Sneak Peek

A Simple Introduction to Statistics with this self-paced online course

Understanding statistics can be a challenge for some, though it may be a necessity they cannot escape. This course was developed as a refresher for those who have studied statistics a long time ago, or equally for anyone new to the subject.

Who can benefit from studying Statistics?

• Managers who are trying to optimise the use of resources and money
• Academics who need to understand statistical data from colleagues
• Researchers seeking to develop projects that apply statistics
• Business owners or investors seeking to make better decisions based on data collected
  
  

Whats inside the 'Statistics- A Simple Introduction' Course?

LESSON 1 THE LANGUAGE

• Example
• Important Terms in Statistics
• Data Collection Method
• Statistical Method
• Descriptive Statistics
• Inferential Statistics
• Data Point
• Observation
• Data Set
• Research Population
• Data Sample
• Square Root
• Exponents and Roots
• Summation Sign
• Array
• Coefficient
• Constant
• Variable
• Independent and Independent Variable
• Univariate Data
• Bivariate Data
• Frequency Counts
• Frequency Distribution
• Grouped Frequency Table
• Cumulative Frequency
• Total Frequency
• Bi-Variate Frequency
• Class
• Class Interval
• Class Frequency
• Data Types
• Qualitative Data
• Quantitative Data
• Hypothesis
• Responsible Use Of Statistics
• The Use of Statistics in Everyday Life
• Lesson 1 Additional Reading
• More on Research Populations
• The Use of Statistics By Governments and Organisations
• Censuses
• Educational Data
• Developmental Data
• Health Data
• Economy
• Marketing and Analytics
• Review what you have been learning
  
  

LESSON 2 DATA COLLECTION

• Tools for Data Collection
• Collecting Data
• Quantity
• Timing
• Time
• Contamination/Bias
• Language
• Ethics
• Cost
• Source Reliability
• Example
• Sources of Data
• Steps in Data Collection
• Designing A Questionnaire
• Lesson 2 additional reading
• Review what you have been learning

LESSON 3 MEASURING THE CENTRE

• Mode, Mean, Median
• Mean
• Mode
• Median
• Range
• Standard Deviation
• Normal Distribution
• Which Measure Of Central Tendency To Use?
• Box and Whisker Plots
• Degrees Of Freedom
• Standard Deviation
• Lesson 3 additional reading
• Review what you have been learning
  

LESSON 4 DETERMINING LIKELIHOODS (INFERENTIAL STATISTICS)

• Measuring Probability
• Probability Parameters
• Discrete Variables
• Continuous Variables
• P-Values
• Statistical Significance
• Null and Alternate Hypothesis
• Errors in Hypothesis Testing
• Alpha
• Beta
• The T-Test
• Types of T-Tests
• A Review of Box and Whisker Plots Related to T-Tests
• Analysis of Variance (ANOVA)
• One-Way ANOVA
• Parametric and Non-Parametric Tests
• Review what you have been learning

LESSON 5 MEASURING CORRELATION

• Correlation
• Coefficient of Variation
• Linear Regression
• Simple Linear Regression Formula
• Conclusion
• Using Correlational Statistics
• So why bother with correlations at all?
• Lesson 5 additional reading
• Review what you have been learning
• Final Assessment