g) Detailed Lesson Plan for Each Lecture

Week

1

 

Collection and classification of data

2

Measures of central tendencies

  • Mean
  • Median
  • Mode
  • Harmonic mean
  • Geometric mean

3

 Measures of dispersions

  • Range
  • Mean deviation
  • Variance and standard deviation
  • Coefficient of variation

4

Skewness and Kurtosis

5

Index Numbers

6

Index Numbers

7

Probability

  • Random Experiment. Event and its types.
  • Probability Rules

8
  • Addition and Multiplication laws of Probability
  • Relevant examples and exercises

9

Introduction to Statistics

  • Definition
  • Types of Statistics
  • Some Basic Concepts

10

Estimation

  • Definition
  • Estimates and estimators
  • Point and interval estimate
  • Confidence interval estimation for population mean

11
  • Confidence interval estimation for population mean
  • Relevant exercises

12

 

Hypothesis Testing

  • Definition
  • Types of hypotheses
  • Acceptance and rejection regions
  • Type 1 and type 11 errors
  • Significance level
  • One tailed and two tailed test

13
  • Hypothesis testing for population mean
  • Hypothesis testing for difference of population means
  • Relevant exercises

14

Regression and Correlation

  • Regression
  • Relevant exercises
  • Correlation
  • Relevant exercises
  • Coefficient of determination
  • Relevant exercises

15

Time series analysis

16

ANOVA