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COURSE STRUCTURE
There are 10 lessons as follows:
- Introduction
- Distributions
- Measures of central tendency
- The Normal curve and Percentiles and Standard Scores
- Correlation
- Regression
- Inferential Statistics
- The t Test
- Analysis of variance
- Chi square test
Each lesson culminates in an assignment which is submitted to the school, marked by the school's tutors and returned to you with any relevant suggestions, comments, and if necessary, extra reading.
WHAT THE COURSE COVERS
Here are just some of the things you will be doing:
- To familiarise the student with different statistical terms and the elementary representation of statistical data.
- To familiarize the student with distributions, and the application of distributions in processing data.
- To apply measures of central tendency in solving research questions
- Demonstrate and explain the normal curve, percentiles and standard scores.
- To understand the methods of correlation that describes the relationship between two variables.
- To make predictions, with regression equations and determine how much error to expect, when making the predictions.
- To understand the basic concepts of underlying the use of statistics to make inferences.
- To examine the difference between the means of two groups with the t Test.
- Understand the use of ANOVA (Analysis of Variance) in analysing the difference between two or more groups.
- To introduce and apply the concept of Non Parametric Statistics.
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