Download Syllabus-BCBS

Applied Business Statistics
A Training Program for BCBS
Professor Ahmadi
Office: UTC - Fletcher 400C
Telephone: (423) 425-4410
E-mail: [email protected]
Books: 1.
2.
Essentials of Statistics for Business and Economics, Fourth Edition, by Anderson,
Sweeney & Williams (Thomson South-Western Publishing), 2005.
Workbook to accompany Anderson, Sweeney and Williams' Essentials of
Statistics for Business and Economics, Fourth Edition, by Mohammad Ahmadi
(Thomson South-Western Publishing), 2005.
DESCRIPTION AND OBJECTIVES
The science of data analysis is commonly called Statistics. Statistics and statistical analyses are
fundamental tools for managerial decision-making. Statistical analysis provides many ways to
deal with uncertainties and, hence, is useful both for descriptive and for inferential tasks. This
course presents statistical concepts and their applications for managerial decision-making.
Computer based statistical analyses and the application of the insights gained through such
statistical analyses for developing effective business decisions will be integrated into every
aspect of the course. Topics addressed include organizing and summarizing data, graphical and
tabular presentation of data using spreadsheets, probability theory, sampling distributions,
estimation techniques, hypothesis testing for one and more than one population, and regression
and correlation analysis. Other objectives of the course include:
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Using computer technologies for problem solving.
Analyzing data and converting data into useful information.
Working in a group and becoming a contributing team member.
ENTRY SKILLS
Basic algebra, familiarity with basic spreadsheet capabilities/features such as entering and
editing data, formatting cells and columns, developing formulas, copying formulas, absolute and
relative addressing of cells in formulas, and formatting print pages and printing.
EXIT SKILLS
Familiarity with basic statistical concepts, sources of data, descriptive statistics, probability
theory, Poisson, Binomial, and Normal distributions, sampling distributions, interval estimation
and hypothesis testing, analysis of variance, and regression and correlation analyses, ability to
develop and analyze various quantitative models, spreadsheet functions, setting up spreadsheet
templates for statistical models, spreadsheet commands for statistical analysis, and creating
various graphs.
Applied Business Statistics
Tentative Schedule
May
17
Chapter 1 – Introduction
 Data and Statistics – Application in Business
 Descriptive and Inferential Statistics
 Scales of Measurement
 Sources of Data
19
Chapter 2 – Tabular and Graphical Presentations (Start Using Excel)
 Frequency Distribution and Histogram
 Various Single and Multiple Plots
Chapter 3 – Descriptive Statistics – Measures of location and dispersion
 Mean, Median, Mode, Percentiles, Quartiles
 Range, Variance, Standard Deviation, Coefficient of Variation
 Coefficient of Correlation
Chapters 4 and 5 – Probability and probability distributions
 Basics Concepts of Probability
 Laws of Probability
 Discrete Probability Distributions (Binomial and Poisson)
Chapters 6 – Continuous Probability Distributions
 Uniform Probability Distribution
 Normal Probability Distribution
Chapter 7 – Sampling and Sampling Distribution
 Introduction to Sampling Distributions
 Sampling Distribution – Means
 Sampling Distribution – Proportions
 Sampling Methods
Chapter 8 – Interval Estimation
 Means
 Proportions
 Sample Size Estimation
Chapter 9 – Hypothesis Testing
 Developing Null and Alternative Hypotheses
 Type I and Type II Errors
 Hypothesis Test – Means
 Hypothesis Test - Proportions
Chapter 10 – Comparisons Involving Means
 Inferences About the Difference between Two Population Means
 Matched (Pair) Samples
 Analysis of Variance (k Population Means)
24
26
31
June
2
7
9
14
2
16
21
23
28
30
Chapter 11 – Comparisons Involving Proportions
 Interval Estimation – Two Proportions
 Hypothesis Testing – Two Proportions
 Test of Goodness of Fit
 Test of Independence
Chapters 12 – Simple Linear Regression and Correlation
 Least Square Method
 Coefficient of Determination
 Testing for Significance
 Prediction
Chapters 13 – Multiple Regression
 Model Assumptions
 t-Tests
 F- Test
 Using Qualitative Independent Variables
Forecasting
 Moving Averages
 Exponential smoothing
 Time Series Analysis
Survey Design
 Focus Group
 Questionnaire Design
 Scaling
 Validity
 Reliability
3