1. Statistics 501 Methods of Applies Statistics Using MINITAB Fall 2012 TuTh 11:15AM-12:30PM Rm219 Professor H. K. Hsieh (“Shay”) www.math.umass.edu/hsieh/stat501

2. Course Information Instructor: Professor H. K. Hsieh (“Shay”) Contact Information: LGRT 1444, (O) 545- 1796; (Cell) 548-0798 Email: hsieh@math.umass.eduhsieh@math.umass.edu Texbook: Introduction to probability & Statistics, by Mendenhall, Beaver & Beaver, 13 th edition, Brooks/Cole, 2009.

3. MINITAB Statistical Software MINITAB software is available on most university public computers (e.g., in Tower Library basement). Minitab-16 is the latest version. Minitab-16 is the latest version. You can download to rent for 1 year ($29.99) or purchase it perpetually ($99.99) (if you want to use for your research work) through www.onthehub.com/minitab/ Free-trial is only for 30 days, and cannot be renewed on the same computer.

4. Requirements Qualification: junior, senior or graduate students with logical thinking ability. Motivation to learn statistics is essential. As the teaching is intensive, students are expected to attend all lectures if possible. HW 30%, Test I 20%, Test II 20%, Final Exam 30%. Grade: A(95-100), A-(90-94), B+(86-89), B(81-85), B-(78-80), C+(75-77), C(71-74), C-(66-70), D+(61-65), D(56-60), F(0-55)

5. Syllabus Statistical analysis using MINITAB with emphasises on identifying questions to be answered, how to use MINITAB and interpret computer outputs: Exploratory data analysis - population, sample, frequency distribution, empirical distribution, dot plots, stem and leaf plots, histogram, quantiles, interquartile range, box plots, sample mean, sample variance; Bivariate/multivariate Data - side-by-side box plots, scatter plots; matrix scatter plots;

6. Probability concepts -- sample space, events and their probabilities, random sampling Random variables and their distributions, Expected value and variance of a random variable (discrete or continuous), binomial, hyper- geometric, and normal distributions Sampling distribution -- random samples, statistic, sampling error Sampling distribution of mean and proportion Law of large numbers, Central limit theorem

7. Statistical Inference Estimation of parameters – point estimation and interval estimation for means and proportions Hypothesis testing for means and proportions -- one-sided, two-sided tests one-sample t, two-sample t, paired t Testing equality of variances;

8. Regression Analysis Simple and multiple regression analysis Correlation, least squares principles Confidence interval for coefficients, mean response, single response Logistic regression Principal components analysis Time series modeling

9. Analysis of variance Testing equality of two or more population means, multiple comparisons Two-factor ANOVA – testing for interactions, comparing means when interactions exist, and when interactions do not exist Design by blocks

10. Analysis of categorical data Contingency tables multinomial experiments, chi-square goodness-of-fit test Tests based on ranks Wilcoxon rank-sum test, Wilcoxon signed rank test Correlation based on ranks.

11. Home work sets Write or type on 8x11 size paper Write “Stat501” and your name on top of 1st page, and write and explain solutions according to problem number sequence Referring your answers to computer outputs attached to the end of homework. Computer output must be attached if computer is used for computation, otherwise no points will be creidted.

12. Staple up the papers. Homework is expected to be turned in in time; 20% off if turned in the 2nd day, 50% off if turned in 3rd day, and no point afterwards.