Diploma in Statistics | Units, Syllabus & Study Materials - YNetStudyHub
Diploma (TVET Level 5)

Diploma in Statistics Verified Syllabus

Master Diploma in Statistics with structured academic semester units, topic lecture notes, past examinations, CATs, and interactive 24/7 AI tutor support on YNetStudyHub.

10 Semester Units 97 Curriculum Topics 2-3 Years TVET Level 5 CDACC / KNEC Aligned 24/7 AI Tutor Enabled
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10 Units
97 Syllabus Topics
2-3 Years Duration
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Course Units & Curriculum 10 Units

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Descriptive Statistics
10 Topics
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1 Boxplots
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2 Correlation Analysis
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3 Frequency Distributions
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4 Introduction to Descriptive Statistics Free Preview
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5 Measures of Central Tendency
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6 Measures of Variability
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7 Outliers and Influential Points
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8 Percentiles and Quartiles
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9 Skewness and Kurtosis
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10 Standard Scores (Z-Scores)
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1 Experimental Design Applications
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2 Experimental Design Case Studies
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3 Experimental Design Ethics
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4 Experimental Design Validity
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5 Introduction to Experimental Design Free Preview
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6 Randomization and Control in Experiments
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7 Sampling Techniques in Experimental Design
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8 Statistical Analysis in Experimental Design
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9 Types of Experimental Designs
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10 Variables in Experimental Design
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1 ANOVA (Analysis of Variance)
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2 Chi-Square Test
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3 Hypothesis Testing in Regression
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4 Introduction to Hypothesis Testing Free Preview
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5 One-Sample Hypothesis Tests
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6 Power of a Hypothesis Test
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7 Practical Applications of Hypothesis Testing
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8 Two-Sample Hypothesis Tests
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9 Type I and Type II Errors
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10 Types of Hypothesis Testing
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1 Correlation and Regression Analysis
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2 Data Visualization
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3 Descriptive Statistics
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4 Inferential Statistics
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5 Overview of Statistics Free Preview
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6 Practical Applications of Statistics
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7 Probability Distributions
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8 Probability Theory
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9 Sampling Methods
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10 Statistical Inference
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Past examination papers for this unit are being compiled.
1 Canonical Correlation Analysis
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2 Cluster Analysis
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3 Discriminant Analysis
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4 Factor Analysis
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5 Introduction to Multivariate Analysis Free Preview
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6 Multivariate Analysis of Variance (MANOVA)
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7 Multivariate Data Types
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8 Multivariate Data Visualization
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9 Multivariate Normal Distribution
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10 Principal Component Analysis (PCA)
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1 Applications of Probability Theory
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2 Bayes' Theorem
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3 Central Limit Theorem
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4 Combinatorics and Probability
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5 Conditional Probability
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6 Expected Value and Variance
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7 Hypothesis Testing
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8 Introduction to Probability Theory Free Preview
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9 Probability Distributions
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1 Assumptions of Regression Analysis
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2 Interaction Effects in Regression
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3 Introduction to Regression Analysis Free Preview
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4 Model Evaluation and Selection
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5 Multicollinearity and its Effects
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6 Multiple Linear Regression
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7 Polynomial Regression
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8 Practical Applications of Regression Analysis
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9 Residual Analysis
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10 Simple Linear Regression
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Past examination papers for this unit are being compiled.
1 Analysis of Variance (ANOVA)
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2 Chi-Square Tests
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3 Confidence Intervals
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4 Hypothesis Testing
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5 Introduction to Statistical Inference Free Preview
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6 One-Sample and Two-Sample Tests
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7 Parametric vs. Nonparametric Tests
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8 Power and Sample Size Calculations
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9 Sampling Methods
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10 Types of Errors in Hypothesis Testing
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Past examination papers for this unit are being compiled.
1 Advanced Analysis Techniques
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2 Data Import and Management
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3 Data Visualization
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4 Descriptive Statistics
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5 Ethics and Best Practices in Statistical Software Applications
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6 Inferential Statistics
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7 Introduction to Statistical Software Free Preview
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8 Reporting and Presenting Results
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9 Statistical Programming
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1 Advanced Time Series Models
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2 Introduction to Time Series Analysis Free Preview
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3 Seasonal Adjustment
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4 Stationarity in Time Series
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5 Time Series Components
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6 Time Series Decomposition
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7 Time Series Forecasting
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8 Time Series Model Evaluation
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9 Time Series Visualization
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Past examination papers for this unit are being compiled.

Curriculum Architecture

This program is structured into comprehensive academic units combining theoretical foundations, analytical research, practical tutorials, and continuous assessments. Each unit is mapped to key learning outcomes aligned with higher education qualification frameworks.

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Career & Professional Trajectories

Graduates of Diploma in Statistics are qualified for diverse professional opportunities across industry, public service, corporate consulting, research institutions, international organizations, and postgraduate specialization.

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