Difference between revisions of "Manuals/calci/DESCRIPTIVESTATISTICS"
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(Created page with "<div id="6SpaceContent" class="zcontent" align="left"> '''DESCRIPTIVESTATISTICS'''(Array, GroupBy, ConfidenceLevel, KthLargest, KthSmallest, NewTableFlag) where, ''...") |
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− | + | =DESCRIPTIVESTATISTICS(Array, GroupBy, ConfidenceLevel, KthLargest, KthSmallest, NewTableFlag)= | |
− | |||
− | |||
where, | where, | ||
+ | *<math>Array</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>ConfidenceLevel</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>KthSmallest</math> represents the Kth smallest value for each range of data, | ||
+ | *<math>NewTableFlag</math> is a logical value that determines how the output should be displayed. | ||
− | + | DESCRIPTIVESTATISTICS() calculates a range of statistical measurements and summarizes them into a table. | |
− | + | == Description == | |
− | + | DESCRIPTIVESTATISTICS(Array, GroupBy, ConfidenceLevel, KthLargest, KthSmallest, NewTableFlag) | |
− | '''KthLargest | + | *<math>Array</math> can be numbers or can be names, arrays or references containing numbers. |
+ | *Values containing text, logical values or empty cells are ignored. | ||
+ | *Argument <math>GroupBy</math> can be "Rows" or "Columns". | ||
+ | *If <math>ConfidenceLevel</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. | ||
+ | *<math>NewTableFlag</math> can be a logical value TRUE or FALSE. If omitted, Calci assumes it to be TRUE. | ||
+ | *If <math>NewTableFlag</math> is TRUE, output is displayed on a new ZSpace cube. If <math>NewTableFlag</math> is FALSE, output is displayed on the same spreadsheet where command is written. | ||
+ | *If data is invalid, Calci displays NaN error message. | ||
− | |||
− | + | == Examples == | |
− | + | Consider the following table with two arrays as input to DESCRIPTIVESTATISTICS() function - | |
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− | <div id=" | ||
{| id="TABLE3" class="SpreadSheet blue" | {| id="TABLE3" class="SpreadSheet blue" | ||
Line 65: | Line 35: | ||
| class=" " | | | class=" " | | ||
| Column1 | | Column1 | ||
− | + | | Column2 | |
− | + | | Column3 | |
| Column4 | | Column4 | ||
+ | |||
|- class="odd" | |- class="odd" | ||
| class=" " | Row1 | | class=" " | Row1 | ||
| class=" " | 8 | | class=" " | 8 | ||
− | | class=" | + | | class=" " | 8 |
− | | class="sshl_f" | | + | | class="sshl_f" | |
− | | class="sshl_f" | | + | | class="sshl_f" | |
+ | |||
|- class="even" | |- class="even" | ||
| class=" " | Row2 | | class=" " | Row2 | ||
| class=" " | 7 | | class=" " | 7 | ||
− | | class=" | + | | class=" " | 8 |
− | | class=" " | | + | | class=" " | |
− | | class="sshl_f" | | + | | class="sshl_f" | |
+ | |||
|- class="odd" | |- class="odd" | ||
− | | Row3 | + | | class=" " | Row3 |
− | | class=" | + | | class=" " | 11 |
− | | class=" | + | | class=" " | 11 |
− | | | + | | class=" " | |
− | | class="sshl_f | + | | class="sshl_f" | |
+ | |||
|- class="even" | |- class="even" | ||
− | + | | class=" " | Row4 | |
− | | class=" | + | | class=" " | 7 |
− | | class=" | + | | class=" " | 18 |
− | + | | class="sshl_f" | | |
− | | class="sshl_f" | | + | | class=" " | |
− | | class=" " | | + | |
|- class="odd" | |- class="odd" | ||
| class=" " | Row5 | | class=" " | Row5 | ||
− | | class=" | + | | class=" " | 33 |
− | | 37 | + | | class=" " | 37 |
− | | | + | | class="sshl_f" | |
− | | | + | | class=" " | |
+ | |||
|- class="even" | |- class="even" | ||
− | | Row6 | + | | class=" " | Row6 |
− | | class=" | + | | class=" " | |
− | | class="sshl_f" | | + | | class=" " | |
− | | | + | | class="sshl_f" | |
− | | | + | | class=" " | |
|} | |} | ||
− | <div | + | </div> |
+ | |||
+ | =DESCRIPTIVESTATISTICS(A2:B5,"Columns",95,1,1,TRUE) | ||
+ | =DESCRIPTIVESTATISTICS(A2:B6,"Rows",95,2,1,TRUE) | ||
+ | |||
---- | ---- | ||
+ | |||
+ | DESCRIPTIVESTATISTICS() displays the respective output for above examples - | ||
+ | |||
<div id="5SpaceContent" class="zcontent" align="left"> | <div id="5SpaceContent" class="zcontent" align="left"> | ||
Line 119: | Line 101: | ||
| Mean | | Mean | ||
| 8.25 | | 8.25 | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
|- class="even" | |- class="even" | ||
| Standard Error | | Standard Error | ||
Line 135: | Line 111: | ||
| 7 | | 7 | ||
|- class="odd" | |- class="odd" | ||
+ | | Standard Deviation | ||
+ | | 1.8929694486000912 | ||
+ | |- class="even" | ||
| Sample Variance | | Sample Variance | ||
| 3.5833333333333335 | | 3.5833333333333335 | ||
+ | |- class="odd" | ||
+ | | Kurtosis | ||
+ | | 2.6154678204434845 | ||
|- class="even" | |- class="even" | ||
− | |||
− | |||
− | |||
| Skewness | | Skewness | ||
| 1.6585238002878033 | | 1.6585238002878033 | ||
+ | |- class="odd" | ||
+ | | Range | ||
+ | | 4 | ||
|- class="even" | |- class="even" | ||
| Minimum | | Minimum | ||
Line 150: | Line 132: | ||
| 11 | | 11 | ||
|- class="even" | |- class="even" | ||
− | |||
− | |||
− | |||
| Sum | | Sum | ||
| 33 | | 33 | ||
+ | |- class="odd" | ||
+ | | Count | ||
+ | | 4 | ||
|- class="even" | |- class="even" | ||
| Confidence Level 95% | | Confidence Level 95% | ||
− | | | + | | 3.0121394744317427 |
|- class="odd" | |- class="odd" | ||
| Largest(1) | | Largest(1) | ||
Line 174: | Line 156: | ||
| Mean | | Mean | ||
| 11.25 | | 11.25 | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
|- class="even" | |- class="even" | ||
| Standard Error | | Standard Error | ||
Line 190: | Line 166: | ||
| 8 | | 8 | ||
|- class="odd" | |- class="odd" | ||
+ | | Standard Deviation | ||
+ | | 4.716990566028302 | ||
+ | |- class="even" | ||
| Sample Variance | | Sample Variance | ||
| 22.249999999999996 | | 22.249999999999996 | ||
− | |- class=" | + | |- class="odd" |
| Kurtosis | | Kurtosis | ||
| 1.9800530236081304 | | 1.9800530236081304 | ||
+ | |- class="even" | ||
+ | | Skewness | ||
+ | | 1.517345279919216 | ||
|- class="odd" | |- class="odd" | ||
− | | | + | | Range |
− | | | + | | 10 |
|- class="even" | |- class="even" | ||
| Minimum | | Minimum | ||
Line 205: | Line 187: | ||
| 18 | | 18 | ||
|- class="even" | |- class="even" | ||
− | |||
− | |||
− | |||
| Sum | | Sum | ||
| 45 | | 45 | ||
+ | |- class="odd" | ||
+ | | Count | ||
+ | | 4 | ||
|- class="even" | |- class="even" | ||
| Confidence Level 95% | | Confidence Level 95% | ||
− | | | + | | 7.505791229205204 |
|- class="odd" | |- class="odd" | ||
| Largest(1) | | Largest(1) | ||
Line 233: | Line 215: | ||
| Mean | | Mean | ||
| 8 | | 8 | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
|- class="even" | |- class="even" | ||
| Standard Error | | Standard Error | ||
Line 248: | Line 224: | ||
| Mode | | Mode | ||
| 8 | | 8 | ||
+ | | Standard Deviation | ||
+ | | 0 | ||
|- class="odd" | |- class="odd" | ||
| Sample Variance | | Sample Variance | ||
Line 258: | Line 236: | ||
| NaN | | NaN | ||
|- class="even" | |- class="even" | ||
+ | | Range | ||
+ | | 0 | ||
+ | |- class="odd" | ||
| Minimum | | Minimum | ||
| 8 | | 8 | ||
− | |- class=" | + | |- class="even" |
| Maximum | | Maximum | ||
| 8 | | 8 | ||
− | |||
− | |||
− | |||
|- class="odd" | |- class="odd" | ||
| Sum | | Sum | ||
| 16 | | 16 | ||
|- class="even" | |- class="even" | ||
+ | | Count | ||
+ | | 2 | ||
+ | |- class="odd" | ||
| Confidence Level 95% | | Confidence Level 95% | ||
| 0 | | 0 | ||
− | |- class=" | + | |- class="even" |
| Largest(2) | | Largest(2) | ||
| 8 | | 8 | ||
Line 288: | Line 269: | ||
| Mean | | Mean | ||
| 7.5 | | 7.5 | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
|- class="even" | |- class="even" | ||
| Standard Error | | Standard Error | ||
Line 303: | Line 278: | ||
| Mode | | Mode | ||
| #ERROR | | #ERROR | ||
+ | | Standard Deviation | ||
+ | | 0.7071067811865476 | ||
|- class="odd" | |- class="odd" | ||
| Sample Variance | | Sample Variance | ||
Line 313: | Line 290: | ||
| NaN | | NaN | ||
|- class="even" | |- class="even" | ||
+ | | Range | ||
+ | | 1 | ||
+ | |- class="odd" | ||
| Minimum | | Minimum | ||
| 7 | | 7 | ||
− | |- class=" | + | |- class="even" |
| Maximum | | Maximum | ||
| 8 | | 8 | ||
− | |||
− | |||
− | |||
|- class="odd" | |- class="odd" | ||
| Sum | | Sum | ||
| 15 | | 15 | ||
|- class="even" | |- class="even" | ||
+ | | Count | ||
+ | | 2 | ||
+ | |- class="odd" | ||
| Confidence Level 95% | | Confidence Level 95% | ||
− | | | + | | 6.353102368087358 |
− | |- class=" | + | |- class="even" |
| Largest(2) | | Largest(2) | ||
| 7 | | 7 | ||
Line 343: | Line 323: | ||
| Mean | | Mean | ||
| 11 | | 11 | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
|- class="even" | |- class="even" | ||
| Standard Error | | Standard Error | ||
Line 358: | Line 332: | ||
| Mode | | Mode | ||
| 11 | | 11 | ||
+ | | Standard Deviation | ||
+ | | 0 | ||
|- class="odd" | |- class="odd" | ||
| Sample Variance | | Sample Variance | ||
Line 368: | Line 344: | ||
| NaN | | NaN | ||
|- class="even" | |- class="even" | ||
+ | | Range | ||
+ | | 0 | ||
+ | |- class="odd" | ||
| Minimum | | Minimum | ||
| 11 | | 11 | ||
− | |- class=" | + | |- class="even" |
| Maximum | | Maximum | ||
| 11 | | 11 | ||
− | |||
− | |||
− | |||
|- class="odd" | |- class="odd" | ||
| Sum | | Sum | ||
| 22 | | 22 | ||
|- class="even" | |- class="even" | ||
+ | | Count | ||
+ | | 2 | ||
+ | |- class="odd" | ||
| Confidence Level 95% | | Confidence Level 95% | ||
| 0 | | 0 | ||
− | |- class=" | + | |- class="even" |
| Largest(2) | | Largest(2) | ||
| 11 | | 11 | ||
Line 388: | Line 367: | ||
| Smallest(1) | | Smallest(1) | ||
| 11 | | 11 | ||
+ | |} | ||
+ | |||
+ | {| class="SpreadSheet blue" | ||
+ | |+ <br />Descriptive Statistics | ||
+ | |- class="even" | ||
+ | ! Row 4 | ||
+ | ! | ||
+ | |- class="odd" | ||
+ | | Mean | ||
+ | | 12.5 | ||
+ | |- class="even" | ||
+ | | Standard Error | ||
+ | | 5.499999999999999 | ||
+ | |- class="odd" | ||
+ | | Median | ||
+ | | 12.5 | ||
+ | |- class="even" | ||
+ | | Mode | ||
+ | | #ERROR | ||
+ | | Standard Deviation | ||
+ | | 7.7781745930520225 | ||
+ | |- class="odd" | ||
+ | | Sample Variance | ||
+ | | 60.49999999999999 | ||
+ | |- class="even" | ||
+ | | Kurtosis | ||
+ | | NaN | ||
+ | |- class="odd" | ||
+ | | Skewness | ||
+ | | NaN | ||
+ | |- class="even" | ||
+ | | Range | ||
+ | | 11 | ||
+ | |- class="odd" | ||
+ | | Minimum | ||
+ | | 7 | ||
+ | |- class="even" | ||
+ | | Maximum | ||
+ | | 18 | ||
+ | |- class="odd" | ||
+ | | Sum | ||
+ | | 25 | ||
+ | |- class="even" | ||
+ | | Count | ||
+ | | 2 | ||
+ | |- class="odd" | ||
+ | | Confidence Level 95% | ||
+ | | 69.88412604896092 | ||
+ | |- class="even" | ||
+ | | Largest(2) | ||
+ | | 7 | ||
+ | |- class="even" | ||
+ | | Smallest(1) | ||
+ | | 7 | ||
|} | |} | ||
</div> | </div> | ||
− | + | == See Also == | |
+ | |||
+ | *[[Manuals/calci/COVAR | COVAR]] | ||
+ | *[[Manuals/calci/COVARIANCE | COVARIANCE]] | ||
+ | |||
+ | == References == | ||
+ | |||
+ | *[http://en.wikipedia.org/wiki/Descriptive_statistics] |
Revision as of 17:36, 21 January 2014
DESCRIPTIVESTATISTICS(Array, GroupBy, ConfidenceLevel, KthLargest, KthSmallest, 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 how the output should be displayed.
DESCRIPTIVESTATISTICS() calculates a range of statistical measurements and summarizes them into a table.
Description
DESCRIPTIVESTATISTICS(Array, GroupBy, ConfidenceLevel, KthLargest, KthSmallest, 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. 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.
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:B5,"Columns",95,1,1,TRUE) =DESCRIPTIVESTATISTICS(A2:B6,"Rows",95,2,1,TRUE)
DESCRIPTIVESTATISTICS() displays the respective output for above examples -
Column 1 | |
---|---|
Mean | 8.25 |
Standard Error | 0.9464847243000456 |
Median | 7.5 |
Mode | 7 |
Standard Deviation | 1.8929694486000912 |
Sample Variance | 3.5833333333333335 |
Kurtosis | 2.6154678204434845 |
Skewness | 1.6585238002878033 |
Range | 4 |
Minimum | 7 |
Maximum | 11 |
Sum | 33 |
Count | 4 |
Confidence Level 95% | 3.0121394744317427 |
Largest(1) | 11 |
Smallest(1) | 7 |
Column 2 | |
---|---|
Mean | 11.25 |
Standard Error | 2.358495283014151 |
Median | 9.5 |
Mode | 8 |
Standard Deviation | 4.716990566028302 |
Sample Variance | 22.249999999999996 |
Kurtosis | 1.9800530236081304 |
Skewness | 1.517345279919216 |
Range | 10 |
Minimum | 8 |
Maximum | 18 |
Sum | 45 |
Count | 4 |
Confidence Level 95% | 7.505791229205204 |
Largest(1) | 18 |
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 |