Connect Master for Business Statistics Online Access
1st EditionISBN10: 1259127680
ISBN13: 9781259127687
Copyright: 2017
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ISBN10: 1259127680 | ISBN13: 9781259127687
1 Year
$86.00
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
- 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
About the Author
Dane McGuckian
Dane McGuckian is a Senior Statistics Instructor at Florida International University
(FIU) and the founder of STATSprofessor.com. Dane began his career as a high school
teacher at Sagemont Upper School in Weston, Florida. While in high school, Dane had no
plans to attend college and completed only the bare minimum requirements in order to
graduate. After a year-long struggle in the job market lacking a higher education, Dane
reluctantly enrolled at a local community college in Florida, Broward Community College
(BCC). There, Dane found that the discipline of mathematics was, for him, a natural fit.
Dane ended up at Florida International University where he graduated Summa Cum Laude with
a Bachelor of Science in Mathematics.
After his initial high school teaching position, Dane decided to return to the community
college where he discovered his aptitude for Mathematics as an instructor. While teaching
at BCC, Dane subsequently earned his Master of Science in Statistics from Florida
International University. Dane was hired on as an instructor at FIU in 2006.
During his first semester of teaching at FIU, Dane began independent work creating a
series of instructional videos on statistics for his students’ use. In 2011, this little
side project spun into the creation of his website, STATSprofessor.com, which is now
available to statistics students across the country.
Accessibility Rubric
Creating accessible products is a priority for McGraw-Hill. We have put in place processes to make accessibility and meeting the WCAG AA guidelines part of our day-to-day development efforts and product roadmaps.
Please review our accessibility information for this specific product.
In future editions, this rubric will be reformatted to increase accessibility and usability.
McGraw-Hill sites may contain links to websites owned and operated by third parties. These links are provided as supplementary materials, and for learners’ information and convenience only. McGraw-Hill has no control over and is not responsible for the content or accessibility of any linked website.
For further information on McGraw‐Hill and Accessibility, please visit our accessibility page or contact us at accessibility@mheducation.com
- 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
About the Author
Dane McGuckian
Dane McGuckian is a Senior Statistics Instructor at Florida International University
(FIU) and the founder of STATSprofessor.com. Dane began his career as a high school
teacher at Sagemont Upper School in Weston, Florida. While in high school, Dane had no
plans to attend college and completed only the bare minimum requirements in order to
graduate. After a year-long struggle in the job market lacking a higher education, Dane
reluctantly enrolled at a local community college in Florida, Broward Community College
(BCC). There, Dane found that the discipline of mathematics was, for him, a natural fit.
Dane ended up at Florida International University where he graduated Summa Cum Laude with
a Bachelor of Science in Mathematics.
After his initial high school teaching position, Dane decided to return to the community
college where he discovered his aptitude for Mathematics as an instructor. While teaching
at BCC, Dane subsequently earned his Master of Science in Statistics from Florida
International University. Dane was hired on as an instructor at FIU in 2006.
During his first semester of teaching at FIU, Dane began independent work creating a
series of instructional videos on statistics for his students’ use. In 2011, this little
side project spun into the creation of his website, STATSprofessor.com, which is now
available to statistics students across the country.
Accessibility Rubric
Creating accessible products is a priority for McGraw-Hill. We have put in place processes to make accessibility and meeting the WCAG AA guidelines part of our day-to-day development efforts and product roadmaps.
Please review our accessibility information for this specific product.
In future editions, this rubric will be reformatted to increase accessibility and usability.
McGraw-Hill sites may contain links to websites owned and operated by third parties. These links are provided as supplementary materials, and for learners’ information and convenience only. McGraw-Hill has no control over and is not responsible for the content or accessibility of any linked website.
For further information on McGraw‐Hill and Accessibility, please visit our accessibility page or contact us at accessibility@mheducation.com
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