Select your variable in the Select Columns box. Note: The data used is from Section 3.3 Exercise 9 of Discovering Statistics and Data. Note: JMP calculates confidence intervals for proportions using the score method. If your confidence level is not present, select Other and then type your confidence level.
Select Confidence Interval, and then your confidence level. Select the Red Triangle beside your variable name. Select your Frequency column and click Freq. In the window that opens, click One Sample Mean.Įnter your α-level (default value is 0.05) in the box Alpha, standard deviation in the box Std Dev, margin of error in the box Difference to detect, and 0.5 in the box Power. Under DOE, click Design Diagnostics, and then Sample Size and Power. Note: The second row (labeled “Pearson”) under Test in the output corresponds to the methods used in the texts. Select Test Probabilities.Įnter the claimed probabilities (Expected) under Hypoth Prob. Select your Actual Frequency (Observed) column and click Freq. Note: The second row (labeled “Pearson”) under Tests in the output corresponds to the methods used in the texts. Click the name of the column containing your frequencies in the Select Columns box and click Freq. Click the name of your second variable in the Select Columns box and click X, Factor. Name the columns as appropriate.Ĭlick the name of your first variable in the Select Columns box and click Y, Response. Select Run.Ĭhi-Square Distribution Test for AssociationĮnter the data into the table. Highlight the names of your data in Column 2 and Column 3 at the same time in the Select Columns box. Label the columns as fitting.Ĭlick on the name of your data in Column 1 in the Select Columns box and click Y. Repeat this step to add a third column.Įnter the row names into Column 2 and the column numbers into Column 3. In the New Column window that opens, click the dropdown beside Modeling Type. In the window that opens, click on the Red Triangle and select Means/Anova. Click on the name of your data in Column 2 in the Select Columns box and click X, Factor. Label the columns as fitting.Ĭlick on the name of your data in Column 1 in the Select Columns box and click Y, Response. Select OK.Įnter the groups into Column 2 for each data value. Enter all of the data into Column 1, one column at a time.
0 kommentar(er)
