Characteristic use of the crosstab are the data input or the nominal scale ordinal, such as tabulation between gender a person with a level of education person, a person's employment with the attitudes of those with a particular product, and others. Actually, the data metric (interval or ratio) in principle can also be done crosstab. Only on data metric, there is the possibility of data has a decimal, such as the length of 1.25 meters, 1.26 meters long, 1.27 meters long, and so on. all have different values that have made a lot of columns; it can be place the number of rows or columns to be effective and not so much to describe the data. For that manufacturing metrics data crosstab
usually seen 'content' data first. In practice, making crosstab can also be accompanied by counting the closeness of the relationship (association) antarisi crosstab. Statistical tools often used to measure the association on a crosstab chisquare. This tool can be applied in statistical practice to test any the relationship between the rows and columns of a crosstab. In addition to chi square, several other test tools are popular Kendall, Kappa, and so.
usually seen 'content' data first. In practice, making crosstab can also be accompanied by counting the closeness of the relationship (association) antarisi crosstab. Statistical tools often used to measure the association on a crosstab chisquare. This tool can be applied in statistical practice to test any the relationship between the rows and columns of a crosstab. In addition to chi square, several other test tools are popular Kendall, Kappa, and so.
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