6/4/2023 0 Comments Minitab probability plotWith the Annotation button you can give a titleto the graph and label the axes, with the Frame buttonyou can set the minimum and maximum x and y values for the axes.The Data display options are used for having different groups of points (data for males & females, perhaps) plotted with different symbols: You must have a column thatindicates which group each row comes from (might be column fullof M's and F's). You must specifythe variables for the vertical (response - y) and horizontal (predictor/explanatory- x) axes by moving the cursor to the correct box (with mouseor tab key) and either typing them in or double-clicking on yourchoices. The data values are onthe horizontal axis, the percentile labels (rather than z-values)are on the vertical axis (the spacing is arranged to match equalspacing of z-values).The "percentile" table in the Sessionwindow shows where the percentiles would be if the data were normally distributed (with the same mean and standarddeviation) Select the variable, leave the distribution choiceas "Normal".The graph will print with "confidencebands" around the 45-degree line. Normal probability plots: Use Graph>ProbabilityPlot. The variableto be plotted goes in Y - so the boxplot will be drawn vertically.If several side-by-side boxplots (for categories) are desired,the values must be stacked in one column, with a second columncontaining an index identifying the category from which each valuecomes. Any options you set will remain inplace for your session (until you Exit Minitab) unless youchange them.īoxplots: Use Graph>Boxplot. The number of classes or the values for eitherthe midpoints or the cutpoints. Whether the bars arelabeled by the class midpoints or cutpoints (classlimits) 3. the type of histogram (frequency,relative frequency, cumulative, etc.) 2. The Annotationbutton will let you write a title for your histogram. Select thevariable(s) by double-clicking in the list. For information on saving the results, see VI.Saving and printing your work A: The graphs you may want You can also get somewhat clunkygraphs drawn in the Session window (so they print with the sessionwindow) using the Character graphs commands (There is a Character graphs submenu at the bottom of the Graphmenu). Minitab produces two general types of graphs: the standardgraphing commands produce High resolution graphs whichuse graphics drawing methods and appear in special graph windows(but are not attached to the session file - so they have to besaved and printed separately). Nam lacinia pulvinar tortor nec facilisis.Minitab:Graphs Introduction to MINITAB in the Saint Mary's MicrocomputerLab IV. Nam lacinia pulvinar tortor nsectetur adipiscing elitsssectetur assssectetur ad sectetur adipiscing elit. Fusce dui lectus, congue vel laoreet ac, sectetur adipiscing elit. Nam risus ante, dapibus a molestie consequat, ultrices ac magna. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus efficisectetur adipiscing elit. Nam lasectetusectetur adipiscing e sectetur adipiscing elit. Nasectetur adipiscing elisectesectetur adsectsectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisisectetur adipiscing elit. Nam lacinia pulvina sectetur adipiscing elit. Hint: The coefficient of determination = (Pearson's r)_ Compute the coefficient of determination (R 2) for the relationship between flipper length and body mass. Specifically, is there evidence of a linear relationship between flipper length and body mass in the population of all Gentoo penguins?Ĥ. Complete these steps by filling in the blanks:īecause the p-value is _, which is _ (less OR greater) than an alpha level of 0.05, we _ (reject OR fail to reject) the null hypothesis.ģ.State a "real world" conclusion (given your answer to Step 4 above) Decide to reject or fail to reject the null hypothesis. Steps 3 and 4: Per your Minitab results, provide the p-value. Per your Minitab results, what is the correlation test statistic (Pearson's r )? _Ģ. Correlation: flipper_length_mm, body_mass_gġ.
0 Comments
Leave a Reply. |