Under Columns containing the table, input column " C2 Yes" and column " C3 No". Select Summarized data in a two-way table from the dropdown. Select C1 as the input column.Ĭlick OK and the probability will appear in the Session window.Ĭhoose Stat, Tables, and Chi-Square Test for Association. Select Cumulative probability and enter the number for Degrees of freedom. Select C1 as the input column.Ĭlick OK and the critical value will appear in the Session window.Įnter the Chi-Square value in the first row of column C1. Go to Calc, Probability Distributions, Chi-Square.Ĭhoose Inverse cumulative probability and enter the number for Degrees of freedom. If the area we are given is to the right of the critical value, we must first determine the area to the left by calculating (1-area to the right).
(Alternatively, Cumulative Probability)Ĭomplete the dialog box with Number of trials – " 12", Event probability – " 0.1", Input column – " x", and Optional storage – " p( x)".Įnter the area to the left of the desired critical value in the first row of column C1. Press Calc, Probability Distributions, and Binomial.ĭesignate Probability. Set up the worksheet in C1 and C2 as shown below. Select OK.īinomial Distribution Binomial Probability Distribution Use select to input C1 as Responses and C2, C3 as Factors. Under Stat, choose ANOVA, then General Linear Model, then Fit General Linear Model…. Enter the row numbers into C2 and the column numbers into C3. Press OK again.Įnter all the data into C1, one column at a time. Observe the results of Fisher's LSD test.Ĭlick on Comparisons and check the box for Tukey and for Tests. Press OK.Ĭlick on Comparisons and check the box for Fisher and for Tests. Select Options and enter the desired Confidence level. Enter the corresponding data value in Column C2.Įnter the data for the Response and the categories for the Factor. One-way ANOVA: C1, C2, C3 Method Null hypothesisĮqual variances were assumed for the analysis.Įnter the category labels in Column C1. Highlight the appropriate columns in the box on the left. In the dropdown select Response data are in a separate column for each factor level.Ĭlick the mouse in the box labeled Responses. Test for dependence between gender and goal for elementary school students.Enter the data for the different groups into separate columns.Run the test and paste the results here.State the null and alternative hypotheses.Test for dependence between location and goal for elementary school students.To run the Chi Square test of independence, Click Chi‐square and check the options as shown. Run these tests at a significance level of 5%. Use the MINITAB command Stat>Table > Crosstabulation.
Highlight columns that contain the table. Paste the results here.įor questions 3 and 4, the popular data starts in column 9. Conduct the test at a significance level of 1%, using MINITAB command: Stat>Table > Crosstabulation/Chi Square. The table above has been entered in columns 4 to 7 of the Minitab file.
State the null and alternative hypotheses.
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