STAT 3309 – STATISTICAL ANALYSIS FOR BUSINESS APPLICATIONS

 

Textbook: Business Statistics, 6th edition, B. Bowerman, R. O’Connell, E. Murphree.

 

Goals/objectives: This is the first of two courses intended to introduce students to basic statistical concepts and methods. It is intended for students majoring in business or statistics. The computer package EXCEL is used throughout the course.

 

Learning outcomes: After successfully completing this course the students become familiar with the basic concepts of business statistics. These concepts include descriptive statistical methods for qualitative and quantitative data, discrete and continuous random variables and their associate probability distributions with major emphasis on the binomial and normal distributions. The students also learn about expected values of random variables, point and interval estimation of population parameters, hypothesis testing and finally linear regression for bivariate types of data. A large number of various applied business problems are discussed and solved in each section. The students also become familiar with the use of Excel software by completing several Excel projects.   

 

Help: You are encouraged to ask questions in class and to study with your classmates. Additional help is available at the Math Lab in the Academic Support Center at UHD (925-N, 2-4pm, 5-7pm).

 

STATEMENT ON REASONABLE ACCOMMODATIONS: UHD adheres to all applicable federal, state, and local laws, regulations, and guidelines with respect to providing reasonable accommodations for students with disabilities. Students with disabilities should be notified to register with Disabled Student Services (in S409) and contact the instructor in a timely manner to arrange for appropriate accommodations. Whenever possible, and in accordance with 504/ADA guidelines, UHD will attempt to provide reasonable academic adjustments/auxiliary aids to students who request and require them. Students may call 713-226-5227 for more assistance.

 

Homework assignments: (late homework will not be accepted)

HW 1 due

Section 2.1 on page 39: 2.4, 2.5, 2.6

Section 2.2 on page 50: 2.16, 2.17

Section 2.3 on page 55: 2.28, 2.29

Section 2.4 on page 59: 2.34, 2.35, 2.36

Section 3.1 on page 107: 3.3, 3.4

Section 3.2 on page 118: 3.16, 3.17, 3.18, 3.19, 3.20, 3.21, 3.22

Section 3.3 on page 126: 3.28, 3.29, 3.30, 3.31

HW 2 due

Section 5.1 on page 196: 5.3

Section 5.2 on page 204: 5.8, 5.9, 5.12, 5.13

Section 5.3 on page 216: 5.23, 5.24, 5.25, 5.27ab

Section 6.3 on page 253: 6.22, 6.23, 6.24, 6.25, 6.26, 6.27, 6.28, 6.29, 6.30, 6.31

Section 7.1 on page 290: 7.7, 7.8, 7.9, 7.10, 7.11

HW 3 due

Section 8.1 on page 316: 8.4, 8.5, 8.6, 8.7a, 8.9a

Section 8.2 on page 323: 8.14, 8.15, 8.16, 8.17a, 8.19a, 8.21a

Section 8.3 on page 328: 8.28, 8.29, 8.31, 8.32

Section 9.2 on page 365: 9.10, 9.11, 9.12, 9.13, 9.14, 9.15, 9.16, 9.17

Section 9.3 on page 371: 9.23, 9.24, 9.25, 9.28

Section 13.1 on page 526: 13.3, 13.4, 13.5

 

Exams: (there are no make-up exams; if you miss an exam, I will replace it with your score on the final exam)

Exam 1 on

- covers sections 2.1-2.4, 3.1-3.3

- important topics to review:

- frequency distributions, relative frequency distributions, cumulative frequency distributions, cumulative relative frequency distributions, percentage frequency distributions

- grouping data into classes

- histograms, bar charts, pie charts, stem-and-leaf diagrams, dot charts, frequency polygons, Pareto charts, frequency ogives

- measures of center and location: mean, median, mode, percentiles, quartiles, box and whisker plots

- measures of variation: range, variance, standard deviation, coefficient of variation, interquartile range

- the Empirical rule, Chebyshev’s theorem, z-scores

Exam 2 on

- covers sections 5.1-5.3, 6.3, 7.1

- important sections to review:

- definition of a discrete random variable, its expectation, variance and standard deviation

- definition of the binomial probability distribution (binomial formula); how to use the binomial probability distribution table; definition of expectation, variance and standard deviation; application problems

- definition of the normal probability distribution; definition of the z-distribution; how to use the z-distribution table; application problems

- sampling distribution of the mean, Central Limit Theorem

Exam 3 on

- covers sections 8.1-8.3, 9.1-9.3, 13.1-13.5

- important sections to review:

- confidence interval estimates for mean

- hypothesis tests for mean

- regression

 

Final exam:

-          covers all presented material in this course

-          date TBA