Statistics Fundamental Training for Beginners
About This Course
Embark on your journey into the world of statistics with our WSQ-endorsed Statistics Fundamental Training for Beginners course. This comprehensive training covers essential statistical concepts, including data collection, types of data, basic probability, and data interpretation methods. Through real-world examples and hands-on exercises, you'll gain the skills needed to understand, analyze, and interpret data in various contexts.
By the end of this course, you'll possess a strong foundational understanding of basic statistics. You’ll be equipped to tackle data with confidence, understand statistical tests, and make informed decisions based on your analyses. Whether you're entering the workforce, looking to upskill, or just interested in the power of data, this course serves as an excellent stepping stone into the world of statistics.
What You'll Learn
- apply descriptive statistics and probability theory to describe data
- apply sampling theory to estimate population statistics and confidence interval
- perform hypothesis testing for means and proportions
- perform goodness of fit testing
- perform analysis of variance testing
- perform regression statistical modeling
- determine correlation and covariance among multiple factors
Course Outline:
Topic 1 Introduction to Statistics
Why Statistics Matter
Categorical and Quantitative Data
Descriptive Statistics: Mean and Standard Deviation
Probability and Conditional Probability
Bayes Theorem
Discrete Probability Distributions
Continuous Probability Distributions
Software for Statistical Analysis
Topic 2 Sampling
Sampling Consideration
Central Limit Theorem
Sampling Distribution of the Mean
Standard Errors for Proportion and Mean
Confidence Interval
T-Statistics vs Z-Statistics
T-Score Table and Degree of Freedom
Calculating Confidence Interval of T-Score
Topic 3 Hypothesis Testing
Overview of Hypothesis Testing
Steps for Performing a Hypothesis Testing
One Tailed vs Two Tailed Hypothesis Testing
One Sample Hypothesis Testing
Two Sample Hypothesis Testing
Pooled Sample T-Test
Type 1 and Type 2 Errors
Topic 4 Chi Square Test
Chi Square Distribution
Goodness of Fit Test
Topic 5 ANOVA: Analysis of Variance
What is Analysis of Variance
One Way ANOVA
Total Sum of Squares
Within Variance and Between Variance (SSW and SSB)
Hypothesis Testing with F-Statistic
Topic 6 Regression
What is Regression?
Residues and Mean Square Error
Perform Regression Modeling
Topic 7 Correlation Analysis
What is Correlation Analysis?
Computation of Correlation Coefficient
Correlation and Covariance Matrices
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
• Minimum 18 years old