Course: Statistics 2 – Inference and Association


  • 10 January 2014
  • Organiser:
  • Event Details

Aim of Course:

This course, the second in a three-course sequence, provides an easy introduction to inference and association through a series of practical applications, based on the resampling/simulation approach. Once you have completed this course you will be able to test hypotheses and compute confidence intervals regarding proportions or means, computer correlations and fit simple linear regressions. Topics covered also include chi-square goodness-of-fit and paired comparisons.

Course Program:

WEEK 1: Confidence Intervals for Proportions and Means

CI Proportion
CI Mean
CI Difference in Means
CI Difference in Proportions
Hypothesis Tests vrs. Confidence Intervals

WEEK 2: Tests for Two Means, Proportions; Paired Comparisons

Test 2 Means
Test 2 Proportions
Paired Comparisons
1-way and 2-way hypotheses

WEEK 3: Chi-Square, Directional Hypotheses

More than 2 Samples
Chi Square
Goodness of Fit
Null and Alternative Hypotheses
1-Way and 2-Way Hypotheses

WEEK 4: Simple Linear Regression

Simple Regression
Regression Inference

Please note this is an online course running until 7th February 2014.

Related Topics

Related Publications

Related Content

Site Footer


This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.