Difference between revisions of "Manuals/calci/DESCRIPTIVESTATISTICS"
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− | =DESCRIPTIVESTATISTICS( | + | <div style="font-size:25px">'''DESCRIPTIVESTATISTICS (AreaArray,GroupBy,ConfidenceLevelPercentage,KthLargest,KthSmallest,IsFirstRowLabels, NewTableFlag)'''</div><br/> |
where, | where, | ||
− | *<math> | + | *<math>AreaArray</math> is array of integers or reference to the cells containing array, |
*<math>GroupBy</math> is a method that performs the analysis by Columns or Rows, | *<math>GroupBy</math> is a method that performs the analysis by Columns or Rows, | ||
− | *<math> | + | *<math>ConfidenceLevelPercentage</math> represents the confidence level for mean of data points and is between 0 to 100, |
*<math>KthLargest</math> represents the Kth largest value for each range of data, | *<math>KthLargest</math> represents the Kth largest value for each range of data, | ||
*<math>KthSmallest</math> represents the Kth smallest value for each range of data, | *<math>KthSmallest</math> represents the Kth smallest value for each range of data, | ||
Line 10: | Line 10: | ||
*<math>NewTableFlag</math> is a logical value that determines how the output should be displayed. | *<math>NewTableFlag</math> is a logical value that determines how the output should be displayed. | ||
− | DESCRIPTIVESTATISTICS() calculates a range of statistical measurements and | + | DESCRIPTIVESTATISTICS(), calculates a range of statistical measurements and summarises them into a table. |
== Description == | == Description == | ||
− | DESCRIPTIVESTATISTICS( | + | DESCRIPTIVESTATISTICS (AreaArray,GroupBy,ConfidenceLevelPercentage,KthLargest,KthSmallest, |
+ | IsFirstRowLabels,NewTableFlag) | ||
− | *<math> | + | *<math>AreaArray</math> can be numbers or can be names, arrays or references containing numbers. |
*Values containing text, logical values or empty cells are ignored. | *Values containing text, logical values or empty cells are ignored. | ||
*Argument <math>GroupBy</math> can be "Rows" or "Columns". | *Argument <math>GroupBy</math> can be "Rows" or "Columns". | ||
− | *If <math> | + | *If <math>ConfidenceLevelPercentage</math> < '0' or <math>ConfidenceLevel</math> > '100', Calci displays an error message. |
*If <math>KthSmallest</math> < '0' or <math>KthLargest</math> > 'Length of array', Calci displays an error message. | *If <math>KthSmallest</math> < '0' or <math>KthLargest</math> > 'Length of array', Calci displays an error message. | ||
*<math>IsFirstRowLabels</math> can be a logical value TRUE or FALSE. | *<math>IsFirstRowLabels</math> can be a logical value TRUE or FALSE. | ||
Line 26: | Line 27: | ||
*If data is invalid, Calci displays NaN error message. | *If data is invalid, Calci displays NaN error message. | ||
+ | ==ZOS== | ||
+ | *The syntax is to use this function in ZOS is <math> DESCRIPTIVESTATISTICS(AreaArray, GroupBy, ConfidenceLevelPercentage, KthLargest, KthSmallest, IsFirstRowLabels, NewTableFlag) </math> | ||
+ | *For e.g., DESCRIPTIVESTATISTICS([[8,7,11,7,33],[8,8,11,18,37]],"columns",95,1,1,false,true) | ||
== Examples == | == Examples == | ||
Line 86: | Line 90: | ||
</div> | </div> | ||
− | =DESCRIPTIVESTATISTICS(A2: | + | =DESCRIPTIVESTATISTICS(A2:B6,"Columns",95,1,1,FALSE,TRUE) |
=DESCRIPTIVESTATISTICS(A2:B6,"Rows",95,2,1,FALSE,TRUE) | =DESCRIPTIVESTATISTICS(A2:B6,"Rows",95,2,1,FALSE,TRUE) | ||
Line 102: | Line 106: | ||
|- class="odd" | |- class="odd" | ||
| Mean | | Mean | ||
− | | | + | | 13.2 |
|- class="even" | |- class="even" | ||
| Standard Error | | Standard Error | ||
− | | | + | | 5.0039984012787215 |
|- class="odd" | |- class="odd" | ||
| Median | | Median | ||
− | | | + | | 8 |
|- class="even" | |- class="even" | ||
| Mode | | Mode | ||
Line 114: | Line 118: | ||
|- class="odd" | |- class="odd" | ||
| Standard Deviation | | Standard Deviation | ||
− | | | + | | 11.189280584559492 |
|- class="even" | |- class="even" | ||
| Sample Variance | | Sample Variance | ||
− | | | + | | 125.20000000000002 |
|- class="odd" | |- class="odd" | ||
| Kurtosis | | Kurtosis | ||
− | | | + | | 4.552218048566379 |
|- class="even" | |- class="even" | ||
| Skewness | | Skewness | ||
− | | | + | | 2.121996141236003 |
|- class="odd" | |- class="odd" | ||
| Range | | Range | ||
− | | | + | | 26 |
|- class="even" | |- class="even" | ||
| Minimum | | Minimum | ||
Line 132: | Line 136: | ||
|- class="odd" | |- class="odd" | ||
| Maximum | | Maximum | ||
− | | | + | | 33 |
|- class="even" | |- class="even" | ||
| Sum | | Sum | ||
− | | | + | | 66 |
|- class="odd" | |- class="odd" | ||
| Count | | Count | ||
− | | | + | | 5 |
|- class="even" | |- class="even" | ||
| Confidence Level 95% | | Confidence Level 95% | ||
− | | | + | | 13.8933265079393 |
|- class="odd" | |- class="odd" | ||
| Largest(1) | | Largest(1) | ||
− | | | + | | 33 |
|- class="even" | |- class="even" | ||
| Smallest(1) | | Smallest(1) | ||
Line 157: | Line 161: | ||
|- class="odd" | |- class="odd" | ||
| Mean | | Mean | ||
− | | | + | | 16.4 |
|- class="even" | |- class="even" | ||
| Standard Error | | Standard Error | ||
− | | | + | | 5.4644304369257 |
|- class="odd" | |- class="odd" | ||
| Median | | Median | ||
− | | | + | | 11 |
|- class="even" | |- class="even" | ||
| Mode | | Mode | ||
Line 169: | Line 173: | ||
|- class="odd" | |- class="odd" | ||
| Standard Deviation | | Standard Deviation | ||
− | | | + | | 12.218837915284743 |
|- class="even" | |- class="even" | ||
| Sample Variance | | Sample Variance | ||
− | | | + | | 149.3 |
|- class="odd" | |- class="odd" | ||
| Kurtosis | | Kurtosis | ||
− | | | + | | 2.704996615148442 |
|- class="even" | |- class="even" | ||
| Skewness | | Skewness | ||
− | | 1. | + | | 1.6908658101947216 |
|- class="odd" | |- class="odd" | ||
| Range | | Range | ||
− | | | + | | 29 |
|- class="even" | |- class="even" | ||
| Minimum | | Minimum | ||
Line 187: | Line 191: | ||
|- class="odd" | |- class="odd" | ||
| Maximum | | Maximum | ||
− | | | + | | 37 |
|- class="even" | |- class="even" | ||
| Sum | | Sum | ||
− | | | + | | 82 |
|- class="odd" | |- class="odd" | ||
| Count | | Count | ||
− | | | + | | 5 |
|- class="even" | |- class="even" | ||
| Confidence Level 95% | | Confidence Level 95% | ||
− | | | + | | 15.171690746489805 |
|- class="odd" | |- class="odd" | ||
| Largest(1) | | Largest(1) | ||
− | | | + | | 37 |
|- class="even" | |- class="even" | ||
| Smallest(1) | | Smallest(1) | ||
Line 485: | Line 489: | ||
|} | |} | ||
</div> | </div> | ||
+ | |||
+ | ==Related Videos== | ||
+ | |||
+ | {{#ev:youtube|eLyLbaXfJXo|280|center|DESCRIPTIVE STATISTICS}} | ||
+ | |||
== See Also == | == See Also == | ||
+ | *[[Manuals/calci/STATS | STATS]] | ||
*[[Manuals/calci/COVAR | COVAR]] | *[[Manuals/calci/COVAR | COVAR]] | ||
*[[Manuals/calci/COVARIANCE | COVARIANCE]] | *[[Manuals/calci/COVARIANCE | COVARIANCE]] | ||
Line 493: | Line 503: | ||
*[http://en.wikipedia.org/wiki/Descriptive_statistics Descriptive Statistics] | *[http://en.wikipedia.org/wiki/Descriptive_statistics Descriptive Statistics] | ||
+ | |||
+ | |||
+ | *[[Z_API_Functions | List of Main Z Functions]] | ||
+ | |||
+ | *[[ Z3 | Z3 home ]] |
Latest revision as of 02:31, 12 August 2020
DESCRIPTIVESTATISTICS (AreaArray,GroupBy,ConfidenceLevelPercentage,KthLargest,KthSmallest,IsFirstRowLabels, NewTableFlag)
where,
- is array of integers or reference to the cells containing array,
- is a method that performs the analysis by Columns or Rows,
- represents the confidence level for mean of data points and is between 0 to 100,
- represents the Kth largest value for each range of data,
- represents the Kth smallest value for each range of data,
- is a logical value that determines if the first row has any label,
- is a logical value that determines how the output should be displayed.
DESCRIPTIVESTATISTICS(), calculates a range of statistical measurements and summarises them into a table.
Description
DESCRIPTIVESTATISTICS (AreaArray,GroupBy,ConfidenceLevelPercentage,KthLargest,KthSmallest, IsFirstRowLabels,NewTableFlag)
- can be numbers or can be names, arrays or references containing numbers.
- Values containing text, logical values or empty cells are ignored.
- Argument can be "Rows" or "Columns".
- If < '0' or > '100', Calci displays an error message.
- If < '0' or > 'Length of array', Calci displays an error message.
- can be a logical value TRUE or FALSE.
- can be a logical value TRUE or FALSE. If omitted, Calci assumes it to be TRUE.
- If is TRUE, output is displayed on a new ZSpace cube. If is FALSE, output is displayed on the same spreadsheet where command is written.
- If data is invalid, Calci displays NaN error message.
ZOS
- The syntax is to use this function in ZOS is
- For e.g., DESCRIPTIVESTATISTICS([[8,7,11,7,33],[8,8,11,18,37]],"columns",95,1,1,false,true)
Examples
Consider the following table with two arrays as input to DESCRIPTIVESTATISTICS() function -
Column1 | Column2 | Column3 | Column4 | |
Row1 | 8 | 8 | ||
Row2 | 7 | 8 | ||
Row3 | 11 | 11 | ||
Row4 | 7 | 18 | ||
Row5 | 33 | 37 | ||
Row6 |
=DESCRIPTIVESTATISTICS(A2:B6,"Columns",95,1,1,FALSE,TRUE) =DESCRIPTIVESTATISTICS(A2:B6,"Rows",95,2,1,FALSE,TRUE)
DESCRIPTIVESTATISTICS() displays the respective output for above examples -
Column 1 | |
---|---|
Mean | 13.2 |
Standard Error | 5.0039984012787215 |
Median | 8 |
Mode | 7 |
Standard Deviation | 11.189280584559492 |
Sample Variance | 125.20000000000002 |
Kurtosis | 4.552218048566379 |
Skewness | 2.121996141236003 |
Range | 26 |
Minimum | 7 |
Maximum | 33 |
Sum | 66 |
Count | 5 |
Confidence Level 95% | 13.8933265079393 |
Largest(1) | 33 |
Smallest(1) | 7 |
Column 2 | |
---|---|
Mean | 16.4 |
Standard Error | 5.4644304369257 |
Median | 11 |
Mode | 8 |
Standard Deviation | 12.218837915284743 |
Sample Variance | 149.3 |
Kurtosis | 2.704996615148442 |
Skewness | 1.6908658101947216 |
Range | 29 |
Minimum | 8 |
Maximum | 37 |
Sum | 82 |
Count | 5 |
Confidence Level 95% | 15.171690746489805 |
Largest(1) | 37 |
Smallest(1) | 8 |
Row 1 | |
---|---|
Mean | 8 |
Standard Error | 0 |
Median | 8 |
Mode | 8 |
Standard Deviation | 0 |
Sample Variance | 0 |
Kurtosis | NaN |
Skewness | NaN |
Range | 0 |
Minimum | 8 |
Maximum | 8 |
Sum | 16 |
Count | 2 |
Confidence Level 95% | 0 |
Largest(2) | 8 |
Smallest(1) | 8 |
Row 2 | |
---|---|
Mean | 7.5 |
Standard Error | 0.5 |
Median | 7.5 |
Mode | #ERROR |
Standard Deviation | 0.7071067811865476 |
Sample Variance | 0.5000000000000001 |
Kurtosis | NaN |
Skewness | NaN |
Range | 1 |
Minimum | 7 |
Maximum | 8 |
Sum | 15 |
Count | 2 |
Confidence Level 95% | 6.353102368087358 |
Largest(2) | 7 |
Smallest(1) | 7 |
Row 3 | |
---|---|
Mean | 11 |
Standard Error | 0 |
Median | 11 |
Mode | 11 |
Standard Deviation | 0 |
Sample Variance | 0 |
Kurtosis | NaN |
Skewness | NaN |
Range | 0 |
Minimum | 11 |
Maximum | 11 |
Sum | 22 |
Count | 2 |
Confidence Level 95% | 0 |
Largest(2) | 11 |
Smallest(1) | 11 |
Row 4 | |
---|---|
Mean | 12.5 |
Standard Error | 5.499999999999999 |
Median | 12.5 |
Mode | #ERROR |
Standard Deviation | 7.7781745930520225 |
Sample Variance | 60.49999999999999 |
Kurtosis | NaN |
Skewness | NaN |
Range | 11 |
Minimum | 7 |
Maximum | 18 |
Sum | 25 |
Count | 2 |
Confidence Level 95% | 69.88412604896092 |
Largest(2) | 7 |
Smallest(1) | 7 |
Row 5 | |
---|---|
Mean | 35 |
Standard Error | 2 |
Median | 35 |
Mode | #ERROR |
Standard Deviation | 2.8284271247461903 |
Sample Variance | 8.000000000000002 |
Kurtosis | NaN |
Skewness | NaN |
Range | 4 |
Minimum | 33 |
Maximum | 37 |
Sum | 70 |
Count | 2 |
Confidence Level 95% | 25.41240947234943 |
Largest(2) | 33 |
Smallest(1) | 33 |
Related Videos
See Also
References