Minitab Tools PDF

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Information on how to use MiniTab effectively ...

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Guide to Minitab Tools How to produce a Boxplot: Select: ‘Graph’ ‘Boxplot…’ Click on top ‘With Groups’ and ‘OK’ button In the white ‘Graph variables:’ window you need to select the column that has your numbers (quantitative data) in. You should see its header appear in the box on the left; double click on it to select it. In ‘Categorical variables:’ (click in to this window) you need to select the column that has your labels (qualititative data) in. You should see its header appear in the box on the left; double click on it to select it. Then click ‘OK’ button

How to find the Summary Statistics (mean, standard deviation etc.): Select: ‘Stat’ ‘Basic Statistics’ ‘Display Descriptive Statistics’ In the white ‘Variables:’ window you need to select the column that has your numbers (quantitative data) in. You should see its header appear in the box on the left; double click on it to select it. In ‘By variables..:’ (click in to this window) you need to select the column that has your labels (qualititative data) in. You should see its header appear in the box on the left; double click on it to select it. Then click ‘OK’ button

How to produce the ‘Graphical Summary’ (note that you can get 95% Confidence Intervals from this): Select: ‘Stat’ ‘Basic Statistics’ ‘Graphical Summary…’ In the white ‘Variables:’ window you need to select the column that has your numbers (quantitative data) in. You should see its header appear in the box on the left; double click on it to select it. In ‘By variables..:’ (click in to this window) you need to select the column that has your labels (qualititative data) in. You should see its header appear in the box on the left; double click on it to select it. Then click ‘OK’ button Graphical Summary gives you lovely histograms and the confidence interval for the mean in the 95% Confidence Interval for Mean section.

How to do an Independent samples t test Select: ‘Stat’ ‘Basic Statistics’ ‘2-Sample t…’ In the white ‘Samples:’ window (may need to click into it) you need to select the column that has your numbers (quantitative data) in. You should see its header appear in the box on the left; double click on it to select it. In ‘Sample IDs:’ (click in to this window) you need to select the column that has your labels (qualititative data) in. You should see its header appear in the box on the left; double click on it to select it. Then click ‘OK’ button

How to do a Paired t test Select: ‘Stat’ ‘Basic Statistics’ ‘Paired t…’ In the white ‘Sample 1:’ window (may need to click into it) you need to select the first column that has your numbers (quantitative data) in. You should see its header appear in the box on the left; double click on it to select it. In the white ‘Sample 2:’ window (may need to click into it) you need to select the first column that has your numbers (quantitative data) in. You should see its header appear in the box on the left; double click on it to select it. Then click ‘OK’ button

Guide for One-way ANOVA in Minitab Select ‘Stat’ ‘ANOVA’ ‘One-Way’

For ‘Response’ click in white window and double click on the header which has your quantitative (numbers) data in, this should be listed on the left.

For ‘Factor’ click in white window and double click on the header which has the header name for your factor in (e.g. gender, treatment, diet type, etc.) (if you want to include Tukey’s analysis, also click the ‘Comparisons’ button, tick the Tukey box and click ‘OK’. Click ‘OK’ to get the ANOVA results, Post Hoc Tukey’s results will be included if you selected it. There is a lot of output but you can identify the bits you need from the lecture notes (Powerpoint).

Guide for Checking Assumptions in Minitab

Checking Normality

Select ‘Stat’ ‘Basic Statistics’ ‘Graphical Summary’

For ‘Variables’ click in white window and double click on the header which has your quantitative (numbers) data in, this should be listed on the left.

For ‘By variables’ click in white window and double click on the header which has the header name for your factor in (e.g. gender, diet type Treatment Group, etc.) A window will be produced for each group. You need to check the following for each: In the top right, ‘Anderson Darling’ section, check the p value. If it is greater than 0.05, the data is fine and has passed the Normality Test.

Checking Equality of Variances

Select ‘Stat’ ‘ANOVA’ ‘Test for Equal Variances’

For ‘Response’ click in white window and double click on the header which has your quantitative (numbers) data in, this should be listed on the left.

For ‘Factors’ click in white window and double click on the header which has the header name for your factor in (e.g. gender, diet type, etc.)

In the top right of the resulting window, see ‘Levene’s Test’, if the p value is greater than 0.05, the data is fine, it passes the equality of variances assumption....