Section 1 : Introduction to the Course

lecture 1 Introduction and Data Files to Download 3:47

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