"Minitab Cookbook" is a great reference on how to create graphs, generate P-values, and how to put data in order.
You will explore the use of non-linear regression, how to construct complex ANOVAs, and even delve into Multivariate statistics. In this book, you will learn how to use data from different sources and will be guided through the basics of graphs as well as the basics of hypothesis tests. This book will be hugely beneficial for anyone who knows what statistics or studies they want to run, but who is unsure about just what button to press or what option to select. "Minitab Cookbook" will take the mystery out of using Minitab and will simplify the steps to produce great results. Correctly using Minitab's statistical tools is an essential part of good decision making and allows you to achieve your targeted results, while displaying fantastic charts and a powerful analysis will also communicate your results more effectively. Minitab has been a statistical package of choice across all numerous sectors of industry including education and finance. Using equivalence tests to prove zero difference between the mean and a targetĬalculating the sample size for a 1-Sample equivalence test Using the Assistant menu to run a 2 Proportions testįinding the sample size to estimate a mean to a given margin of error Using the Power and Sample Size tool for a 2 Proportions test Testing two population proportions with the 2 Proportions test Using the Power and Sample Size tool for a 1 Proportion test Graphically presenting the 1 Proportion test Using the Assistant menu to run the 2-Sample t-testįinding critical t-statistics using the probability distribution plotįinding correlation between multiple variables Using the Power and Sample Size tool for a 2-Sample t-test Looking for differences in the population means between two samples with a 2-Sample t-test Using the Assistant menu for a 1-Sample t-test Using the Power and Sample Size tool for a 1-Sample t-test
Checking if data follows a normal distributionĬomparing the population mean to a target with a 1-Sample t-test
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