HPED 2030 Lecture Notes - Lecture 1: Sampling Distribution, Alternative Hypothesis, Type I And Type Ii Errors

• School: Mount Royal University
• Department: Health and Physical Education
• Course: HPED 2030
• Professor: Sommer Christie

Document Summary

Hypothesis testing and type 1 and type 2 errors (pg. Research hypothesis is defined as a scientific hunch that the investigator has about the outcome of a study. Decisions to accept or reject the research hypothesis must be based on an objective and logical statistical process which is generally known as hypothesis testing. The hypothesis test is a strict statistical process that built on making probability statements for two possible states of actuality. Researchers use these statistical tools to determine whether there anticipated results were correct. There is significance in understanding the nature, use and interpretation of a hypothesis test. 7. All hypothesis testing is based on the same logic. The two states of reality that the hypothesis test is predicated on are known as the null and alternative hypothesis. Sometimes these are known as statistical hypothesis since statistical procedures are used to estimate whether they are true or not.