HRDF Course-Statistics Fundamental Training

Module 1 Basic Statistics

• Why Statistics Matter
• Mean and Median
• Range and Standard Deviation

Module 2 Types of Data

• Categorical Data
• Quantitative Data
• Normal Distribution

Module 3 Sampling

• Sampling Distribution
• Central Limit Theorem
• Confidence Interval

Module 4 Hypothesis Testing Using Z-Score

• Steps for performing a Hypothesis Test
• One Tailed vs Two Tailed Test
• Type 1 and Type 2 Errors

Module 5 Small Sample Sizes

• T Score vs Z Score
• T distribution and Degree of Freedom
• Confidence Interval of T-Score
• Hypothesis Testing using T-Score

Module 6 Comparing Two Populations (Means)

• Independent Samples vs Dependent Samples
• Confidence Interval of Difference Between Two Population Means
• 2-sample T Test
• Pooled Sample Standard Error

Module 7 Chi Square Test

• Chi Square Distribution
• Goodness of Fit Test

Module 8 ANOVA: Analysis of Variance

• One Way ANOVA
• Total Sum of Squares
• Within Variance and Between Variance
• F Statistic
• Two Way ANOVA

Module 9 Regression

• Linear Regression
• Multiple Regression
• Logistic Regression

Module 10 Correlation

• Two Factors Covariance
• Multiple Factors Covariance Matrix
• Two Factors Correlation
• Multiple Factors Correlation Matrix