To perform a simple correspondence analysis in Minitab, choose Stat > Multivariate > Simple Correspondence Analysis. Simple correspondence analysis can detect associations in contingency tables that categorize data by more than two variables. In the previous voting example, you could also classify the responses by employment status as follows: Buy Introduction to Data Analysis Using Minitab for Windows - With CD 3rd edition (9780131497832) by Kathleen McLaughlin and Dorothy Wakefield for up to 90 off at. You can categorize observations by three or more variables by "crossing" them. The simplest contingency tables are two-way tables that tally the responses by two variables. For example, you could test whether an association exists between gender and vote. Use a chi-square test or Fisher's exact test to determine whether the observed counts differ significantly from the expected counts under the null hypothesis of no association.
Also, the grand total shows that the sample size is 100.Ĭontingency tables can also reveal associations between the two variables. Marginal totals for columns show that 67 respondents voted for Candidate A. The marginal totals for the rows show that 52 of the respondents were female. The table also includes marginal totals for each level of the variables. For example, n 1,2 displays the number of male respondents who voted for Candidate B. The count at the intersection of row i and column j is identified by n ij, and it represents the number of observations that exhibit that combination of levels. This contingency table tallies responses by gender and vote. The tables' rows and columns correspond to these categorical variables.įor example, after a recent election between two candidates, an exit poll recorded the gender and vote of 100 random voters and tabulated the data as follows: The Central Limit Theorem and the Sampling Distribution of the Sampling Meanĩ.A contingency table is table that tallies observations by multiple categorical variables. Measures of Central Tendency and Variationħ. Minitab Software/CD notincluded with manual.ģ. All the data sets used in the lessons are saved on the included data CD as MINITAB Worksheets (*.MTW).
Users of the Student Version of MINITAB may find some slight differences in the procedures. This is followed by a computer assignment in which students can practice the techniques that they have learned in the chapter.Īll instructions and diagrams in the manual were developed using MINITAB Release 14. Since MINITAB does all the computation, students can concentrate on selecting the appropriate statistical method and can focus on understanding and interpreting the results.Įach chapter has an instructional section which summarizes a basic statistical concept. The lessons are self-explanatory and explore topics that are covered in all elementary texts. The purpose in writing this manual is to provide some simple examples of basic statistical techniques so that students can see that statistics is more than just a long list of mind-boggling formulas. The MINITAB lab manual is designed to be used with any Elementary Statistics textbook.
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