STAT 515 (Statistical Methods I)

STAT 515 (Statistical Methods I)

Spring 2011

Instructor

David Hitchcock, assistant professor of statistics

Syllabus

Syllabus: (Word document) or (pdf document)

Office Hours -- Spring 2011

Mon 1:00 p.m.-2:00 p.m., Tues 11:00-11:55 a.m., Wed 1:00 p.m.- 2:00 p.m., Thu 11:00-11:55 a.m., Fri 10:30-11:30 a.m., or please feel free to make an appointment to see me at other times.

Office: 209A LeConte College
Phone: 777-5346
E-mail: hitchcock@stat.sc.edu

Class Meeting Time

Tues-Thurs 12:30PM -1:45PM, LC 210B

Current Textbook:

Statistics, 11th edition, by McClave and Sincich.

Course Description

515—Statistical Methods I. (3) (Prereq: a grade of C or higher in MATH 111 or equivalent) Applications and principles of descriptive statistics, elementary probability, sampling distributions, estimation, and hypothesis testing. Inferences for means, variances, proportions, simple linear regression, and contingency tables. Statistical packages such as SAS.

Learning Objectives: By the end of the term successful students should be able to do the following:

Understand and be able to correctly use basic statistical terms.

Recognize and evaluate variation in data using descriptive statistics, basic parameter estimation and hypothesis testing.

Compare data sets using descriptive statistics, parameter estimation, hypothesis testing and analysis of variance.

Recognize and evaluate relationships between two variables using simple linear regression.

Understand and be able to apply simple principles of probability.

Graded Assignments

Two in-term exams, plus a final exam. Quizzes twice a week.

Computing Tips: SAS

Introduction to SAS which should be a good instruction to the software

Instructions for SAS: summary statistics and graphs

SAS example code for rainfall data set (including how to get trimmed means)

Examples of finding binomial probabilities in SAS

Examples of finding Poisson probabilities in SAS

Examples of finding normal probabilities in SAS

Examples of calculating CIs for the mean in SAS

Example of PROC ANOVA in SAS

Example of PROC REG, PROC PLOT and PROC CORR in SAS (this example shows how to do regression, scatterplots, and correlation in SAS -- very important for your project!)

Example of CI for E(Y) and PI for new Y in SAS (based on reaction time data)

Complete Regression Example in SAS (from Sec. 11.9)

Output for Complete Regression Example in SAS

HELPFUL SAS RESOURCE:

SAS information from the STAT 515 course page

TROUBLESHOOTING:

How to correct graphs that print out very small in Word

Homework

All problem numbers are from Statistics, 11th edition, by McClave and Sincich.

Date	Homework Assigned this Date
Thursday, January 13	1.7, 1.13(b,c), 1.17, 1.19, 1.21, 2.11(a,b)
Tuesday, January 18	2.29, 2.31, 2.39, 2.43, 2.57, 2.59, 2.63, 2.67
Thursday, January 20	2.72, 2.73, 2.79, 2.81, 2.109, 2.115(c), 2.117, 2.125, 2.127, 2.129
Tuesday, January 25	5.55, 5.63, 3.15, 3.23, 3.27, 3.43, 3.49, 3.53
Thursday, January 27	3.63, 3.65, 3.71, 3.77, 3.85, 3.135, 3.165
Tuesday, February 1	4.3, 4.5, 4.15, 4.21, 4.35, 4.37, 4.41
Thursday, February 3	4.53(a,c,d,f), 4.55, 4.57, 4.61, 4.63, 4.65
Tuesday, February 8	4.79, 4.83, 4.85, 4.87(a,b,c)
Tuesday, February 15	5.5, 5.11, 5.15(a,d,e,f), 5.22, 5.25(a,b,c,d) Answers to 5.22 are: 0.4772, 0.3413, 0.4987, 0.2190
Thursday, February 17	5.23, 5.25(e,f,g,h), 5.33, 5.37, 5.39, 5.45, 5.47
Tuesday, February 22	5.73, 5.75, 5.77(a,b,d), 5.83, 6.2, 6.27
Thursday, February 24	6.31, 6.35, 6.37, 6.41(a,b), 6.43(a), 7.29
Tuesday, March 1	8.108, 9.90, 7.3, 7.7, 7.35, 7.39(a), 7.43(a,b) Answers to 8.108 are: 17.2750, 15.5073, 11.1433 (Recall that d.f. = n-1 for this problem.) Answers to 9.90 are: 4.82, 3.51, 6.62, 3.21
Thursday, March 3	7.3, 7.4, 7.44, 7.47, 7.51
Tuesday, March 15	7.53(a), 7.55, 7.59, 7.65, 7.68, 7.81 ** Answers to 7.68 are: (a) 225 (b) 267
Thursday, March 17	8.1, 8.3, 8.9, 8.13, 8.59(a,b), 8.63, 8.65
Tuesday, March 22	8.74, 8.75, 8.83, 8.85, 8.37, 8.39, 8.43, 8.44, 8.47 Answer to 8.44: 0.1096
Tuesday, March 29	8.45(ignore 8.45), 8.123, 8.127, 8.137
Thursday, March 31	9.33, 9.37, 9.39, 9.41, 9.5, 9.11(a)
Tuesday, April 5	9.13(assume equal population variances), 9.51, 9.55, 9.61, 9.63
Thursday, April 7	10.5, 10.11(a,b,c), 10.15, 10.17, 10.27, 10.31
Tuesday, April 12	11.17, 11.21, 11.25(c,d), 11.35(a,b), 11.41 Use solution to 11.25(b) to answer (c,d).
Thursday, April 14	11.47, 11.51, 11.63, 11.65(a,b), 11.69, 11.75, 11.77, 11.79(a)
Tuesday, April 19	11.91, 11.95, 13.5, 13.7(a), 13.9(a,b,c,d,e,f,g)
Thursday, April 21	13.21, 13.23, 13.29, 13.47(a,b)