#### Section 2 : Introduction to Statistics, Data and Statistical Thinking

 lecture 2 Statistics, Data and Statistical Thinking Zip

#### Section 3 : Managing Data in a Minitab Worksheet

 lecture 3 Getting Started with Minitab 4:44 lecture 4 Summarizing Cases, Row Statistics 6:48 lecture 5 Summarizing Columns, Using Session Commands 5:47 lecture 6 Coding Data 2:38 lecture 7 Ranking and Sorting of Data lecture 8 Standardizing Data 2:55 lecture 9 Creating Subsets of Worksheet 2:4 lecture 10 Combining Data using the Stack Option 3:19 lecture 11 Separating Data using the Unstack Option 2:41

#### Section 4 : Descriptive Statistics - Data Analysis For One Variable - Qu

 lecture 12 Describing Qualitative Data Zip lecture 13 Numerically Summarizing Qualitative Variables 3:52 lecture 14 Creating Bar Charts 3:40 lecture 15 Creating Pie Charts 2:0 lecture 16 Test Yourself - Questions Zip lecture 17 Test Yourself - Answers Zip

#### Section 5 : Descriptive Statistics - Data Analysis For One Variable - Qu

 lecture 18 Numerical Measures of Central Tendency Zip lecture 19 Numerical Measures of Variability. Zip lecture 20 Using the Mean and Standard Deviation to Describe Zip lecture 21 Numerical Measures of Relative Standing Zip lecture 22 Numerically Summarizing Quantitative Variables 2:14 lecture23 Graphical Methods for Describing Quantitative Data Zip lecture 24 Creating Histograms 5:28 lecture 25 Creating Stem-and-Leaf Displays 5:40 lecture 26 Creating Dotplots and Individual Value Plots 3:55 lecture 27 Methods for Detecting Outliers Box Plots and z-sco Zip lecture 28 Creating Boxplots 4:24 lecture 29 Distorting the Truth with Descriptive Techniques Zip lecture 30 Test Yourself - Questions Zip lecture 31 Test Yourself - Answers Zip

#### Section 6 : Descriptive Statistics - Data Analysis for Comparing Groups

 lecture 32 Contingency Tables 4:30 lecture 33 Cluster and Stack Bar Charts 3:31 lecture 34 Comparing Subgroups by Dotplots and Individual Val 3:31 lecture 35 Comparing Subgroups Numerically 4:32 lecture 36 Using Charts to Display Descriptive Statistics 2:18

#### Section 7 : Descriptive Statisitcs - Relationships Between Two Quantitat

 lecture 37 Bivariate Relationships Zip lecture 38 Creating Scatterplots 6:3 lecture 39 Adding a Grouping Variable to a Scatterplot 3:3 lecture 40 Creating Marginal Plots 2:2 lecture 41 Computing Covariance and Correlation 4:30 lecture 42 Computing and Displaying the Regression Line 4:55 lecture 43 Test Yourself - Questions Zip lecture 44 Test Yourself - Answers Zip

#### Section 8 : Probability

 lecture 45 Events, Probability, and Sample Spaces Zip lecture 46 Unions and Intersections Zip lecture 47 Complementary Events Zip lecture 48 Conditional Probability Zip lecture 49 The Additive Rule and Mutually Exclusive Events Zip lecture 50 The Multiplicative Rule and Independent Events Zip lecture 51 Bayes's Rule Zip lecture 52 Test Yourself - Questions Zip lecture 53 Test Yourself - Answers Zip

#### Section 9 : Random Variables and Probability Distributions

 lecture 54 Two Types of Random Variables Zip lecture 55 Probability Distributions for Discrete Random Vari Zip lecture 56 The Binomial Distributions Zip lecture 57 Other Discrete Distributions Geometric, Poisson an Zip lecture 58 Calculating Individual and Cumulative Probability 5:46 lecture 59 Calculating Individual Cumulative and Inverse Cumu 4:31 lecture 60 Probability Distributions for Continuous Random Va Zip lecture 61 The Normal Distribution Zip lecture 62 Descriptive Methods for Assessing Normality Zip lecture 63 Other Continuous Distributions Uniform and Exponen Zip lecture 64 Calculating Porbablities Using Distribution Plots 4:47 lecture 65 Calculating Critical Values of Random Variables us 5:59 lecture 66 Test Yourself - Questions Zip lecture 67 Test Yourself - Answers Zip

#### Section 10 : Random Data - Sampling Distributions

 lecture 68 The Concept of Sampling Distributions Zip lecture 69 Properties of Sampling Distributions Unbiasedness Zip lecture 70 Generating Random Data From Normal Distribution an 4:50 lecture 71 Sampling from a Column 2:34 lecture 72 Simulating Sampling with More Samples, Sampling Er 6:59 lecture 73 Simulation Technique to Study Distributions of Sam 5:47 lecture 74 The Sampling Distribution of a Sample Mean and th Zip lecture 75 Distribution of the Sample Mean. Known and Unknow 9:31 lecture 76 The Sampling Distribution of the Sample Proportion Zip lecture 77 Distribution of the Sample Proportions. Large and 7:39 lecture 78 Distribution of Sample Variances. Normal Populatio 4:23 lecture 79 Test Yourself - Questions Zip lecture 80 Test Yourself - Answers Zip

#### Section 11 : Inferences From One Sample - Estimation with Confidence Inte

 lecture 81 Identifying and Estimating the Target Parameter Zip lecture 82 Confidence Interval for a Population Mean Normal Zip lecture 83 Confidence Interval for a Population Mean Student’ Zip lecture 84 Large-Sample Confidence Interval for a Population Zip lecture 85 Confidence Interval for a Population Variance Zip lecture 86 Finite Population Correction for Simple Random Sam Zip lecture 87 Simulation of Confidence Intervals for the Mean of 10:3 lecture 88 Simulation of Confidence Intervals for the Mean. U lecture 89 Determining the Sample Size Zip lecture 90 Sample Size for Estimation 3:16 lecture 91 Test Yourself - Questions Zip lecture 92 Test Yourself - Answers Zip

#### Section 12 : Inferences From One Sample - Tests of Hypotheses

 lecture 93 The Elements of a Test of Hypothesis Zip lecture 94 Formulating Hypotheses and Setting up the Rejectio Zip lecture 95 Using Critical Values of Test Statistics for Testi 7:33 lecture 96 Observed Significance Levels p-Values Zip lecture 97 Using p-value for Testing a Hypothesis about Popul lecture 98 Test of Hypothesis about a Population Mean Normal Zip lecture 99 One Sample z-Test. Hypothesis Test. Confidence Int 7:10 lecture 100 Test of Hypothesis about a Population Mean Student Zip lecture 101 One Sample Proportion. Hypothesis Test. Confidence lecture 102 Large-Sample Test of Hypothesis about a Population Zip lecture 103 One Sample t-Test. Hypothesis Test. Confidence Int 6:58 lecture 104 Test of Hypothesis about a Population Variance Zip lecture 105 One Sample Variance. Hypothesis Test. Confidence I 6:52 lecture 106 Calculating Type II Error Probabilities More about Zip lecture 107 The Power of the Test. Sample Size using Power 8:48 lecture 108 Checking Assumptions. Randomness. Normality Test a 8:16 lecture 109 Test Yourself - Questions Zip lecture 110 Test Yourself - Answers Zip

#### Section 13 : Inferences from Two Samples

 lecture 111 Identifying the Target Parameter Zip lecture 112 Comparing Two Population Means Independent Samplin Zip lecture 113 Two Independent Samples. Compering two population 8:42 lecture 114 Comparing Two Population Proportions Independent S Zip lecture 115 Comparing Population Proportions From two Independ 7:1 lecture 116 Determining the Required Sample Size Zip lecture 117 Comparing Two Population Means Paired Difference E Zip lecture 118 Paired Samples. Inference on the Mean of Paired Da 7:39 lecture 119 Comparing Two Population Variances Independent Sam Zip lecture 120 Comparing Population Variances From Two Independen 6:44 lecture 121 Test Yourself - Questions Zip lecture 122 Test Yourself - Answers Zip

#### Section 14 : Analysis of Variance - One Factor Expermimental Design

 lecture 123 Elements of a Designed Experiment Zip lecture 124 The Completely Randomized Design Single Factor Zip lecture 125 Completely Randomized Design (CRD). Part I. Testi lecture 126 Completely Randomized Design (CRD). Part II. Check 4:31 lecture 127 Multiple Comparisons of Means Zip lecture 128 Completely Randomized Design (CRD). Part III. Mult 6:29 lecture 129 Test Yourself - Questions Zip lecture 130 Test Yourself - Answers Zip