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

Section 2 : Introduction to Statistics, Data and Statistical Thinking
Lecture 1 Statistics, Data and Statistical Thinking

Section 3 : 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 4 : Descriptive Statistics - Data Analysis For One Variable - Qu
Lecture 1 Describing Qualitative Data
Lecture 2 Numerically Summarizing Qualitative Variables 00:03:52 Duration
Lecture 3 Creating Bar Charts 00:03:40 Duration
Lecture 4 Creating Pie Charts 00:02:00 Duration
Lecture 5 Test Yourself - Questions
Lecture 6 Test Yourself - Answers

Section 5 : Descriptive Statistics - Data Analysis For One Variable - Qu
Lecture 1 Numerical Measures of Central Tendency
Lecture 2 Numerical Measures of Variability.
Lecture 3 Using the Mean and Standard Deviation to Describe
Lecture 4 Numerical Measures of Relative Standing
Lecture 5 Numerically Summarizing Quantitative Variables 00:02:14 Duration
Lecture 6 Graphical Methods for Describing Quantitative Data
Lecture 7 Creating Histograms 00:05:28 Duration
Lecture 8 Creating Stem-and-Leaf Displays 00:05:40 Duration
Lecture 9 Creating Dotplots and Individual Value Plots 00:03:55 Duration
Lecture 10 Methods for Detecting Outliers Box Plots and z-sco
Lecture 11 Creating Boxplots 00:04:24 Duration
Lecture 12 Distorting the Truth with Descriptive Techniques
Lecture 13 Test Yourself - Questions
Lecture 14 Test Yourself - Answers

Section 6 : 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 7 : Descriptive Statisitcs - Relationships Between Two Quantitat
Lecture 1 Bivariate Relationships
Lecture 2 Creating Scatterplots 00:06:03 Duration
Lecture 3 Adding a Grouping Variable to a Scatterplot 00:03:03 Duration
Lecture 4 Creating Marginal Plots 00:02:02 Duration
Lecture 5 Computing Covariance and Correlation 00:04:30 Duration
Lecture 6 Computing and Displaying the Regression Line 00:04:55 Duration
Lecture 7 Test Yourself - Questions
Lecture 8 Test Yourself - Answers

Section 8 : Probability
Lecture 1 Events, Probability, and Sample Spaces
Lecture 2 Unions and Intersections
Lecture 3 Complementary Events
Lecture 4 Conditional Probability
Lecture 5 The Additive Rule and Mutually Exclusive Events
Lecture 6 The Multiplicative Rule and Independent Events
Lecture 7 Bayes's Rule
Lecture 8 Test Yourself - Questions
Lecture 9 Test Yourself - Answers

Section 9 : Random Variables and Probability Distributions
Lecture 1 Two Types of Random Variables
Lecture 2 Probability Distributions for Discrete Random Vari
Lecture 3 The Binomial Distributions
Lecture 4 Other Discrete Distributions Geometric, Poisson an
Lecture 5 Calculating Individual and Cumulative Probability 00:05:46 Duration
Lecture 6 Calculating Individual Cumulative and Inverse Cumu 00:04:31 Duration
Lecture 7 Probability Distributions for Continuous Random Va
Lecture 8 The Normal Distribution
Lecture 9 Descriptive Methods for Assessing Normality
Lecture 10 Other Continuous Distributions Uniform and Exponen
Lecture 11 Calculating Porbablities Using Distribution Plots 00:04:47 Duration
Lecture 12 Calculating Critical Values of Random Variables us 00:05:59 Duration
Lecture 13 Test Yourself - Questions
Lecture 14 Test Yourself - Answers

Section 10 : Random Data - Sampling Distributions
Lecture 1 The Concept of Sampling Distributions
Lecture 2 Properties of Sampling Distributions Unbiasedness
Lecture 3 Generating Random Data From Normal Distribution an 00:04:50 Duration
Lecture 4 Sampling from a Column 00:02:34 Duration
Lecture 5 Simulating Sampling with More Samples, Sampling Er 00:06:59 Duration
Lecture 6 Simulation Technique to Study Distributions of Sam 00:05:47 Duration
Lecture 7 The Sampling Distribution of a Sample Mean and th
Lecture 8 Distribution of the Sample Mean. Known and Unknow 00:09:31 Duration
Lecture 9 The Sampling Distribution of the Sample Proportion
Lecture 10 Distribution of the Sample Proportions. Large and 00:07:39 Duration
Lecture 11 Distribution of Sample Variances. Normal Populatio 00:04:23 Duration
Lecture 12 Test Yourself - Questions
Lecture 13 Test Yourself - Answers

Section 11 : Inferences From One Sample - Estimation with Confidence Inte
Lecture 1 Identifying and Estimating the Target Parameter
Lecture 2 Confidence Interval for a Population Mean Normal
Lecture 3 Confidence Interval for a Population Mean Student’
Lecture 4 Large-Sample Confidence Interval for a Population
Lecture 5 Confidence Interval for a Population Variance
Lecture 6 Finite Population Correction for Simple Random Sam
Lecture 7 Simulation of Confidence Intervals for the Mean of 00:10:03 Duration
Lecture 8 Simulation of Confidence Intervals for the Mean. U
Lecture 9 Determining the Sample Size
Lecture 10 Sample Size for Estimation 00:03:16 Duration
Lecture 11 Test Yourself - Questions
Lecture 12 Test Yourself - Answers

Section 12 : Inferences From One Sample - Tests of Hypotheses
Lecture 1 The Elements of a Test of Hypothesis
Lecture 2 Formulating Hypotheses and Setting up the Rejectio
Lecture 3 Using Critical Values of Test Statistics for Testi 00:07:33 Duration
Lecture 4 Observed Significance Levels p-Values
Lecture 5 Using p-value for Testing a Hypothesis about Popul
Lecture 6 Test of Hypothesis about a Population Mean Normal
Lecture 7 One Sample z-Test. Hypothesis Test. Confidence Int 00:07:10 Duration
Lecture 8 Test of Hypothesis about a Population Mean Student
Lecture 9 One Sample Proportion. Hypothesis Test. Confidence
Lecture 10 Large-Sample Test of Hypothesis about a Population
Lecture 11 One Sample t-Test. Hypothesis Test. Confidence Int 00:06:58 Duration
Lecture 12 Test of Hypothesis about a Population Variance
Lecture 13 One Sample Variance. Hypothesis Test. Confidence I 00:06:52 Duration
Lecture 14 Calculating Type II Error Probabilities More about
Lecture 15 The Power of the Test. Sample Size using Power 00:08:48 Duration
Lecture 16 Checking Assumptions. Randomness. Normality Test a 00:08:16 Duration
Lecture 17 Test Yourself - Questions
Lecture 18 Test Yourself - Answers

Section 13 : Inferences from Two Samples
Lecture 1 Identifying the Target Parameter
Lecture 2 Comparing Two Population Means Independent Samplin
Lecture 3 Two Independent Samples. Compering two population 00:08:42 Duration
Lecture 4 Comparing Two Population Proportions Independent S
Lecture 5 Comparing Population Proportions From two Independ 00:07:01 Duration
Lecture 6 Determining the Required Sample Size
Lecture 7 Comparing Two Population Means Paired Difference E
Lecture 8 Paired Samples. Inference on the Mean of Paired Da 00:07:39 Duration
Lecture 9 Comparing Two Population Variances Independent Sam
Lecture 10 Comparing Population Variances From Two Independen 00:06:44 Duration
Lecture 11 Test Yourself - Questions
Lecture 12 Test Yourself - Answers

Section 14 : Analysis of Variance - One Factor Expermimental Design
Lecture 1 Elements of a Designed Experiment
Lecture 2 The Completely Randomized Design Single Factor
Lecture 3 Completely Randomized Design (CRD). Part I. Testi
Lecture 4 Completely Randomized Design (CRD). Part II. Check 00:04:31 Duration
Lecture 5 Multiple Comparisons of Means
Lecture 6 Completely Randomized Design (CRD). Part III. Mult 00:06:29 Duration
Lecture 7 Test Yourself - Questions
Lecture 8 Test Yourself - Answers