Data Analysis for Managers

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Presentation transcript:

Data Analysis for Managers MIS 131

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

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

Overview Prepared Present

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

Quizzes Unannounced Random In-class No make-ups

Statistical Software StatGraphics Plus Win ® Down Load SacLink Account

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

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

Grade Percents A 93 - 100% C+ 77 - 79 A- 90 - 92 C 73 - 76 B+ 87 - 89 C- 70 - 72 B 83 - 86 D+ 67 - 69 B- 80 - 82 D 63 - 66 D- 60 - 62 No Incomplete (I) F < 60

Academic Dishonesty Pledge Penalty

Course Outline Schedule will hold [additions may occur] Assignments given in class and via e-mail

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

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

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

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

Review Stat 1?

Review Levine, Prentice-Hall

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

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

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

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

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

Decision Results H0: Innocent Levine, Prentice-Hall

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

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

Questions?

ANOVA