Difference between revisions of "Bartlett'sTest"
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! 1 | ! 1 | ||
| − | | 51 || | + | | 51 || 82 || 79 || 85 |
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! 2 | ! 2 | ||
| − | | | + | | 87 || 91 || 84 || 80 |
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!3 | !3 | ||
| − | | | + | | 50 || 92 || 74 || 65 |
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!4 | !4 | ||
| − | | | + | | 48 || 80 || 98 || 71 |
| + | |- | ||
| + | !5 | ||
| + | | 79 || 52 || 63 || 67 | ||
| + | |- | ||
| + | !6 | ||
| + | | 61 || 79 || 83 || 51 | ||
| + | |- | ||
| + | !7 | ||
| + | | 53 || 73 || 85 || 63 | ||
| + | |- | ||
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| + | |54 || 74 || 58 || 93 | ||
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Revision as of 08:25, 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.
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.
- B is the Bartlett's test static.
- is the pooled variance across all groups.
Result
- If p-value is greater than BCriticl value, reject the null hypothesis.
- Else retain null hypothesis.
Example
| A | B | C | D | |
|---|---|---|---|---|
| 1 | 51 | 82 | 79 | 85 |
| 2 | 87 | 91 | 84 | 80 |
| 3 | 50 | 92 | 74 | 65 |
| 4 | 48 | 80 | 98 | 71 |
| 5 | 79 | 52 | 63 | 67 |
| 6 | 61 | 79 | 83 | 51 |
| 7 | 53 | 73 | 85 | 63 |
| 8 | 54 | 74 | 58 | 93 |