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Course Description:
This course is designed to builds on the fundamental concepts < developed in the introductory statistics course. The student will learn statistical methods to make point estimates of population parameters, construct confidence intervals for sample statistics, perform hypothesis testing to support decisions, make inferences about populations from sample data, use samples to make inferences about the general population, and use linear regression to recognize trends and make forecasts. As in the introductory course, this course incorporates the use of a computer software package (e.g. MS Excel, Minitab, SSSP) for both data analysis and presentation.
A. PROGRAM LEARNING OUTCOMES (PLOs):
The student will be able to:
B. STUDENT LEARNING OUTCOMES (SLOs) – GENERAL:
The student will be able to:
1. Demonstrate an understanding of statistical methods of sampling and estimating population statistics.
2. Demonstrate skills to calculate point estimates and confidence intervals, to test hypothesis, recognize trends and make forecasts to support decisions in the business/economics environment.
3. Demonstrate competence in using Excel, Minitab or SSSP to calculate various statistical methods and processes.
SLO |
PLO1 |
PLO2 |
PLO3 |
PLO4 |
PLO5 |
PLO6 |
PLO7 |
1 |
IDM |
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2 |
IDM |
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3 |
IDM |
I = Introduced
D = Demonstrated
M = Mastered
C. STUDENT LEARNING OUTCOMES (SLOs) – SPECIFIC:
The student will be able to:
General SLO 1. Demonstrate an understanding of statistical methods of sampling and estimating population statistics.
Student Learning Outcomes |
Assessment Strategies |
1.1 Explain the difference between a population and a sample; |
Classwork, Case Studies, Groupwork, Homework,Test |
1.2 Discuss different methods of sampling and choose the best for an application; |
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1.3 Calculate point estimators of a population from sample data; |
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1.4 Determine if a point estimator is unbiased, efficient and consistent; |
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1.5 Construct interval estimates of a population mean for a large sample and a small sample; and |
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1.6 Determine an appropriate sample size. |
General SLO 2. Demonstrate skills to calculate point estimates and confidence intervals, to test hypothesis, recognize trends and make forecasts to support decisions in the business/economics environment.
Student Learning Outcomes |
Assessment Strategies |
2.1 Develop null and alternative hypothesis for testing research hypothesis, testing validity of claims and testing decision making situations; |
Classwork, Case Studies, Groupwork, Homework,Test |
2.2 Describe Type I and Type II errors; |
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2.3 Use test statistics for one and two-tailed test for large and small samples; |
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2.4 Perform one and two-tailed test for large and small samples using p-values; |
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2.5 Make estimates of the difference between means for two populations; |
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2.6 Perform hypothesis test about the difference between means of two populations; |
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2.7 Identify independent samples, dependent samples, and matched samples; |
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2.8 Make inferences about the variance of a population; |
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2.9 Describe goodness of fit test and test of independence using appropriate statistical distributions; |
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2.10 Read an ANOVA table and use analysis of variance test statistics to test Between-treatment and Within-treatment variances; |
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2.11 Discuss experimental design and describe randomized designs and block designs; |
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2.12 Use linear regression to recognize trends and make forecasts; |
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2.13 Determine when to add or delete variables in model building; |
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2.14 Apply trend, cyclical, seasonal, and irregular components; |
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2.15 Apply smoothing methods in forecasting problems; And |
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2.16 Recognize and make adjustments for trends and seasonal differences. |
General SLO 3. Demonstrate competence in using Excel, Minitab or SSSP to calculate various statistical methods and processes.
Student Learning Outcomes |
Assessment Strategies |
3.1 Use Excel/Minitab/SSSP to solve Case Studies; |
Case Studies |
3.2 Translate statistical formulas into Excel/Minitab formulas; and |
|
3.3 Use Excel statistical built-in functions to solve statistical problems. |
D. COURSE CONTENT
E. METHODS OF INSTRUCTION
Lectures, demonstration, projects/case studies, homework, classroom exercises, and various individual and group assignments. Microsoft Excel or other available statistical software will be used to enhance instruction and learning.
F. REQUIRED TEXT(S) AND COURSE MATERIALS
Anderson, David, Sweeney, Dennis and Williams, Thomas. Statistics for Business
and Economics. Thomson South-Western Publishing. Place of Publication, 2008(or most recent edition).
Prescribed textbook
Personal pocket calculator
G. REFERENCE MATERIALS
Wonnacott, Thomas H..Introductory Statistics for Business and Economics. Wiley,
Place of Publication. 1990 (or most recent edition).
Ben-Horim, Moshe. Statistics - Random House, Business Division “Decisions and
Applications in Business,” 1984 (or most recent edition).
Kazmier, Leonard J. “Basic Statistics for Business and Economics,” McGraw. Hill,Place of Publication. 1984 (or most recent edition).
H. INSTRUCTIONAL COSTS
None
I. EVALUATION
None
J. CREDIT BY EXAMINATION
None
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