Instructors
Dr. Raphael Bahati
CEO & FounderE-mail: rbahati@bahatiacademy.com
“Statistical inference, experimental design, sampling design, confidence intervals and hypothesis tests for means and proportions, regression and correlation.”
“An introductory course in the application of statistical methods, intended for honors students in departments other than Statistical and Actuarial Sciences, Applied Mathematics, Mathematics, or students in the Faculty of Engineering. Topics include sampling, confidence intervals, analysis of variance, regression and correlation. Cannot be taken for credit in any module in Statistics, Actuarial Science, or Financial Modeling.”
“Descriptive statistics and graphs, probability and distributions. Sampling, hypothesis testing, and confidence intervals. Experimental design and analysis of variance. Regression and correlation, including multiple regression. Applications emphasized. This course cannot be taken for credit in any module in Statistics, Actuarial Science, or Financial Modelling.”
“An introduction to econometric description and inference which covers: descriptive statistics for cross-section and time-series samples, probability; probability distributions and random variables; estimators and sampling distributions; confidence intervals and tests of hypotheses; simple linear regression.”
“An introduction to econometric description and inference which covers: descriptive statistics for cross-section and time-series samples; probability, discrete and continuous probability distributions, random variables; estimators and sampling distributions; confidence intervals and tests of hypotheses; simple linear regression for normal and non-normal populations. ”
“Introduction to data analysis with particular reference to statistical procedures commonly used in Psychological research.”
“An introduction to the design, conduct, and statistical analyses of psychological research. The intent is to provide students with knowledge of how to implement and evaluate research in both laboratory and applied settings. Design and statistical analysis will be taught in the context of specific studies and data sets from correlational, experimental, quasi-experimental and qualitative research. Written research projects will be required.”
“An advanced treatment of the collection, analysis and interpretation of behavioral data, reviewing and extending the topics covered in Psychology 1100E; problems in the design and conduct of studies and experiments, operational definitions, experimental control and recording of behavior; statistical treatment of data, including descriptive and inferential statistics.”
“This course provides an introduction to techniques of statistical analysis with an emphasis an application in Psychology. Topics include descriptive statistics, the normal distribution, probability, inferential statistics, and hypothesis testing. Also included will be discussion on the interpretation of statistics in other research designs including correlation, repeated samples testing and analysis of variance.”
“This course covers most statistical procedures used in psychological research, and the use and interpretation of SPSS for Windows. Topics covered include the t-test, various forms of analysis of variance, chi-square, bivariate and multiple regression and correlation, factor analysis, and Monte Carlo methods.”
“This is an introductory course to Statistical analysis, through which you will learn basic quantitative techniques used by social scientists. These include descriptive statistics, the normal curve, hypothesis testing and various measures of association. Students will learn to calculate statistics by hand and by using statistical software. While this course does not require a high level of math ability, it is expected that the students understand basic mathematical operations, and that they can operate a calculator. A pocket calculator that has a square root function (and preferably a memory) is required for this course. ”
“The purpose of this course is to introduce students to quantitative decision-making skills, with an emphasis on analysis techniques used in management. Topics include: descriptive statistics, probability, hypothesis testing, analysis of variance, correlation and regression, time series forecasting, and survey techniques. ”
“The purpose of this course is to introduce students to quantitative decision-making skills, with an emphasis on analysis techniques used in management. Topics include: descriptive statistics, probability, hypothesis testing, analysis of variance, correlation and regression, time series forecasting, and survey techniques. ”
E-mail: rbahati@bahatiacademy.com
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