MIS409 (MR-251)

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System Analysis and design (Spring 2025)

Instructors Md. Mahbobor Rahaman

Category BA Summer 2025

FREE

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Updated 18 May 2025

Lessons 21

Enrolled 11

Language English ‎(en)‎

Skill Level Beginner

Course Overview

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System Analysis and design (Spring 2025)

Teacher: Md. Mahbobor Rahaman

Skill Level: Beginner

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Course Content Overview 1. Introduction to Statistics Definition and Characteristics of Statistics Types: Descriptive vs. Inferential Statistics Importance, Scope, and Applications of Statistics in Business Limitations and Misuses of Statistics 2. Statistical Foundations Population vs. Sample Parameter vs. Statistic Data: Meaning, Types (Qualitative & Quantitative), Sources Data Collection Tools Variables: Definition and Types Levels of Measurement: Nominal, Ordinal, Interval, Ratio 3. Data Organization and Presentation Frequency and Relative Frequency Distributions Cumulative Frequency Distributions Graphical Representations: Histograms, Ogives, Bar Graphs, Pie Charts Pros and Cons of Graphical Methods 4. Measures of Central Tendency and Dispersion Ungrouped vs. Grouped Data Measures: Arithmetic Mean, Geometric Mean, Median, Mode Dispersion: Range, Average Deviation, Variance, Standard Deviation, Coefficient of Variation Uses, Merits, and Limitations 5. Exploratory Data Analysis Stem-and-Leaf Plot Quartiles, Deciles, Percentiles Box-and-Whisker Plot Mathematical Problems on Descriptive Measures 6. Correlation and Regression Bi-variate Data Analysis Scatter Diagrams Simple Correlation and Coefficient Calculation Simple and Multiple Linear Regression Adjusted R² and Coefficient of Determination Forecasting using Regression Equations 7. Probability Theory Concepts and Laws of Probability: Addition, Multiplication, Conditional, Independent, Complementary Bayes' Theorem 8. Probability Distributions Random Variables and Their Distributions Discrete Distributions: Binomial, Poisson Continuous Distributions: Normal Distribution and its Properties 9. Sampling and Sampling Distributions Population vs. Sample Census vs. Sampling Types of Sampling Techniques Sampling Error and Central Limit Theorem 10. Estimation and Confidence Intervals Concept of Estimation: Point and Interval Properties of a Good Estimator Confidence Intervals for Population Parameters 11. Hypothesis Testing Basic Terminology and Concepts Types of Hypotheses Level of Significance and Errors (Type I & II) Hypothesis Testing for: A Single Mean Difference Between Two Means

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