#Chi square test minitab how to#
#Chi square test minitab license#
#Chi square test minitab series#

Residual plots - Stat > Regression > Regression > Graphs Simulation Generating Random Numbers - Calc > Random Data Probability Calculations Any Probability Distribution - Graph > Probability Distribution Plot Binomial Distributions - Calc > Probability Distributions Binomial Probability - P(B=b)Ĭumulative Probability - P(B Probability Distributions Uniform Probability Density - height of probability density curveĬumulative Probability - P(U Probability Distributions Normal Probability Density - height of probability density curveĬumulative Probability - P(Z Random Data Confidence Intervals and Hypothesis Tests Confidence Intervals and Hypothesis Tests for a Population Mean Stat > Basic Statistics > 1-Sample t Confidence Intervals and Hypothesis Tests for a Population Median Stat > Nonparametrics > 1-Sample Sign 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. Scatterplot with regression line - Stat > Regression > Fitted Line Plot Prediction and assessing the fit Fitted values and residuals - Stat > Regression > Regression > Storage > Fits and Residuals

#Chi square test minitab series#

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 Normal Distributions Calculations - Calc > Probability Distributions Normal Probability Density - height of probability density curveĬumulative Probability - P(Z Standardize Evaluating Normality - Graph > Probability Plot Association and relationship between 2 quantitative variables Scatterplots - Graph > Scatterplot

#Chi square test minitab license#

Content produced by OpenStax College is licensed under a Creative Commons Attribution License 4.0 license.Minitab Commands Summary of Minitab Commands Graphical Displays Bar Graphs - Graph > Chartīoxplots - Graph > Boxplot Describing and Summarizing Data Mean, trimmed mean, median, standard deviation, quartiles,

11.E: The Chi-Square Distribution (Optional Exercises) These are homework exercises to accompany the Textmap created for 'Introductory Statistics' by OpenStax.īarbara Illowsky and Susan Dean (De Anza College) with many other contributing authors.

11.E: F Distribution and One-Way ANOVA (Optional Exercises) These are homework exercises to accompany the Textmap created for 'Introductory Statistics' by OpenStax.These are homework exercises to accompany the Textmap created for 'Introductory Statistics' by OpenStax.

#Chi square test minitab how to#

11.3.4: How to Use Microsoft Excel® for Regression Analysis.11.3.2: The F Distribution and the F-Ratio.A consumer looking for a new car might compare the average gas mileage of several models. To see an example, go to Minitab Help: Example of Cross. For example, an engineer wants to determine how many defective parts were created on different production lines during each shift. A sociologist is interested in knowing if the amount of income a person earns varies according to his or her upbringing. The chi-square test of independence, also known as the chi-square test of association, is found within the Cross Tabulation and Chi-Square tool in Minitab. For example, an environmentalist is interested in knowing if the average amount of pollution varies in several bodies of water. 11.3: Prelude to F Distribution and One-Way ANOVA Many statistical applications in psychology, social science, business administration, and the natural sciences involve several groups.11.2.3: Comparison of the Chi-Square Tests.

The null and the alternative hypotheses for this test may be written in sentences or may be stated as equations or inequalities. You use a chi-square test (meaning the distribution for the hypothesis test is chi-square) to determine if there is a fit or not. For example, you may suspect your unknown data fit a binomial distribution.

11.1: Goodness-of-Fit Test In this type of hypothesis test, you determine whether the data 'fit' a particular distribution or not.

11.0.1: Facts About the Chi-Square Distribution.

This distribution is called the chi-square distribution.

11.0: Prelude to The Chi-Square Distribution You will now study a new distribution, one that is used to determine the answers to such questions.