Business Statistics with Daniel Gryboski
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Content Rating 
Make efficient use of your time with my guided instruction in this Business Statistics course. I will help you with:
 Timely review materials aimed directly at the concepts of each exam.
 Office hours and individualized video tutorials.
 Detailed support with Excel functions.
 A proprietary Excel workbook to help in your data analysis.
 Feedback on what you are doing correctly or incorrectly.
 Suggestions on how you might use the concepts in your daily life.
This online statistics course familiarizes students with the basic concepts of business statistics and provides a comprehensive overview of its scope and limitations. Students become familiar with statistical analysis of samples, compute the measures of location and dispersion, and interpret them for descriptive statistics. Similar to other online college statistics courses, lessons demonstrate linear regression, multiple regression, correlation analysis, model building, model diagnosis, and time series regression using various models. The course also describes basic concepts of probability and applies the discrete and continuous distributions of probability. Other topics in this online statistics course include constructing a hypothesis on one and two samples, performing oneway and twoway analysis of variance, applying nonparametric methods of statistical analysis, and making decisions under risk or uncertainty. If you've been considering an online college statistics course, this is the one.
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All the material is laid out for your success in the class.
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All the material is laid out for your success in the class.
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Challenging but not impossible to pass.
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Great course, self paced helped.
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This course is very helpful in helping me understand and learn about statistics concepts and the best thing I like about it is I can do it at my convenience.
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this course was very easy to follow along if you follow the recommended steps.
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:)
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Would have been easier w/ a professor
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Dan Gryboski has been teaching math and statistics online and in the classroom since 2002. Throughout his teaching career, Dan has been recognized as a teacher who meets the students’ different learning needs. In his very first year of teaching, he was selected as the Master Teacher out of 250 other faculty members. He was nominated by his students specifically for his ability to help students apply mathematical concepts in their daily lives.
Dan made 600 tutorial videos for McGrawHill publishers and most recently created over 300 tutorial videos for StraighterLine. He continues making videos, as he routinely responds to students’ questions by creating tutorials that answer their specific questions.
Dan earned his Bachelor of Arts degree in Mathematics and Computer Science from Colorado College. He earned his Master of Science degree in Mechanical Engineering from the University of Colorado, Boulder. Before entering the teaching profession, he worked as an engineer modeling the passenger capacities of automated transportation systems. He was invited to present his paper, “Using a Simple Linear Regression Model to Predict the Outcome of Collegiate Football Game,” at the Hawaii International Conference on Statistics in 2004. He has presented at numerous local educational forums promoting the use of real applications in teaching mathematics and, thereby, selfreliance.
Dan enjoys spending time outside with his wife and three children, as well as riding his mountain bike and golfing.
Course Objectives
After completing this course, students will be able to:
 Define statistics and identify its scope and limitations.
 Describe and apply the basic concepts in statistics.
 Apply the sampling methods and the Central Limit Theorem to perform statistical analyses of samples and to predict population behavior.
 Compute and interpret measures of location and dispersion.
 Represent the statistical data in different forms and interpret the different representations.
 Perform multiple regression and correlation analysis.
 Describe the basic concepts of probability.
 Describe and apply the discrete and continuous distributions of probability.
 Conduct hypothesis tests based on one or two samples.
 Perform oneway and twoway analyses of variance (ANOVA).
 Apply nonparametric methods of statistical analysis.
 Perform time series regression using various models.
 Perform model building and model diagnoses.
Topic  Lesson Topic  Subtopics  Objectives 

1  Statistics: An Introduction and Basic Concepts 


2  Sampling Methods 


3  Descriptive Statistics: Numerical Measures 


4  Descriptive Statistics: Representational 


5  Probability 


6  Discrete and Continuous Probability Distributions 


7  Using Confidence Intervals in the Sampling Process 


8  Tests of Hypothesis 


9  Regression Analysis 


10  Multiple Regression Analysis 


11  Analysis of Variance 


12  Nonparametric Methods 


13  Process Improvement Using Control Charts 


14  Review 

None 
Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.
Lind/Marchal/Wathen: BASIC STATISTICS FOR BUSINESS AND ECONOMICS, Seventh edition is a derivative of the bestselling STATISTICAL TECHNIQUES IN BUSINESS AND ECONOMICS, offering the essential topics of statistical tools and methods delivered in a student friendly, stepbystep format. The text is nonthreatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics content as opposed to technology or programming methods, and the seventh edition continues as a student's text with increased emphasis on interpretation of data and results.
Lind, Douglas A., Marchal, William A. and Samuel A. Wathen. Basic Statistics for Business and Economics, 7th edition, McGrawHill/Irwin, 2010, ISBN: 9780077384470
StraighterLine provides a percentage score and letter grade for each course. A passing percentage is 70% or higher. If you have chosen a
to award credit for this course, your final grade will be based upon that college's grading scale. Only passing scores will be considered by Partner Colleges for an award of credit.There are a total of 1000 points in the course:
Topic  Assessment  Points Available 

2  Graded Quiz 2.1  125 
4  Graded Quiz 4.1  125 
6  Graded Quiz 6.1  125 
8  Graded Quiz 8.1  125 
10  Graded Quiz 10.1  125 
13  Graded Quiz 13.1  125 
14  Graded Final Exam  250 
Final Proctored Exam
The final exam is developed to assess the knowledge you learned taking this course. All students are required to take an online proctored final exam in order complete the course and be eligible for transfer credit.
Make efficient use of your time with my guided instruction in this Business Statistics course. I will help you with:
 Timely review materials aimed directly at the concepts of each exam.
 Office hours and individualized video tutorials.
 Detailed support with Excel functions.
 A proprietary Excel workbook to help in your data analysis.
 Feedback on what you are doing correctly or incorrectly.
 Suggestions on how you might use the concepts in your daily life.
This online statistics course familiarizes students with the basic concepts of business statistics and provides a comprehensive overview of its scope and limitations. Students become familiar with statistical analysis of samples, compute the measures of location and dispersion, and interpret them for descriptive statistics. Similar to other online college statistics courses, lessons demonstrate linear regression, multiple regression, correlation analysis, model building, model diagnosis, and time series regression using various models. The course also describes basic concepts of probability and applies the discrete and continuous distributions of probability. Other topics in this online statistics course include constructing a hypothesis on one and two samples, performing oneway and twoway analysis of variance, applying nonparametric methods of statistical analysis, and making decisions under risk or uncertainty. If you've been considering an online college statistics course, this is the one.