# Difference between revisions of "Manuals/calci/LEVENESTESTOLD"

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==Examples== | ==Examples== | ||

#LEVENESTESTOLD([[3067,2730,2840,2913,2789],[3200,2777,2623,3044,2834]],0.05,0) | #LEVENESTESTOLD([[3067,2730,2840,2913,2789],[3200,2777,2623,3044,2834]],0.05,0) | ||

+ | |||

+ | ==Related Videos== | ||

+ | |||

+ | {{#ev:youtube|81Yi0cTuwzw|280|center|Levene's Test}} | ||

==See Also== | ==See Also== |

## Latest revision as of 15:06, 6 December 2018

**LEVENESTESTOLD(xRange,ConfidenceLevel,NewTableFlag)**

- is the set of values for the test.
- 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

- This function used to test the Homogeneity of variances.
- Levene's test is used to test the Samples have equal variances.
- Equal variances across samples is called homogeneity of variance or homoscedasticity.
- To do the Levenes test we need the following assumptions:

1.The Samples from the populations are independent of one another. 2. The population under consideration are Normally Distributed.

- For three or more variables the following statistical tests for homogeneity of variances are commonly used:

1.Levene's Test. 2.Bartlett Test.

- Levene's test is an alternative to the Bartlett test.
- If the data surely is of normally distributed or nearly to normally distributed then we can use the Bartlett test.
- The Levene's test is defined as

. =Not all of the variances are equal.

- Normally there are three versions of the Levenes test.
- There are
- 1.Use of Mean.
- 2.Use of Median.
- 3.Use of 10% of Trimmed Mean.
- The Levene test statistic is:

.

- where is the result of the test.
- is the number of different groups to which the sampled cases belong.
- is the total number of cases in all groups.
- is the number of cases in the group.
- case from the group.

- Zij is satisfying the one of the following conditions:
- 1.,Where is the Mean of the subgroup.
- 2.,Where is the Median of the subgroup
- 3.,Where is the 10%Trimmed Mean of the subgroup.
- Levene's Testing Procedure:
- 1. checking the assumptions.
- 2.State the Null(H0) and alternative(H1) hypothesis.
- 3.Decide on the Significance level (α).
- 4.Finding the Critical value and Rejection Region.Here ,.
- 5.Compute the Levenes statistic using the formula.
- 6.Then decision of the value of the test statistic,W is falls in the rejection region or if p-value ≤ α, then reject .Otherwise, fail to reject . For the computation p-value we have to use the value of and .
- 7. Finally we have to conclude that the rejection of or fail to rejection according to the test statistic at the significance level.

## Examples

- LEVENESTESTOLD([[3067,2730,2840,2913,2789],[3200,2777,2623,3044,2834]],0.05,0)

## Related Videos

## See Also

## References