This course is a rigorous introduction to statistical inference: probability theory, confidence intervals, and hypothesis tests. The course also covers regression analysis, which is developed in a non ...

Presents descriptive statistics, sophisticated counting techniques and other components of probability, simple random variables and their distribution, bivariate functions, sampling theory properties ...

Descriptive statistics are reported in the Results section. You will not normally report all of your raw data in the Results section, including it in an Appendix instead. Often the descriptive ...

For several weeks, the course will focus on statistics. Descriptive statistics, the normal distribution, probability, and regression will be studied. The purpose of this unit is to provide the student ...

They use the two major branches of statistical analysis: Descriptive statistics: Explains the properties of sample and population data Inferential statistics: Uses properties drawn from descriptive ...

We will use real-world examples from the social and natural sciences to establish the foundations of probability and distribution theory, and introduce important statistical skills, from descriptive ...

Descriptive statistics is a means of using summaries of a data sample to describe features of a larger data set. For example, a population census may include descriptive statistics regarding the ...

Conclusive research is a structured data collection technique that provides detailed, factual information that's useful in decision-making. Descriptive marketing research is a form of conclusive ...