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Explain analysis of variance, multivariate statistics

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Explain analysis of variance, multivariate statistics, and non-parametric methods.

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1. Explain analysis of variance, multivariate statistics, and non-parametric methods

1. Analysis of variance

An analysis of variance is an analysis of the variation in the outcomes of an experiment to assess the contribution of each variable to the variation. It is a technique for analyzing the effect of categorical factors on a response. An ANOVA decomposes the variability in the response variable amongst the different factors. Depending upon the type of analysis, it may be important to determine: (a) which factors have a significant effect on the response, and/or (b) how much of the variability in the response variable is ...

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The expert explains the analysis of variance for multivariate statistics.

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Explains the analysis of variance, multivariate statistics, and non-parametric methods

Company W is testing a sales software. Their salesforce of 500 people is divided into four regions: Northeast, Southeast, Central and West. Each sales person is expected to sell the same amount of products. During the last 3 months, only half of the sales representatives in each region were given the software program to help them manage their contacts.
The VP of Sales at WidgeCorp, who is comfortable with statistics, wants to know the possible null and alternative hypotheses for a non-parametric test on this data using the chi-square distribution. A non-parametric test is used on data that is qualitative or categorical, such as gender, age group, region, and color. It is used when it doesn't make sense to look at the mean of such variables.

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