Statistics Course Description

This course provides a comprehensive introduction to statistics, covering fundamental concepts and techniques. Students will learn to collect, analyze, and interpret data to make informed decisions.

• What are Statistics? Definition, importance, and application of statistics.

What are Statistics? Definition, importance, and application of statistics.

• Types of Statistics: Descriptive and inferential Statistics.

Types of Statistics: Descriptive and inferential Statistics.

• Types of data: qualitative and quantitative data, level of measurement (Nominal, Ordinal, Interval, and Ratio).

Types of data: qualitative and quantitative data, level of measurement (Nominal, Ordinal, Interval, and Ratio).

• v Ungrouped vs Grouped data: Differences and applications.

v Ungrouped vs Grouped data: Differences and applications.

• Measure of central tendency: Mean, median, Mode.

Measure of central tendency: Mean, median, Mode.

• Measure of dispersion: Range, Variance, Standard Deviation, Mean Deviation

Measure of dispersion: Range, Variance, Standard Deviation, Mean Deviation

• Introduction to probability: Basic concepts, Rules, and applications.

Introduction to probability: Basic concepts, Rules, and applications.

• Introduction to Distribution: Normal distribution, Binomial distribution and Poisson distribution.

Introduction to Distribution: Normal distribution, Binomial distribution and Poisson distribution.

• Introduction to sampling distribution: Concepts, importance, and applications.

Introduction to sampling distribution: Concepts, importance, and applications.

•       Random variable, discrete and continuous random variables.

      Random variable, discrete and continuous random variables.

• Hypothesis testing, Types of error, Types of hypotheses.

Hypothesis testing, Types of error, Types of hypotheses.

• Experimental Design (ANOVA): Principles, types and applications.

Experimental Design (ANOVA): Principles, types and applications.

• Linear Regression and correlation coefficient: Simple linear Regression, correlation coefficient and interpretation.

Linear Regression and correlation coefficient: Simple linear Regression, correlation coefficient and interpretation.

Key Take away :

• Under Statistical concepts and techniques

Under Statistical concepts and techniques

• Collect, analyze, and interpret data.

Collect, analyze, and interpret data.

• Apply statistical methods to real-world problems.

Apply statistical methods to real-world problems.

• Make informed decision based on data analysis,

Make informed decision based on data analysis,

Course Objectives:

• Develop statistical literacy and critical thinking skills.

Develop statistical literacy and critical thinking skills.

• Apply statistical techniques to solve problems.

Apply statistical techniques to solve problems.

v Interpret and communicate statistical results effectively.

This course provides a solid foundation in statistics, preparing students for further study, enhanced researchers to understand the concepts of statistics as well as academician, for practical applications in various fields.