Define the term statistical hypothesis. A hypothesis that is testable on the basis of a process being observed through a set of random variables.
Define the terms null hypothesis and alternative hypothesis. The term null hypothesis refers to a general statement or a default position in which there is no relationship between two measured phenomena or no difference among groups.In other words, it is a simple hypothesis that is related to a contradiction to a theory that will be proved. While in an alternative hypothesis, there is a relationship between two measured phenomena or a hypothesis that is associated with a theory to be proved.
At which point in the process of statistical hypothesis testing do you choose …show more content…
Describe a type 2 error
It is described as the failure to reject a false null hypothesis.
In your own words, describe statistical inference It is defined as a process of deducing properties of an underlying distribution by analysis of data.
Read the courtroom trial example provided on the wiki site. Then answer the following questions:
What is the null hypothesis in a courtroom trial? A null hypothesis in a courtroom trial is the one in which the defendant is not guilty.
What is the alternative hypothesis in a courtroom trial? An alternative hypothesis refers when the defendant is guilty.
At the beginning of a court trial, the defendant's lawyer either states that the defendant pleads guilty or not guilty. What step in statistical hypothesis testing does this relate to? It is the first step in statistical hypothesis where the lawyer states the null and alternative hypothesis i.e. whether the defendant pleads guilty or not guilty.
If the defendant is actually innocent, but found guilty, what type of error is this? This is a type one error.
If the defendant is actually guilty, but found innocent, what type of error is