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IS 242. Business Statistics

Credits: 4
Department: Information Systems
Description: Business problem solving: data collection, summarizing and describing data, estimation and hypotheses testing, analysis of variance, regression analysis, time series, quality control, decision analysis. Statistical software. Tutorial.
Prerequisites: MATH 115 or MATH 196 or MATH 211 (prereq.: MATH 111) or MATH 221 (prereq.: MATH 112)
Semester Offered:
  • Fall
  • Spring
  • Summer
Grading Method: ABCDF

Student Learning Outcomes

1. Select and use appropriate statistical methods, including: (a) study design (b) graphical and numerical summaries (c) probability models (d) z-scores and the normal distribution (e) one- and two-sample hypothesis tests and confidence intervals (f) chi-square tests (g) simple and multiple linear regression (h) analysis of variance (i) time series analysis (j) quality control (k) decision theory
2. Correctly analyze a business problem through the application of an appropriate statistical method and the appropriate use and interpretation of statistical software.
3. Evaluate the validity of a statistical analysis of data.

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