Statistics for Economist II

1. Understand and apply probability distributions.
2. Perform and interpret hypothesis tests.
3. Apply sampling theory to statistical analysis.
4. Conduct and interpret t-tests, F-tests, and chi-square tests.
5. Apply simple linear regression analysis to economic problems.
6. Interpret the results of statistical analyses in economics.

13 weeks, about 102 hours in total. Yours will differ.

1. Week 1Module 1: Probability Distribution

   • Unit 1: Analysis of Probability Distribution · 6 hours

     Study the meaning of probability distribution and its applications.. Solve problems related to discrete probability distributions.. Understand the properties of probability distributions..

   • Unit 2: Continuous Random Variables · 6 hours

     Learn about continuous random variables and their applications.. Calculate distribution functions for continuous random variables.. Differentiate between discrete and continuous probability distributions..

2. Week 2Module 2: Hypotheses Testing

   • Unit 3: Other Probability Distributions · 6 hours

     Explore multinomial distributions and their applications.. Understand hyper geometric distributions and their uses.. Learn about uniform distributions and their properties..

   • Unit 1: Meaning of Hypothesis · 6 hours

     Understand the meaning of hypothesis testing and its importance.. Learn about Type 1 and Type 2 errors in hypothesis testing.. Apply hypothesis testing to solve economics problems..

3. Week 3Module 2: Hypotheses Testing

   • Unit 2: The Criterion of Significance · 6 hours

     Differentiate between one-tailed and two-tailed tests.. Understand the criterion of significance in hypothesis testing.. Learn the procedures for carrying out tests of hypotheses..

   • Unit 3: Statistical Test for Hypothesis · 6 hours

     Calculate statistical tests for the mean of a single population.. Calculate interval estimation for the mean of a single population.. Apply statistical tests for hypothesis testing..

4. Week 4Module 2: Hypotheses Testing

   • Unit 4: Testing Differences between Two Means · 6 hours

     Understand the test of difference between two means of independent samples.. Learn about confidence intervals for the difference between two means.. Apply the test of difference to solve problems..

   • Unit 5: Testing Difference between Matched Samples · 6 hours

     Calculate the mean of the population of different scores of t-statistic.. Understand the variance of the difference of scores.. Apply the testing difference between matched samples..

5. Week 5Module 3: Sampling Theory

   • Unit 1: Population and Sample · 6 hours

     Understand the meaning of sampling and its importance.. Learn about random samples and random numbers.. Differentiate between population and sample..

6. Week 6Module 3: Sampling Theory

   • Unit 2: Population Parameters · 6 hours

     Analyze population parameters and their significance.. Understand sample statistics and their uses.. Differentiate between population parameters and sample statistics..

7. Week 7Module 3: Sampling Theory

   • Unit 3: Sampling Parameters · 6 hours

     Understand the meaning of sampling error and its impact.. Learn about sampling distribution and its properties.. Understand the sampling distribution of the mean..

8. Week 8Module 3: Sampling Theory

   • Unit 4: Calculation of Sampling Distribution and Estimators for Mean Variance · 6 hours

     Estimate the mean and variance from a population.. Calculate the sampling distribution of proportion.. Apply the sampling distribution of proportion to solve problems..

9. Week 9Module 3: Sampling Theory

   • Unit 5: Frequency Distribution · 6 hours

     Calculate the sampling distribution of differences and sums.. Apply the sampling distribution of differences and sums to solve problems.. Understand the relationship between sampling distributions and statistical inference..

10. Week 10Module 4: T-Test, F-Test and Chi Square Analysis

    • Unit 1: T-test · 6 hours

      Understand the history and applications of t-tests.. Learn about unpaired and paired two-sample t-tests.. Apply the t-test formula to solve problems..

11. Week 11Module 4: T-Test, F-Test and Chi Square Analysis

    • Unit 2: F-test · 6 hours

      Know the various examples of F-tests statistics.. Understand the formulae and analysis of F-tests statistics.. Apply F-tests to solve problems related to variance..

12. Week 12Module 4: T-Test, F-Test and Chi Square Analysis

    • Unit 3: Chi-Square Test · 6 hours

      Know the examples of chi-square distribution.. Understand the application of chi-square analysis.. Apply chi-square analysis to solve problems related to categorical data..

13. Week 13Module 5: Simple Linear Regression Analysis and its Application

    • Unit 1: Meaning of Regression Analysis · 6 hours

      Know the uses of regression analysis.. Understand the three conceptualizations of regression analysis.. Apply regression models to analyze economic data..