Statistics For Management Sciences Ii

1. Apply statistical techniques to management problems
2. Interpret statistical data for decision-making
3. Perform correlation and regression analysis
4. Conduct hypothesis tests
5. Analyze time series data
6. Use statistical software for data analysis

13 weeks, about 88 hours in total. Yours will differ.

1. Week 1Module 1: Role and Concepts of Statistics

   • Unit 1: Role of Statistics (Application of Statistics) · 3 hours

     Understand the definitions of statistics. Describe the uses of statistics. Define the basic concepts in statistics..

   • Unit 2: Measurement of Variables · 3 hours

     Understand the meaning of variable and instances when it is applicable.. Differentiate between quantitative and qualitative variables, discrete and continuous variables.. Understand Nominal scale, Ordinal scale, Interest scale and Ratio scale.

2. Week 2Module 1: Role and Concepts of Statistics

   • Unit 3: Measures of Dispersion, Skewness and Kurtosis · 4 hours

     Understand the measurement of dispersion and skewness. Compute the mean, modal, and median sales for the sales reps.. Compute the standard deviation and coefficient of variation of the sales distribution. Compute the coefficient of skewness of the sales distribution.

   • Unit 4: Decision Analysis and Administration · 4 hours

     Understand the rudiments and applications of Administrative and Decision Analysis.. Solve problems using Decision Analysis.. Give the justification for using an expected monetary value objective in decision problems.. Understand Critical Examinations, Brain Storming or Group Creativity, Analogies, Morphological Approach or Attribute Listening and Heuristic Approach.

3. Week 3Module 2: INDEX NUMBER AND SAMPLING THEORIES

   • Unit 1: Index Number · 4 hours

     Understand the concept of index numbers, its uses and methods of calculation.. Calculate, use and interpret index numbers.. Understand inflation, cost of living, trends of economic variables.

   • Unit 2: Statistical Data · 4 hours

     Appreciate the purpose of statistical tests and data.. Understand the determination of whether some hypotheses are extremely unlikely given observed data.. Distinguish between primary and secondary data. Understand cross-sectional and panel data.

4. Week 4Module 2: INDEX NUMBER AND SAMPLING THEORIES

   • Unit 3: Sample and Sampling Theory · 4 hours

     Understand the art of sampling is a very valuable tool in collecting of data for planning and decision making.. Explain three non-probability sampling methods. Understand the advantages of telephone interview. Understand personal interview method of data collection.

   • Unit 4: Estimation Theory · 4 hours

     Understand the theory behind and the application of estimation in statistics.. Apply estimation theory to solving day-to-day business and economic problems.. Obtain first and second non-central moment and second central moment..

5. Week 5Module 3: CORRELATION AND REGRESSION ANALYSIS

   • Unit 1: Correlation Theory and Goodness of Fit · 4 hours

     Understand the theory behind and the application of correlation in statistics.. Apply correlation theory to solving day-to-day business and economic problems.. Explain with the use of diagram different types of correlation. Differentiate between strong positive correlation and negative correlation..

   • Unit 2: Pearson's Correlation Co-efficient · 4 hours

     Describe the computation of linear correlation coefficients. Apply the concept of correlations in business decisions.. Determine the correlation between X and Y.

6. Week 6Module 3: CORRELATION AND REGRESSION ANALYSIS

   • Unit 3: Spearman's Regression Analysis · 4 hours

     Explain the computation of rank correlation coefficients. Apply the concept of correlations in business decisions.. Use Spearman's rank correlation technique to evaluate the straight of relationship between the smokers.. Determine the relationship between the 2 test..

   • Unit 4: Ordinary Lease Square Estimation (Regression) · 4 hours

     Understand the theory behind and the application of regression analysis in statistics.. Apply regression analysis to solving day-to-day business and economic problems.. Estimate the regression equation by using the scatter diagram. Draw the scatter diagram and fit an exponential curve.

7. Week 7Module 3: CORRELATION AND REGRESSION ANALYSIS

   • Unit 5: Multiple Regression Analysis · 4 hours

     Understand the theory behind and the application of multiple regression analysis in statistics.. Apply multiple regression analysis to solving day-to-day business and economic problems.. Calculate the coefficient of linear multiple regression.

8. Week 8Module 4: STATISTICAL TEST

   • Unit 1: Hypothesis AND T-tests · 4 hours

     Understand Application of Hypothesis and t–distribution. Understand Test for single mean. Understand Assumptions for Student's test. Understand t-Test for difference of means.

   • Unit 2: F- Tests · 4 hours

     Understand Applications of the F-distribution. Understand For testing equality of population variances.

9. Week 9Module 4: STATISTICAL TEST

   • Unit 3: Chi-Square Distribution · 4 hours

     Understand Application of Chi-Square Distribution. Understand Chi-squared test of goodness of fit. Understand Steps for computing χ 2 and drawing conclusions. Understand Chi-Square test for independence of attributes.

10. Week 10Module 4: STATISTICAL TEST

    • Unit 4: ANOVA · 4 hours

      Understand Assumption for ANOVA test. Understand The one-way classification. Understand Bernoulli Distribution.

11. Week 11Module 4: STATISTICAL TEST

    • Unit 5: Forecasting and Time Series Analysis · 4 hours

      Understand Steps in Forecasting. Understand Types of Forecasts. Understand Methods of Forecasting. Understand Lease Squares or Trend Lines. Understand Lease Square Method.

12. Week 12Module 1: Role and Concepts of Statistics

    • Review of Module 1: Role and Concepts of Statistics · 6 hours

      Review all modules and units. Work on assignments. Prepare for TMAs.

13. Week 13Module 3: CORRELATION AND REGRESSION ANALYSIS

    • Review of Module 2: INDEX NUMBER AND SAMPLING THEORIES · 6 hours

      Review all modules and units. Work on assignments. Prepare for TMAs.

    • Review of Module 3: CORRELATION AND REGRESSION ANALYSIS · 6 hours

      Review all modules and units. Work on assignments. Prepare for TMAs.