Answer 10

• Contributed to by all values

Answer 11

• Preferred when data is skewed

Answer 12

• Useful in statistics

Answer 13

• Used within continuous data

Answer 14

• Preferred when data is normally distributed

Answer 15

• Easiest to understand and calculate

Answer 16

• More difficult to understand

Answer 17

• Time consuming

Answer 18

• Affected by extreme values

Answer 19

• Not appropriate with ordinal and nominal level data

Answer 20

• Might not be an actual value in the set

Answer 21

The sum of all values divided by the number of values

Answer 22

The middle number after all numbers have been ordered

Answer 23

• Easier to understand

Answer 24

• Easiest to understand and calculate

Answer 25

• Unaffected by extreme values

Answer 26

• Used with ordinal and continuous data

Answer 27

• An actual value

Answer 28

• Preferred when data is skewed

Answer 29

• Might not be an actual value in the set

Answer 30

• Time consuming

Answer 31

• Not appropriate with ordinal and nominal level data

Answer 32

The middle number after all numbers have been ordered

Answer 33

The most frequent number in a set

Answer 34

• Easiest to understand and calculate

Answer 35

• Used with categorical data

Answer 36

• An actual value

Answer 37

• Preferred when data is skewed

Answer 38

• Unaffected by extreme values

Answer 39

• Affected by extreme values

Answer 40

• Sometimes there is more than one

Answer 41

• More difficult to understand

Answer 42

Interquartile range

Answer 43

Standard deviation

Answer 44

How much on average each score deviates from the mean score.

Answer 45

The difference between the largest and the smallest.

Answer 46

• Easy to understand

Answer 47

• Related to the actual values in the set

Answer 48

• Useful in statistics

Answer 49

• Usual used with ordinal and continuous data

Answer 50

• More difficult to understand

Answer 51

• Affected by extreme values

Answer 52

The difference between the upper quartile (75% data point) and the lower quartile (25% data point).

Answer 53

How much on average each score deviates from the mean score.

Answer 54

• Related to the actual values in the set

Answer 55

• Useful in statistics

Answer 56

• Used with continuous data

Answer 57

• Usually used with ordinal and continuous data

Answer 58

• Unaffected by extreme values

Answer 59

• More difficult to understand

Answer 60

• Unlikely to be a value in the set

Answer 61

How much on average each score deviates from the mean score.

Answer 62

The difference between the upper quartile (75% data point) and the lower quartile (25% data point).

Answer 63

• Uses all the values in the set

Answer 64

• Easy to understand

Answer 65

• Useful in statistics

Answer 66

• Used with continuous data

Answer 67

• Usually used with ordinal and continuous data

Answer 68

• Affected by extreme values

Answer 69

• More difficult to understand

Answer 70

• Unlikely to be a value in the set

Answer 71

This is normal because the mean, median and mode lies in the same place, the mean is the preferred method.

Answer 72

The mean is dragged in the direction of the skew so the median is the preferred measure (an easy test – ceiling effect).

Answer 73

The mean is dragged in the direction of the skew so the median is the preferred measure (an easy test – ceiling effect).

Answer 74

The mean is dragged in the direction of the skew so the median is the preferred measure (an easy test – ceiling effect).

Answer 75

They are helpful for indicating whether a distribution is skewed and if there any unusual observations (outliers) in the data set.

Answer 76

They are useful when large numbers of observations are involved or comparing two or more data sets.

Answer 77

Line graph

Answer 78

Scatter diagram

Answer 79

Nominal data

Answer 80

Continuous data

Answer 81

Ordinal data

Answer 82

Ratio data

Answer 83

Categorical data

Answer 84

Interval data

Answer 85

When quantities that are ordered y criteria such as positions in a rate. However it does not allow you to state whether the intervals between each value are equal.

Answer 86

categorically discrete data such as the name of your school or the car you drive.

Answer 87

This is like like ordinal data except the intervals between each value is equally split, such as the time of day on a clock.

Answer 88

like ordinal data except the intervals between each value is equally split, such as the time of day on a clock.

Answer 89

interval data with a natural zero point (ruler in cm).

Answer 90

When quantities that are ordered y criteria such as positions in a rate. However it does not allow you to state whether the intervals between each value are equal.

Answer 91

The median could be a measure of central tendency for this.

Answer 92

The median could be a measure of central tendency for this.

Answer 93

this is like ordinal data except the intervals between each value is equally split, such as the time of day on a clock.

Answer 94

this is like ordinal data except the intervals between each value is equally split, such as the time of day on a clock.

Answer 95

interval data with a natural zero point (ruler in cm).

Answer 96

data which is divided into groups (types of animals). This data is nominal and discrete.

Answer 97

The mode would be the measure of central tendency as it cannot be used with arithmetic.

Answer 98

Representations could include a bar chart with gaps between the bars (grouped discrete data)

Answer 99

data restricted to a limited set of discrete values (shoes size and money)

Answer 100

data which can take any value within a range (height). The mean could be a measure of central tendency, this is because it would give you the arithmetic average for the large range of data which can then be used in statistics.

Answer 101

The median could be used if the data was skewed because this would be more representative of the data.

Answer 102

Representations could include a line graph or a histogram (grouped continuous)

Answer 103

data restricted to a limited set of discrete values (shoes size and money)

Answer 104

data which is divided into groups (types of animals). This data is nominal and discrete. The mode would be the measure of central tendency as it cannot be used with arithmetic.

Answer 105

Continuous

Answer 106

Standard deviation

Answer 107

Ordinal data

Answer 108

Skewed data

Answer 109

Categorical data

Answer 110

Ordinal data

Answer 111

Nominal data

	Erstellt von sam.wilberforce vor etwa 8 Jahre

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Using data

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