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EXAMPLE - Statistical Functions

This example illustrates how you can apply statistical functions to your dataset. Calculations include average (mean), max, min, standard deviation, and variance.

Source:

Students took a test and recorded the following scores. You want to perform some statistical analysis on them:

Student

Score

Anna

84

Ben

71

Caleb

76

Danielle

87

Evan

85

Faith

92

Gabe

85

Hannah

99

Ian

73

Jane

68

Transformation:

You can use the following transformations to calculate the average (mean), minimum, and maximum scores:

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

AVERAGE(Score)

Parameter: New column name

'avgScore'

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

MIN(Score)

Parameter: New column name

'minScore'

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

MAX(Score)

Parameter: New column name

'maxScore'

To apply statistical functions to your data, you can use the VAR and STDEV functions, which can be used as the basis for other statistical calculations.

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

VAR(Score)

Parameter: New column name

var_Score

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

STDEV(Score)

Parameter: New column name

stdev_Score

For each score, you can now calculate the variation of each one from the average, using the following:

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

((Score - avg_Score) / stdev_Score)

Parameter: New column name

'stDevs'

Now, you want to apply grades based on a formula:

Grade

standard deviations from avg (stDevs)

A

stDevs > 1

B

stDevs > 0.5

C

-1 <= stDevs <= 0.5

D

stDevs < -1

F

stDevs < -2

You can build the following transformation using the IF function to calculate grades.

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

IF((stDevs > 1),'A',IF((stDevs < -2),'F',IF((stDevs < -1),'D',IF((stDevs > 0.5),'B','C'))))

For more information, see IF Function.

To clean up the content, you might want to apply some formatting to the score columns. The following reformats the stdev_Score and stDevs columns to display two decimal places:

Transformation Name

Edit column with formula

Parameter: Columns

stdev_Score

Parameter: Formula

NUMFORMAT(stdev_Score, '##.00')

Transformation Name

Edit column with formula

Parameter: Columns

stDevs

Parameter: Formula

NUMFORMAT(stDevs, '##.00')

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

MODE(Score)

Parameter: New column name

'modeScore'

Results:

Student

Score

modeScore

avgScore

minScore

maxScore

var_Score

stdev_Score

stDevs

Grade

Anna

84

85

82

68

99

87.00000000000001

9.33

0.21

C

Ben

71

85

82

68

99

87.00000000000001

9.33

-1.18

D

Caleb

76

85

82

68

99

87.00000000000001

9.33

-0.64

C

Danielle

87

85

82

68

99

87.00000000000001

9.33

0.54

B

Evan

85

85

82

68

99

87.00000000000001

9.33

0.32

C

Faith

92

85

82

68

99

87.00000000000001

9.33

1.07

A

Gabe

85

85

82

68

99

87.00000000000001

9.33

0.32

C

Hannah

99

85

82

68

99

87.00000000000001

9.33

1.82

A

Ian

73

85

82

68

99

87.00000000000001

9.33

-0.96

C

Jane

68

85

82

68

99

87.00000000000001

9.33

-1.50

D