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 ...

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 ...

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

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 ...

Nonparametric statistics include nonparametric descriptive statistics, statistical models, inference, and statistical tests. The model structure of nonparametric models is not specified a priori ...

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 ...

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 ...

When a physician says a procedure is "rarely risky," what does that really mean? Although terms like "common" and "unlikely" ...

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 ...