B151 - Statistics I
Course details are provided as a general guide. Faculty may change certain aspects associated with the description that follows. Please check with the bookstore for specific textbooks and other required readings. Faculty may also place required readings on reserve at Gutman Library or on the Library's ERES (electronic reserve) system. Course registrants are responsible for obtaining a syllabus and project descriptions from the instructor.
RECOMMENDED READING: (optional)
Against All Odds: Inside Statistics.
Workbook: Statistics With A Sense Of Humor, 1998, by Pyrczak.
COURSE DESCRIPTION:
Statistics I is a sophomore-level business core course. Descriptive statistical measures and probability theory are combined to provide the basis for statistical decision making techniques. Areas covered: data presentation, measures of central tendency, measures of variability, basic probability laws. Bayes' theorem, binomial, Poisson, normal and "t" distributions, confidence intervals, hypothesis testing.
COURSE PREREQUISITES:
The prerequisites for Statistics I are: L130 Finite Mathematics or L131 Finite Mathematics. (Note that the content for both courses is identical. However, more time is devoted to review and use of elementary mathematical operations in L130.)
It is your responsibility to make certain that you have successfully completed this course. If at any time during the semester it is learned that you have not successfully completed the prerequisites, you will be dropped from the course and receive neither credit nor a tuition refund.
COURSE OBJECTIVES & EXPECTED OUTCOMES:
Students are expected to develop critical judgment and decision-making ability using quantitative methods and probability samples.
COURSE POLICIES:
Please refer to the policies page for minimum expected standards and behavior in all classes.
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Week 1 |
Introduction |
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Week 2 |
Basic Quantitative Concepts and Techniques |
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Week 3 |
Statistics, Data, and Statistical Thinking |
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Week 4 |
Descriptive Statistics |
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Week 5 |
Introduction to Probability |
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Week 6 |
Discrete Probability Distributions: Random Variables |
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Week 7 |
Discrete Probability Distributions: Binomial Distributions |
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Week 8 |
Continuous Probability Distributions: Normal Distributions |
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Week 9 |
Continuous Probability Distributions: Normal Calculations |
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Week 10 |
Samples: Experimental Design |
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Week 11 |
Sampling Distributions: The Sample Mean & Control Charts |
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Week 12 |
Statistical Inference: Confidence Intervals |
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Week 13 |
Statistical Inference: Significance Tests |
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Week 14 |
Hypothesis Testing |
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Week 15 |
Hypothesis Testing |
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