![]() ![]() Note that B is not correct keeping the number of radios and TV sets the same is used in the interpretation of the coefficient of newspaper copies and is different than the phrase after accounting for the effects of the number of radios and number \of TV sets in the country.)/CreationDate(D:20091015144626-07'00')/F 28/M(D:20091015150302-07'00')/NM(fcd9ab47-f370-4756-8226-0f8a0633d196)/Name/Help/P 21 0 R/Popup 665 0 R/RC(Ĭ. )/Rect/Subj(Revealed:)/Subtype/Text/T(The Answer Is)/Type/Annot>endobj661 0 objendobj664 0 obj/C/Contents(C. But\, remember that we’ll stop eliminating variables once all remaining variables have p-values less than 0.05, which is the case here. ![]() A is not correct because it is possible that a backwards selection process will eliminate all variables. But, remember that well stop eliminating variables once all remaining variables have p-values less than 0.05, which is the case here. There are only 2 explanatory variables left in the model, so the degrees of freedom for the t-tests = 10 – 2 – 1 = 7. Stat > Nonparametrics > Mann-Whitney Confidence intervals and hypothesis tests for paired data Stat > Basic Stats > Paired tįorm differences (post-pre, before-after, second-first, etc.) and then use the one sample procedures on the differences.Recall, the degrees of freedom for the t-test is DFE = n – v – 1. Stat > Basic Statistics > 2-Sample t Confidence intervals and hypothesis tests for two medians ![]() Stat > Basic Statistics > 1-Sample t Confidence intervals and hypothesis tests for one median Stat > Nonparametrics > 1-Sample Sign Confidence intervals and hypothesis tests for two means Stat > Basic Statistics > 1 Sample Z (not realistic) Stat > Basic Statistics > 2 Proportions Confidence intervals and hypothesis tests for one mean Stat > Basic Statistics > 1 Proportion Confidence intervals and hypothesis tests for two proportions Stat > Regression > Fitted Line Plot Generating Random Numbers - Calc > Random Data Any Probability Distribution - Graph > Probability Distribution Plot Binomial Distributions - Calc > Probability Distributions > BinomialĬumulative Probability - P(X Probability Distributions Geometric Poisson Distributions - Calc > Probability Distributions Poisson Negative Binomial Distributions - Calc > Probability Distributions Negative Binomial Confidence intervals and hypothesis tests for one proportion Residual plots - Stat > Regression > Regression > Graphs Nonlinear Relationships Scatterplot with regression line - Stat > Regression > Fitted Line Plot Prediction and assessing the fitįitted values and residuals - Stat > Regression > Regression > Storage > Fits and Residuals Time plots - Graph > Scatterplot OR Graph > Time series plot Measuring the strength of association Pearson's Correlation - Stat > Basic Statistics > Correlation Fitting a line to data Least squares regression line - Stat > Regression > Regression Scatterplot Smoothing - Graph > Scatterplot > Data View > Smoother > LOWESS Stat > Basic Statistics > Display Descriptive StatisticsĬreating New Variables - Calc > Calculator Standardizing a variable: z-ScoresĬalc > Standardize Association and relationship between 2 quantitative variables Mean, trimmed mean, median, standard deviation, quartiles, 5 number summary Minitab Commands Summary of Minitab Commands Graphical Displays Bar Graphs - Graph > Chartīoxplots - Graph > Boxplot Describing and Summarizing Data ![]()
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