Minitab Statistics Video Lectures Beginners Videos Advanced Videos Applications Related Stuff Projects Practice Exam Help Return to Minitab Course Materials Updated 1/2/22 Please link to, use to educate and Share
 Beginners Videos Introduction to Mini Analyzing Data Confidence Intervals Hypothesis Testing Regression Advanced Videos Tips and Tricks 4 min Improve Efficiency 13 min Experimental Design 6 min Bad Data 35 min Exam Help 1. Problems & Solutions     2. Statistics Reviews 3. Test Prep Related Stuff 1. Research Project Help   2. Statistics Internet Library  3. Free Statistics Textbook   5. Statistics Internet Library  Try Our Free  Quick Notes Statistics textbook  New pdf version
 Prelude Use Statistics 101 Videos  to review difficult concepts Analyzing Data Analyzing Data 9:57 Data types, copying, coding, subsetting data  5:05 Recoding Numeric Data to Unstacking Texts 4:25 Sampling Methods  6:42  Graphing Data 9:52 Histogram 6:03 Please Research Paper Internet Library Statistics for the Behavioral Sciences Battlefield Reflections of a Life-Long Statistic Teacher Regression is a special application of inferential statistics. Regression Analysis  3:21 Regression in a general linear model 3:23 Regression 6:53 Simple Linear Regression 6:34 Correlation and Regression   Correlation Analysis  0:47 Ranking Data 2:46 AP, SAT Test Prep test and strategy help   Hypothesis Testing a logical approach to inferential statistics. What is a P-Value? 5:56 A P-Value Example 9:08 Student's t-Test 9:07 What is Statistical Power? 3:59 Degrees of Freedom in Statistics 4:17 Looking up p-values in Minitab 5:40   Hypothesis Test for One Mean  1:04 Two Independent Means small sample t-test 8:56 VARIANCE ANALYSIS PART I  9:21 ANOVA B Interpretation and  9:20 One Way ANOVA 2:55 Basic two-way ANOVA 7:33   Inference for Medians Mann Whitney 5:18 Nonparametric Tests Three or More Medians 2:15   Control Charts 8:09 Writing Macros 7:19 AutoCreate a Script 1:42
 Author's Note These are very old but the problems, and data maw be useful and  Quick Notes Statistics is Free on the Internet. MiniTabTM Practice Set Instructions and Answers For use with Quick Notes Statistics, although instructions may be used with any statistics book. MinitabTM Generic Instructions may also be helpful to new users. Special Note: These instructions were prepared for use with MINITAB 11. People using other versions should be prepared to make minor adjustments to these directions. 3) Data sets for all problems are in our Excel Statistics Book for use with SPSS. Use aprilblackie to load data. Part I Descriptive Statistics Chapter 2 Summarizing Data Problem I message: MINITAB will do an array. Find the appropriate number of classes for question 2 frequency distribution by hand. Those using Quick's worksheet should load Mini006 by choosing File and Open Worksheet. Use the down arrow next to the Look in box to locate and click on A:. Double click on Datamini. Load the page 6 data by double clicking on Mini006. Others must create a worksheet for CD Sales. You may want to review creating a data file on page 1 of Quick Start for MINITAB located at http://businessbookmall.com. I named my data file Mini006 for the software being used and the problem page number. The worksheet must also contain an Array variable to be filled in later. All MINITAB users should choose Manip and Sort. Highlight CD Sales and use Select to copy it into the Sort column(s) box. Put the cursor in the Store sorted column(s) in box, highlight Array, and use Select to copy Array into said box. Repeat this process to copy CD Sales into the Sort by column box and choose OK. See page PS 6 and 7 for the answer. Problem II message: We will do a frequency distribution similar to the one on page PS 6 of Quick. Those using Quick's worksheets should load worksheet Mini006. Others must add to their page 6 worksheet by adding a Group variable containing frequencies 1, 2, 5, 2, and 1. All MINITAB users should choose Stat, Tables, and Tally. Copy CD Sales and Group into the Variables box using Select. This may also be done by double clicking on each variable. Check all the items under Display, and choose OK. Both grouped and ungrouped Frequency Distributions appear. Some of these questions must be done by hand. All MINITAB users should choose Graphs and Histogram. Double click on CD Sales and use Select to copy it into the Graph variables box. Choose Options and accept the default Frequency. Other charts should be viewed later. Check Cut Point. Check Midpoint/cutpoint positions under Definition of Interval and enter 5 10 15 20 25 30 in the box. Each number should be separated by a space. Choose OK twice. Using Graphs is easy. To save the current graph choose File and Save Window As. Type Mini006a in the File name box and MINITAB will add mgf as an extension. The file Mini006a.mgf will be stored on the A drive. This file can be used by choosing File and Open Graph. To print an open graph choose File and Print Window. Print Setup is located under File of the main menu. Chapters 3 and 4 Measuring Central Tendency and Dispersion of Ungrouped Data Problems message: MINITAB will calculate many of these statistics. Those using Quick's worksheets should load Mini006 by choosing File and Open Worksheet. Load by double clicking on Mini006. Others should load their page 6 worksheet. All MINITAB users should choose Stat, Basic Statistics, and Descriptive Statistics. Highlight CD Sales and use select to copy it into the variables box. Choose OK. Quick Notes Statistics has or will explore many of these statistics. To calculate percentiles choose Graph and Probability Plots. Highlight CD Sales and use Select to copy it into Variables. Choose OK. Chapter 3 answers: 1A) 17 4) 16 7A) 14 7B) 21 7D) 18.4 7E) 26.1 Do others by hand. Chapter 4 answers: 1D) 5.53 Do other problems by hand. Saving work from a Session requires choosing File and Save Window As. Give your session a logical name like Mini006 in the File name box. Accept the extension default TXT and choose Save. To print an active session choose File, Print Window, and OK. To use a saved session (text file) choose File, Open Worksheet, and Drive A:. Use the scroll bar next to List Files of type to choose Text. Double click on Mini006. Chapters 5 and 6 Measuring Central Tendency and Dispersion of Grouped Data Chapters 5 and 6 problems are very similar to those of chapters 3 and 4. These MINITAB Practice Set Instructions and Answers will explore only the ungrouped practice sets of chapters 3 and 4.

 Chapter 11 on Sampling and the Sampling Distribution of the Means Problem I message: MINITAB will calculate a confidence interval for the mean of a sampling distribution. Those using Quick's worksheets should load Mini068 by choosing File and Open Worksheet. Double click on Mini068. Others must create a worksheet for the variable part size. You may want to review creating a worksheet from page 1 of Quick Start for MINITAB located at http://businessbookmall.com. I named my variable "Weight". Create a data file using 36 rows and 1 column. I named my data file Mini068 for the software being used and the problem page number. All MINITAB users should select Stat, Basic Statistics, and 1-Sample z. Double click on Weight to copy the file into the Variables box. Be sure the Level under Confidence interval is set to 99. Set Sigma (the standard deviation) to .065 and choose OK. Problem II message: Redo problem I with a 95% confidence interval. Problem III message: Answer this problem by hand. Chapter 12 on Sampling Distributions Part II Problem I message: This problem can be answered by following Practice Set 11 instructions. Those using Quick's worksheets should load Mini072 by choosing File and Open Worksheet. Others must create a worksheet for page 72. Data entered should consist of a 1 for passed and a 0 for failed. All MINITAB users should select Stat, Basic Statistics, and 1-Sample z. Double click on Parts Passing to copy the file into the Variables box. Be sure the Level under Confidence interval is set to 99. Set Sigma to .3 and choose OK. Problem II, III, and IV message: Answer these problems by hand. Part III Inferential Statistics Chapter 13 on Large Sample Hypothesis Testing Problem I message: This is a one sample mean test. Those using Quick's worksheets should load Mini068. Others should load their page 68 worksheet. All MINITAB users should select Stat, Basic Statistics, and 1-Sample z. Double click on Weights to copy the file into the Variables box. Choose the Test Mean bull's-eye and set the mean to 30. Set the Alternative (Hypothesis) to greater than and sigma to .0653. Note: the problem's sigma of .065 was rounded. Choose OK. MINITAB's answer of 2.32 is slightly different because Quick rounded the mean and sigma. The z-value of 2.32 is not beyond 2.33 (it is less than 2.33) and H0 is accepted. Parts are not too heavy. Note: I use the term beyond to indicate further from H0 , the hypothesized population parameter. Problem II message: If a 1-tail test is accepted then the 2-tail test must be accepted. Here, z = 2.32 < 2.58 and H0 is accepted. Problem III message: Redo problem II with the new level of significance. Here z = 2.32 > 1.96 and H0 is rejected. Chapter 14 on Large Sample Hypothesis Testing Part II Problem I message: This problem tests the difference between 2 independent means. Those using Quick's worksheets should load Mini090. Others should create a worksheet with 70 rows and 2 columns (variables). In the first data variable column entitled Delivery Days enter the data for Supplier A and then the data for Supplier B. In the second source variable column entitled Supplier, enter a 0 next to Supplier A's data and a 1 next to Supplier B's data. All MINITAB users should select Stat, Basic Statistics, and 2 Samples t. Put the cursor in the box next to Samples and double click on Delivery Days. Double click on Supplier. Set the Alternative (Hypothesis) to not equal. Do not choose Assume equal variances and choose OK. The test statistic t (z) of -1.32 is not beyond -1.96 (it is greater than -1.96), the critical value of t (z), accept H0. Delivery times are the same. These instructions are provided complements of http://businessbookmall.com.
 Problem II message: MINITAB calculates z and p simultaneously. We must redo the chapter 13 test and look for the p value. Those using Quick's worksheets should load Mini068. Others will need to load their page 68 worksheet. All MINITAB users should select Stat, Basic Statistics, and 1-Sample z. Double click on Weight to copy the file into the Variables box. Choose the Test Mean bull's eye and set the mean to 30. Set Alternative (Hypothesis) to greater than and sigma to .0653. Note: the problem's sigma of .065 was rounded. Choose OK. P = .010 and H0 is barely accepted. Problem III message: Answer this problem by hand. Chapter 15 on Hypothesis Testing of Population Proportions Problem I message: The population proportion is a type of mean so these problems use the one-sample mean test described by chapter 13 directions. Those using Quick's worksheets should load Mini096. Others should create a worksheet using 1 for those who passed and 0 for those who failed. All MINITAB users should select Stat, Basic Statistics, and 1-Sample z. Double click on Passed to copy the file into the Variables box. Choose the Test Mean bull's eye and set the mean to .86. Set the Alternative (Hypothesis) to greater than and sigma to the square root of pq which is .347. Choose OK. A z value of .82 and p value of .21 both result in accepting H0, the proportion of parts passing inspection has not increased. Problem II message: This is a 2 sample proportion test similar to those explored in chapter 14. Those using Quick's worksheets should load Mini096. Others should create a worksheet with 200 rows and 2 columns(variables). In the first column entitled Defects, enter the data for the day shift and then the data for the night shift. Enter a 0 for passes and a 1 for failed. For the source variable named Shift, enter a 0 for day shift data and a 1 for night shift data. All MINITAB users should select Stat, Basic Statistics, and 2 Samples t. Put the cursor in the box next to Samples and double click on Defects. Double click on Shift. Set the Alternative (Hypothesis) to not equal. Choose Assume equal variances and OK. MINITAB has a t value of -2.19 and Quick has a z value of -2.20. H 0 is accepted, shift defects are the same. Chapter 16 on Small Sample Hypothesis Testing Using Student's t Test Problem I message: This is an analysis of 2 independent means. It is similar to problems done earlier. Those using Quick's worksheets should load Mini100. Others should create a worksheet containing both a data variable and a source variable using procedures discussed earlier. All MINITAB users should run a 2-Sample t test using Practice Set 14 procedures. Do not assume equal variances. MINITAB's t of -4.16 and p = 0.0005 results in a rejection of H 0, sick days taken were not the same. Problem II message: This is a paired difference test. Those using Quick's data files should load Mini100. Others should add 3 variables to their page 100 worksheet, one for the efficiency before training, one for the efficiency after training, and one to store the difference. Be sure to match each employee with their before and after efficiency rating. All MINITAB users may use the MINITAB calculator to calculate the difference between employee efficiency before and after training. Choose Calc and Calculator. Use Select to copy Difference into the Store results in variable. Highlight Before and use Select to copy it into the Expression box. Choose the calculator subtraction sign. Highlight After and use Select to copy it into the Expression box. Choose OK. Choose Stat, Basic Statistics, and 1 Sample t. Double click on Difference. Choose Test mean and leave it at 0.0. Set Alternative (Hypothesis) to less than and choose OK. H0 is rejected because p = .0014 < .01. Training increased efficiency.

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