LabWriteUp is a report writing application for students and researchers in science

 

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2 x 2 Chi-square

Choose 2 x 2 Chi-square as the analysis and select the two variables for the test (use 'Ctrl' key while clicking on each of the two variable names). In this example, some of the participants were regular coffee drinkers and some claim never to drink cofee. They were given samples of coffee to drink that varied only in the amount of caffeine they contained. They then had to choose which brand they preferred the taste of. To present the analysis, choose 2 x 2 Chi-square as the analysis and select the two variables for the test (use 'Ctrl' key while clicking on each of the two variable names). Enter the significance level of the analysis, by either entering the p value or by choosing one of the buttons, from 'p > .05' to 'p < .001'. Click 'Next'.

Enter the observed counts in each of the cells - long cell lables may not be fully visible; but the column widths can be changed by dragging their border:

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When you select 'Save and Preview' you can see the textual description of the analysis that LabWriteUp generates:

Note that a value of Cramer's V is produced; this value is an effect size of the difference between the cells. You can also plot a histogram of the frequencies:

Next >> r x 2 Chi-square

 

A 2 x 2 Chi-square test is used for nominal data, such as frequencies, when there are two independent variables, each with two levels.