Download PDF by SAS Publishing: Using JMP Student Edition for Windows and Macintosh: the

By SAS Publishing

ISBN-10: 1607641909

ISBN-13: 9781607641902

Utilizing JMP pupil variation is the respectable consumer consultant for JMP pupil variation, the streamlined version of JMP for first 12 months facts scholars. truly written, with easytofollow, stepbystep directions, this booklet presents enticing illustrations and notion overviews. Chapters hide not just such JMP fundamentals as uploading facts, univariate and bivariate info research, but in addition extra complicated analyses together with a number of Regression, Time sequence, layout of Experiments, and quality controls. JMP scholar variation software program is obtainable from significant textbook publishers while packaged with their textbooks for direction use.

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14 Bivariate Popup Menu Show Points alternately hides or displays the points in the plot. It is often useful to first fit the mean as a reference line for other fits. The Fit Mean command adds a horizontal line to the plot at the mean of the response variable (Y). 15 Fit Commands The Fit Line command adds a straight-line fit to the plot using least squares regression. 15) has commands to save predicted values and residuals for the linear fit as new columns in the current data table. 3 The Fit Y by X Platform Scatterplots—The Continuous by Continuous Case 59 The Fit Polynomial command fits a polynomial curve of the degree selected from the Fit Polynomial submenu.

Std Error lists the estimates of the standard errors of the parameter estimates. They are used in constructing tests and confidence intervals. • t Ratio lists the test statistics for the hypothesis that each parameter is zero. It is the ratio of the parameter estimate to its standard error. 05 significance level. • Prob>|t| lists the observed significance probability calculated from each t ratio. It is the probability of getting, by chance alone, a t ratio greater (in absolute value) than the computed value, given a true hypothesis.

Prob>ChiSq is the probability of obtaining a Chi Square value greater than the computed sample Chi Square by chance alone when the sample standard deviation is not the hypothesized value. This is the p-value for observed significance of a one-tailed t-test. • Prob

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Using JMP Student Edition for Windows and Macintosh: the User's Guide to Statistics With JMP Student Edition by SAS Publishing

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