 # Connect Master for Business Statistics Online Access

1st Edition
By Dane McGuckian
ISBN10: 1259127680
ISBN13: 9781259127687
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### Program Details

Module 1: Data and the Science of Statistics
• 1.1 The Discipline of Statistics
• 1.2 Types of Statistics
• 1.3 Sample Data vs. Population Data
• 1.4 Types of Data
• 1.5 Levels of Measurement

Module 2: Describing Attributes of a Data Set
• 2.1 Summarizing Qualitative Data
• 2.2 Summarizing Quantitative Data
• 2.3 Summation Notation
• 2.4 Measures of Center
• 2.5 Measures of Dispersion
• 2.6 Chebyshev's Theorem
• 2.7 The Empirical Rule
• 2.8 Relative Position
• 2.9 Box Plots and Symmetry

Module 3: A Survey of Probability
• 3.1 Basic Probability
• 3.2 Counting Techniques
• 3.3 Addition Rule of Probability
• 3.4 Conditional Rule of Probability
• 3.5 Multiplication Rule of Probability
• 3.6 Using Complements

Module 4: Discrete Random Variables
• 4.1 Probability Distributions for Discrete Random Variables
• 4.2 Expected Value, Variance, and Standard Deviation for Discrete Random Variables
• 4.3 The Binomial Probability Distribution
• 4.4 The Poisson Probability Distribution

Module 5: Continuous Random Variables

• 5.1 Continuous Random Variables
• 5.2 The Normal Distribution
• 5.3 Applications of the Normal Distribution
• 5.4 Normal Approximation to the Binomial Distribution

Module 6: Point Estimators and the Sampling Distribution of the Sample Mean
• 6.1 Point Estimators and Sampling Distributions
• 6.2 The Central Limit Theorem

Module 7: Interval Estimators
• 7.1 Interval Estimate of the Population Mean with a Known Population Standard Deviation
• 7.2 Sample Size Requirements for Estimating the Population Mean
• 7.3 Interval Estimate of the Population Mean with an Unknown Population Standard Deviation
• 7.4 Interval Estimate of the Population Proportion
• 7.5 Sample Size Requirements for Estimating the Population Proportion

Module 8: Hypothesis Testing
• 8.1 Testing Hypothesis about a Population Mean with a Known Population Standard Deviation
• 8.2 Testing Hypothesis about a Population Mean with an Unknown Population Standard Deviation
• 8.3 Testing Hypothesis about a Population Proportion

Module 9: Two Sample Procedures
• 9.1 Comparisons of Two Population Means with Known Population Standard Deviations Based on Independent Samples
• 9.2 Comparisons of Two Population Means with Unknown Population Standard Deviations Based on Independent Samples with Equal Variances
• 9.3 Comparisons of Two Population Means with Unknown and Assumed Unequal Population Variances Based on Independent Samples
• 9.4 Inferences about Mean Differences (Dependent Samples)
• 9.5 Comparisons of Two Population Proportions Based on Independent Sampling
• 9.6 Comparisons of Two Population Variances Based on Independent Samples

Module 10: Chi-Square Procedures
• 10.1 The Chi-Square Goodness-of-Fit Test
• 10.2 The Chi-Square Test of Independence

Module 11: Linear Models
• 11.1 ANOVA for Completely Randomized Design Experiments
• 11.2 The Coefficient of Correlation
• 11.3 Creating the Least Squares Equation
• 11.4 Making Inference about the Slope of the Regression Line
• 11.5 The Coefficient of Determination
• 11.6 Confidence and Prediction Intervals for Y