# Connect Master for Business Statistics Online Access

1^{st}Edition

ISBN10: 1259127680

ISBN13: 9781259127687

Copyright: 2017

Instructors:

Get your free copy today

Sign-in to get your free copy or create a new account

Considering using this product for your course? Request a free copy to evaluate if it'll be the best resource for you. You can get a free copy of any textbook to review.

**Review the content, imagery, and approach**- make sure it's the best resource for you**There's no cost to you**- just needs to be approved by your McGraw-Hill Learning Technology Rep**No account yet, no problem**- just register on the next step and you'll be assigned a personal Learning Technology Rep who can send you your copy

Still Have Questions?

Contact a Tech Rep
s

## Purchase Options

Students, we’re committed to providing you with high-value course solutions backed by great service and a team that cares about your success. See tabs below to explore options and prices.

The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

### 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

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

**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

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

#### Shipping Options

- Standard
- Next day air
- 2nd day air
- 3rd day air

#### Rent Now

You will be taken to our partner Chegg.com to complete your transaction.

After completing your transaction, you can access your course using the section url supplied by your instructor.