Statistics is an important skill for anyone involved or are interested in the measurement and prediction of trends in either markets, science, the environment or health science.  It is one of the true tools that is cross-disciplinary.

Course Aims:

• Become familiar with different statistical terms and the elementary representation of statistical data.
• Become familia with distributions, and the application of distributions in processing data.
• Apply measures of central tendency in solving research questions
• Demonstrate and explain the normal curve, percentiles and standard scores.
• Explain methods of correlation that describes the relationship between two variables.
• Make predictions with regression equations.
• Determine how much error to expect when making the predictions.
• Explain the basic concepts of underlying the use of statistics to make inferences.
• Analyse the difference between the means of two groups with the t Test.
• Describe the use of ANOVA (Analysis of Variance) in analysing the difference between two or more groups.
• Apply the concept of Non Parametric Statistics

There are 10 Lessons in this course:

1. Introduction
2. Distributions
3. Measures of central tendency
4. The Normal curve and Percentiles and Standard Scores
5. Correlation
6. Regression
7. Inferential Statistics
8. The t Test
9. Analysis of variance
10. Chi square test