Program Key Features
Full colour animated graphics
Glossary of technical terms
Bookmarking Facility
Program Contents
Section 1. METHODS OF DATA COLLECTION
Why collect data?; Types of variable; Problems in data collection; Objectivity; Reactivity; Sampling: Problems and methods; Representative and unrepresentative samples; Methods of sampling; Measurement; Why measure?; Scales or levels of measurement; Test questions
Section 2. SUMMARIZING DATA
Why summarize data?; Typical scores; Mode; Median; Mean; Which should we use?; Measure of spread; Range; Interquartile range; Standard deviation; Which should we use?; Test questions
Section 3. VISUALIZING DATA
Why visualize data?; Stem-and-leaf diagram; Graphs of distributions; Histogram; Frequency polygon; Box-and-whisker plot; Bar chart; Test Questions; Graphs of relationships; Scatter plot; Line graph; Information required in graphs; Test questions
Section 4. CORRELATION AND ASSOCIATION
What is correlation?; Two types of correlation coefficient; Pearson correlation; Spearman correlation; Which type of correlation should we use?; Interpreting correlations; Correlation and prediction; Relatedness not equality; Correlation not causality; Relationships that are not straight lines; Range restriction; Test questions
Section 5. STANDARD SCORES AND THE NORMAL CURVE
The Normal distribution; Standard scores; Test questions;
Section 6. STATISTICAL INFERENCE
Why do we need statistical tests?; Probability and chance; Three requirements for confidence; Statistical significance; Directional and non-directional tests; Test questions
Section 7. STATISTICAL TESTS
Why use statistical tests?; Types of data; Counted data: Chi squared; Measured data in pairs; An example; One sample t-test; Wilcoxon test; Sign test; Measured data not in pairs; An example; Two-sample t-test; Mann-Whitney test; Median test; Test questions
Section 8. NECESSARY SKILLS
Interpreting statistical formulae; Using statistical tables; Test questions
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