   < Back Program Contents, page 1 of 1 Next >      ## Program Key Features

• Full colour animated graphics
• Optional voice commentary
• Glossary of all technical terms in the text
• Index to jump directly to any topic
• Bookmarking to return to any screen
• Tutors can create study plans for students
• Cross referenced to the author's textbooks
• User controls forward and backward progress
• Multiple methods of navigation
• Help button for all test questions
• Optional demonstration of how to use it
• Individual student progress logs
• Teaching sections followed by interactive test questions 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