• Introduction to Statistics
• What is the type of Statistics
• Importance of Statistics
• Measure of Central Tendency
• Advantages and Disadvantages of Mean ,Median, and Mode
• Conversion of Ungrouped data to Grouped data
• Measure of Dispersion
• Data visualization
• Basic concepts of Probability
• Properties of Probability
• Introduction to Conditional Probability
• Introduction to Bayes Theorem
• Introduction to Random Variable
• Introduction to Mathematical Expectation
• Introduction to Distributions
• Introduction to Sampling Distribution
• Introduction to Central Limit Theorem
• Introduction to Estimation and Confidence Interval
• Hypothesis Testing
• Concept of Linear Regression and Correlation Coefficient
• Introduction to Experimental Design(ANOVA)

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.

• Types of Statistics: Descriptive and inferential Statistics.

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

• v Ungrouped vs Grouped data: Differences and applications.

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

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

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

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

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

•       Random variable, discrete and continuous random variables.

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

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

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

Key Take away :

• Under Statistical concepts and techniques

• Collect, analyze, and interpret data.

• Apply statistical methods to real-world problems.

• Make informed decision based on data analysis,

Course Objectives:

• Develop statistical literacy and critical thinking skills.

• 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.

Who this course is for:

• Students looking to improve their statistical knowledge for exams or projects
• Professional in fields like business,healthcare ,or social sciences who need data analysis skills
• Professors in without Statistical background
• Anyone curious about learning statistics from basic to advance level
• Anyone interest in understanding and applying statistical concepts to solve world data problem