The average value for a variety of tests, for example, by analysis of variance.A comparative study and monitor which features a feature of data from 3 or more different or not different, and if so how, considering different means of glass.The statistic used to test the difference between the average values for groups, for example, is an analysis of variance (ANOVA Analysis of Variances:)Analysis of variance, or ANOVA is the way top get yo that statistical method used for studying the relationship between the two types of variables (Dependent) variable and an independent variable (the Independent), using the free variables are output break into groups to test how each of the different groups that make up the average of the variable. Sometimes called independent variables that factor (Factor).This type of analysis of variance1. a resolution one way analysis of variance (One-Way ANOVA).As an analysis of the variance that is applied to data obtained from classified or grouped by using a single criterion or factor only.2. a seamless two-way ANOVA (Two-Way ANOVA).As an analysis of the variance that is applied to data obtained from classified or grouped using two criteria or factors.3. multiple classification ANOVA designs (Multi-Way ANOVA).As an analysis of the variance that is applied to data obtained from classified or grouped using three or more criteria or three or more factors.How to break a 2-way ANOVA1. the parametric ANOVA method 2. analysis of variance by non parametric method. An analysis of variance model parametric characterization.The attributes of the data requires the following:1. each group will have to come from a population that is distributed or the variance is not a statistical difference. 2. each of the selected Subsegment use comes from a population with a normal distribution. 3. the sample selected from each group should be autonomous. For example, Researchers want to test a type of manufactured product prices from manufacturers that use different brands of 4 brands that are sold in various stores.The brand is an independent variable is used to divide the group.Prices are variable according to the average.Define statistical hypothesisH0: the average price of each item is not different brands or H0: µ 1 = µ µ µ 2 = 3 = 4.H1: the average price of each different brand or H1: ≠ ≠ j µi µj for i.If you accept the assumption that the average loan value of 4 different brands, price, but if it does not reject the hypothesis that indicates that there are at least two different brands, prices on average, but could not say where some of the different brands. If you want to say, there are two brands which mean different prices. The following tests must be carried out by means of a comparison of the multiples (Multiple Comparison Test).Using a variety of parametric test average. Must complete two steps.1. use the check attributes of information 2. use a classified one way ANOVA parametric model. The program checks the properties of the data.1. open the DATA14A.sav file. 2. Select Descriptive Statistics-Analyze-> menu > Explore.
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