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BIT 2009

Statistics for Technology

0.5 credit · Undergraduate

This course covers statistical data analysis with an emphasis on hypothesis testing including parametric tests (e.g., t-tests, ANOVA) and non-parametric tests (e.g., Kruskal-Wallis, Friedman, chi-square), correlation and linear regression. Provides an introduction to probability theory and distributions (e.g. binomial, normal).

2022

Topics

  • Jane 25, 27 5.1 – 5.2,6.1 – 6.4 The Binomial and Normal distributions.
  • 10 for a population mean.
  • 17 population mean. Large sample confidence intervals for a population
  • 10 9.1 – 9.3, 9.5, 10.3
  • 17 9.4, 9.6, 9.7, 10.4, 10.4
  • 24 11.1-11.3, 11.9 Way Classification.
  • 7 12.4-12.5 Linear Regression and Correlation Continued
  • 14.1-14.3 Analysis of Categorical Data: Chi square Goodness of fit.

Readings

  • Introduction to Probability and Statistics (4th Canadian Edition by Mendenhall, Beaver, Beaver, and Ahmed).

Prerequisites & course information

Precludes additional credit for BIT 2000 , DATA 1517 , ECON 2210 , ENST 2006 , GEOG 2006 , STAT 2507 , STAT 2606, and STAT 3502 . Prerequisite(s): Restricted to students in the BIT degree program. Lectures three hours a week, tutorial/laboratory one hour a week.

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