Lesson Plan
week 1 Introduction to statistics, concept and understandings about estimation,definations of estimation ,Inferences. Concept about regression analysis ,real term examples in the feild of Business and commerce,where regression analysis can be used.
week 2 Regression analysis ,methods to estimate the population parameters,interpretation of results. numerical practice
week 3 Correlation, interpretation of the result, statistical inference in regression and correlation analysis.
week 4 Concepts and definitions of estimation, estimators and estimates ,point estimation, interval estimation ,criterias of good point estimators
week 5 Proofs of the criterias of good point estmators
week 6 Survey sampling and sampling distributions, advantages of sampling,probability and non-probability samplings,with and without replacement sampling,numerical solutions and practice
week 7 Understandings about hypothesis testing , introduction of the hypothesis testing based on "t" test ,hypothesis testing about mean of normal population when sigma is unknown and sample size is less than 30
week 8 Hypothesis testing about difference of means of two independent normal populations when standard deviations are not equal and unknown,problems practice
week 9 Hypothesis testing about difference of means of two independent normal populations when standard deviations are equal but unknown,situations and problems practice
week 10 Testing hypothesis about means of two means with paired observations,question practice and discussion about problems
week 11 The Chi square distribution and statistical inference based on chi square distribution.
week 12 Hypothesis testing of independency in the contigency table,question practice
week 13 Testing hypothesis of more than two means,ANOVA table, numerical practice
week 14 Discussion about problems related to ANOVA
week 15 Revision of topics
week 16 Revision of topics,discussion
- Chapters 8
- Department Noon Business School
- Teacher
Ms. Amna Hafeez
