I will try to grade according to the following gradeĭescriptions prepared by the Faculty of Economics,Īdministrative, and Social Sciences: A: Outstanding performance during the course. Weighted as follows: Home works, quizzes and projects The course grade will be based on the following components, There will be two midterms and a final exam. Sometimes there will be a brief quizĭuring the lecture. Number of these homework's will be graded (homework's must be handed on Homework will be assigned almost every week and a random Multiple Linear Regression (sections 12.1-12.6).Conditional distributions, conditional expectation, and.Probability Theory: The case of several random variables: (sections 4.7 and 5.6).Testing for correlation between two variables (section 11.7) Estimating the correlation coefficient and distribution.Summarizing Descriptive Relations: Covariance and.Tests for goodness of fit (section 14.1 and 14.2).The Chi-Square Distribution and Analysis of Frequencies:.One-way analysis of variance (section 15.2).Types of errors and power of a test (section 9.5 and material covered in lecture).Test for the ration of two population variances (section 10.4).Test for the population variance (section 9.6).Test for the difference between populations proportions (section 10.3).Test for the difference between populations means (section 10.2).Test for the population mean (sections 9.2 and 9.3).Test for the population proportion (section 9.1, 9.4 and lecture notes).You can download OpenOffice from, LibreOffice from, and Gnumeric from. The statistical functions of Gnumeric is better than EXCEL but lacks some other futures. The spreadsheet futures of Calc is not as strongĪs EXCEL but you ca n do most of the homework's with it. OpenOffice and LibreOffice are free office suites that include a spreadsheet program (Calc). I would recommend the use of a spreadsheet program like EXCEL, Several of the homework's will require the use of a computer. Of random variables, covariance and correlation of a pair of Probability theory we will cover joint and marginalĭistributions, conditional expectation and variance, independence

Linear regression, and multiple linear regression. Goodness of fit, test for independence, correlation, simple We will cover theįollowing topics: hypothesis testing, analysis of variance, This course is a continuation of ECON 221. Econ 222 Introduction to Probability and Statistics II Homework ProblemsĮcon 222: Introduction to Probability and Statistics IIĮ-mail: hours: Monday 15:40, 16:40 (A-127), Thursday 13:40, 14:40 (A-127).

Openoffice calculate p value