1. Data Analysis for Managers
MIS 131

2. Prerequisites
MATH 23 or 24
MIS 1 ABC
STAT 1
Exceptions?…none

3. Data Analysis for Managers
Required Text
Data Analysis for Managers
[Ninth Edition]
Taylor & Hopfe

4. Overview
Prepared
Present

5. Exams
Midterms
March 3rd
April 23rd
Optional Final
finals week

6. Quizzes
Unannounced
Random
In-class
No make-ups

7. Statistical Software
StatGraphics Plus Win ®
Down Load
SacLink Account

8. E-mail Distribution List
send to:
on subject line:
MIS131 Spring 2003
in message section: … leave blank
Last day to be added to the EDL is Friday, Feb 7th.

9. Grading Mid-Term Exams 100 points Quizzes 10 Cases 20 Homework varies
Research Project
Final Exam
Total (approximately) = 450

10. Grade Percents A 93 - 100% C+ 77 - 79 A- 90 - 92 C 73 - 76
B C
B D
B D D
No Incomplete (I) F < 60

11. Academic Dishonesty
Pledge
Penalty

12. Course Outline Schedule will hold
[additions may occur]
Assignments given in class and via

13. Cases team effort statistical analysis 1-3 members
based on provided data
Cross-Sectional
Time Series

14. Research Project team effort statistical-based 1-3 members
Time Series Analysis

15. Due Dates
At beginning of class
“Courtesy Extension Period”
(10 %)

16. Questions? Download software this week.
Install software NLT this week.

17. Review Stat 1?

18. Review
Levine, Prentice-Hall

19. Review mean and variance parameters vs. statistics random variables
sampling
sampling distribution

20. Review normal distribution confidence intervals hypothesis testing
p-value
z- vs. t-distribution

21. Data Types Cross Sectional
same random variable, multiple observations at a point in time
Time Series
same random variable, observations measured at consecutive equally spaced intervals of time

22. Variation
Common
Numerous small causes of variability that are inherent to any system, operate randomly or by chance
Specific
Assignable, have relatively large effects on process, occur occasionally or sporadic

23. Stable or Unstable? Stationary? Normality? Random?
Plot …..look at mean and variance
Normality?
Goodness of Fit Test -- Chi-Square
Random?
non-parametric test

24. Decision Results
H0: Innocent
Levine, Prentice-Hall

25. p-value
Probability of obtaining a test statistic more extreme (or than actual sample value given H0 is true
Called observed level of significance
Smallest value of  H0 can be rejected
Used to make rejection decision
If p-value  , reject H0
Levine, Prentice-Hall

26. z- or t-distribution? sample size? variance? n  30 n > 30 known
unknown

27. Questions?

28. ANOVA