To perform a two-sample variance test in Excel, arrange your data in two columns, as shown below. Download the CSV file that contains the data for this example: VariancesTest. In Excel, click Data Analysis on the Data tab. From the Data Analysis popup, choose F-Test Two-Sample for Variances. The Selling data for Samsung and Lenovo mobile phones are shown in the following data. [ Download Complete Data] Step by Step Levene's Statistic Test of Homogeneity of Variance Using SPSS 1. Open the new SPSS worksheet, then click Variable View to fill in the name and research variable property. The provisions are as follows: Variable "Brand This paper explains 14 representative HOV tests for 5 types of research situations and concludes with a conceptual summary of four major approaches to HOV testing. Homogeneity of variance (HOV) is a major assumption underlying the validity of many parametric tests. More importantly, it serves as the null hypothesis in substantive studies that focus on crossor within-group dispersion. Despite a 10.8: Homogeneity of Variance. Before wrapping up the coverage of independent samples t-tests, there is one other important topic to cover. Using the pooled variance to calculate the test statistic relies on an assumption known as homogeneity of variance. In statistics, an assumption is some characteristic that we assume is true about our data Cochran's C test. In statistics, Cochran's C test, [1] named after William G. Cochran, is a one-sided upper limit variance outlier test. The C test is used to decide if a single estimate of a variance (or a standard deviation) is significantly larger than a group of variances (or standard deviations) with which the single estimate is supposed In SPSS, ANOVA with the Brown-Forsythe option selected gives you the equality of means test. For Brown-Forsythe variance test the following programs do this: In SAS; hovtest The HH library in R; hovBF, The lawstat library you can specify using median or mean; levene.test (measurements,category,location="median") = Brown-Forsythe variance levene Listed under the Options header are additional output options including Compute Tukey HSD and to Test homogeneity of variance. Select the Compute Tukey HSD to create simultaneous confidence intervals for the pairwise differnces between means. For the Level input, enter 0.90 to compute 90% confidence intervals and click Compute!. At the bottom Normality means that the distribution of the test is normally distributed (or bell -shaped) with 0 mean, with 1 standard deviation and a symmetric bell shaped curve. Assumptions of Homogeneity of Variance: The assumption of homogeneity of variance is that the variance within each of the populations is equal. QsH6f.