Statistical topics covered will include estimation, hypothesis testing, regression and inference based on the normal distribution. This is a six day course, and the timetable is deliberately arranged so that there is a weekend break during the course.
The course covers:
Descriptive statistics; graphs, tables, summary statistics.
Introduction to estimation and confidence intervals.
The normal distribution; means and variances of sums of random variables; the Central Limit Theorem; the normal approximation to the binomial distribution.
Confidence intervals for means and proportions. Introduction to hypothesis testing.
Tests for differences in location between two populations with matched samples: sign test, Wilcoxon signed-rank test, t-test.
The relationship between confidence intervals and hypothesis testing.
Tests for differences in location between two populations with independent samples: t-test. Testing for difference in location of more than two populations.
Analysis of variance (F-test), multiple comparisons.
Two-way classifications: analysis of variance (F-test), interaction.
Determination of sample size. Design of experiments: randomization, blocking, replication, confounding. Standard designs.
Correlation and straight line regression. Multiple regression. Analysis of categorical data; contingency tables.
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Statistical Consulting Centre courses webpage