Rise above the mean with statistics! Strengthen your career with this course in Statistics. If you want to develop scientifically-based research studies, this is your starting point. Learn how to interpret data sets, and how to prove your point based on scientifically proven methods
This course provides the most essential knowledge and skills required by consultants and researchers in a wide variety of disciplines. This course assumes a basic knowledge of Statistics, at least to the level covered by our Research Project I course.
Lesson Structure
There are 10 lessons in this course:
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.
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.
Analyze 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
