Formulate and evaluate hypothesis tests for population parameters based on sample statistics using both Critical Regions and P-Values, and be able to state results in a non-technical way that can be understood by consumers of the data instead of statisticians.
You are a statistician working for a drug company. A few new scientists have been hired by your company. They are experts in pharmacology, but are not experts in doing statistical studies, so you will explain to them how statistical studies are done when testing two samples for the effectiveness of a new drug. The two samples can be dependent or independent, and you will explain the difference.
Concept being Studied
Your focus is on hypothesis tests and confidence intervals for two populations using two samples, some of which are independent and some of which are dependent. These concepts are an extension of hypothesis testing and confidence intervals which use statistics from one sample to make conclusions about population parameters.
What to Submit
Your research and analysis should be presented on the Word document
provided. All calculations should be provided on a separate Excel workbook that should be submitted to your boss as well.
|Not Submitted||No Pass||Competence||Proficiency||Mastery|
|Not Submitted||Did not correctly solve a majority of the problems or at least one problem left blank.||Correctly solved a majority of the problems.||Correctly solved almost all the problems.||All problems are solved correctly.|
|Not Submitted||Very few steps are provided to explain how to solve the problem OR the steps provided have several errors.||Fairly complete and detailed steps are provided to explain how to solve the problem OR the steps provided have some errors.||Mostly complete and detailed steps are provided to explain how to solve the problem.||Complete and detailed steps are provided to explain how to solve the problem.|
|Not Submitted||Explanations generally lack a basic understanding of the statistical concepts or lack of proper terminology.||Explanations demonstrate a basic understanding of most of the statistical concepts and terminology, but some explanations may be incomplete or incorrect.||Explanations demonstrate a proficient understanding of most of the statistical concepts and terminology, but with small errors.||Explanations demonstrate a mastery of understanding of the statistical concepts and terminology.|
|Not Submitted||The majority of variables, equations, and expressions are not properly formatted.||The majority of variables, equations, and expressions are properly formatted.||Almost all variables, equations, and expressions are properly formatted.||All variables, equations, and expressions are properly formatted.|