Difference between revisions of "Bartlett'sTest"
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(Created page with "<div style="font-size:25px">'''BARTLETTSTEST(DataRange,ConfidenceLevel,NewTableFlag)'''</div><br/> *<math>DataRange</math> is the array of x values. *<math>ConfidenceLevel</ma...") |
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* Bartlett's test is sensitive to departures from normality. | * Bartlett's test is sensitive to departures from normality. | ||
* That is, if the samples come from non-normal distributions, then Bartlett's test may simply be testing for non-normality. | * That is, if the samples come from non-normal distributions, then Bartlett's test may simply be testing for non-normality. | ||
| − | <math>B=\frac{df_WlnMS_W-\ | + | <math>B=\frac{df_WlnMS_W-\sum_{j} lns_j^2} |
Revision as of 07:30, 9 May 2017
BARTLETTSTEST(DataRange,ConfidenceLevel,NewTableFlag)
- is the array of x values.
- is the value from 0 to 1.
- is either TRUE or FALSE. TRUE for getting results in a new cube. FALSE will display results in the same cube.
is the array of x values.
is the value from 0 to 1.
is either TRUE or FALSE. TRUE for getting results in a new cube. FALSE will display results in the same cube.Description
- Bartlett's test is used to test if k samples are from populations with equal variances.
- Bartlett's test is sensitive to departures from normality.
- That is, if the samples come from non-normal distributions, then Bartlett's test may simply be testing for non-normality.
<math>B=\frac{df_WlnMS_W-\sum_{j} lns_j^2}