By default, an Anderson-Darling test for normality is performed and the numerical results are displayed with the graph. You can also use a Ryan-Joiner test (similar to a Shapiro-Wilk test) or a KolmogorovSmirnov test. The values must be between 0 and 100 when percents are used as the y-scale type or 0 to 1 when probability is the yscale type. Minitab marks each percent in the column with a horizontal reference line on the plot, and marks each line with the percent value. Minitab draws a vertical reference line where the horizontal reference line intersects the line fit to the data, and marks this line with the estimated data value. Use DVALUE to show the percents at the reference x-scale positions. There are 3 types of goodness-of-fit test: a chi-square based test, an ECDF based test, and a correlation based test. By default, Minitab uses the AndersonDarling test, which is an ECDF based test. Use RJTEST to perform a RyanJoiner test, which is a correlation based test use KSTEST to perform a Kolmogorov-Smirnov test, which is a chi-square based test. When your -value is larger than the p-value displayed with the graph, you should reject the hypothesis of normality. The -value (also known as the significance level), is the probability that you will reject the hypothesis of normality when the hypothesis is true. For example, if you are using an -value of 0.10 and the p-value displayed in the Graph window is 0.07, then you would reject the hypothesis of normality at the 0.10 level. Use TITLE to specify a title for the graph. When you omit this subcommand, Minitab displays a default title. Use GSAVE to save the graph in a Minitab Graphics Format (MGF) file.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |