Section 1 : Introduction to the Course
Lecture 1 Introduction and Data Files to Download 00:03:47 Duration

Section 2 : Managing Data in a Minitab Worksheet
Lecture 1 Getting Started with Minitab 00:04:44 Duration
Lecture 2 Summarizing Cases, Row Statistics 00:06:48 Duration
Lecture 3 Summarizing Columns, Using Session Commands 00:05:47 Duration
Lecture 4 Coding Data 00:02:38 Duration
Lecture 5 Ranking and Sorting of Data
Lecture 6 Standardizing Data 00:02:55 Duration
Lecture 7 Creating Subsets of Worksheet 00:02:04 Duration
Lecture 8 Combining Data using the Stack Option 00:03:19 Duration
Lecture 9 Separating Data using the Unstack Option 00:02:41 Duration

Section 3 : Descriptive Statistics - Data Analysis For One Variable - Qu
Lecture 1 Numerically Summarizing Qualitative Variables 00:03:52 Duration
Lecture 2 Creating Bar Charts 00:03:40 Duration
Lecture 3 Creating Pie Charts 00:02:00 Duration

Section 4 : Descriptive Statistics - Data Analysis For One Variable - Qu
Lecture 1 Numerically Summarizing Quantitative Variables 00:02:14 Duration
Lecture 2 Creating Histograms 00:05:28 Duration
Lecture 3 Creating Stem-and-Leaf Displays 00:05:40 Duration
Lecture 4 Creating Dotplots and Individual Value Plots 00:03:55 Duration
Lecture 5 Creating Boxplots 00:04:24 Duration

Section 5 : Descriptive Statistics - Data Analysis for Comparing Groups
Lecture 1 Contingency Tables 00:04:30 Duration
Lecture 2 Cluster and Stack Bar Charts 00:03:31 Duration
Lecture 3 Comparing Subgroups by Dotplots and Individual Val 00:03:31 Duration
Lecture 4 Comparing Subgroups Numerically 00:04:32 Duration
Lecture 5 Using Charts to Display Descriptive Statistics 00:02:18 Duration

Section 6 : Descriptive Statisitcs - Relationships Between Two Quantitat
Lecture 1 Creating Scatterplots 00:06:03 Duration
Lecture 2 Adding a Grouping Variable to a Scatterplot 00:03:03 Duration
Lecture 3 Creating Marginal Plots 00:02:02 Duration
Lecture 4 Computing Covariance and Correlation 00:04:30 Duration
Lecture 5 Computing and Displaying the Regression Line 00:04:55 Duration

Section 7 : Random Variables and Probability Distributions
Lecture 1 Calculating Individual and Cumulative Probability 00:05:46 Duration
Lecture 2 Calculating Individual Cumulative and Inverse Cumu 00:04:31 Duration
Lecture 3 Calculating Porbablities Using Distribution Plots 00:04:47 Duration
Lecture 4 Calculating Critical Values of Random Variables us 00:05:59 Duration

Section 8 : Random Data - Sampling Distributions
Lecture 1 Generating Random Data From Normal Distribution an 00:04:50 Duration
Lecture 2 Sampling from a Column 00:02:34 Duration
Lecture 3 Simulating Sampling with More Samples, Sampling Er 00:06:59 Duration
Lecture 4 Simulation Technique to Study Distributions of Sam 00:05:47 Duration
Lecture 5 Distribution of the Sample Mean. Known and Unknow 00:09:31 Duration
Lecture 6 Distribution of the Sample Proportions. Large and 00:07:39 Duration
Lecture 7 Distribution of Sample Variances. Normal Populatio 00:04:23 Duration

Section 9 : Inferences From One Sample - Estimation with Confidence Inte
Lecture 1 Simulation of Confidence Intervals for the Mean of 00:10:03 Duration
Lecture 2 Simulation of Confidence Intervals for the Mean. U
Lecture 3 Sample Size for Estimation 00:03:16 Duration

Section 10 : Inferences From One Sample - Tests of Hypotheses
Lecture 1 Using Critical Values of Test Statistics for Testi 00:07:33 Duration
Lecture 2 Using p-value for Testing a Hypothesis about Popul
Lecture 3 One Sample z-Test. Hypothesis Test. Confidence Int 00:07:10 Duration
Lecture 4 One Sample Proportion. Hypothesis Test. Confidence
Lecture 5 One Sample t-Test. Hypothesis Test. Confidence Int 00:06:58 Duration
Lecture 6 One Sample Variance. Hypothesis Test. Confidence I 00:06:52 Duration
Lecture 7 The Power of the Test. Sample Size using Power 00:08:48 Duration
Lecture 8 Checking Assumptions. Randomness. Normality Test a 00:08:16 Duration

Section 11 : Inferences from Two Samples
Lecture 1 Two Independent Samples. Compering two population 00:08:42 Duration
Lecture 2 Comparing Population Proportions From two Independ 00:07:01 Duration
Lecture 3 Paired Samples. Inference on the Mean of Paired Da 00:07:39 Duration
Lecture 4 Comparing Population Variances From Two Independen 00:06:44 Duration

Section 12 : Analysis of Variance - One Factor Expermimental Design
Lecture 1 Completely Randomized Design (CRD). Part I. Testi
Lecture 2 Completely Randomized Design (CRD). Part II. Check 00:04:31 Duration
Lecture 3 Completely Randomized Design (CRD). Part III. Mult 00:06:29 Duration