Author Question: Identify and describe the types of error, their associated terminology and symbology, and how they ... (Read 40 times)

jasdeep_brar · **on:** Jun 29, 2018

Identify and describe the types of error, their associated terminology and symbology, and how they are generally encountered in hypothesis testing.

Question 2

A t-test is appropriate for testing hypotheses about frequencies arranged in a frequency or contingency table.

Indicate whether the statement is true or false

Dinolord · **Reply #1 on:** Jun 29, 2018

Answer to Question 1

Type I error () is generally specified at the outset as a desired significance level (also = ) or confidence level (= 1). It signifies the probability of rejecting a true null hypothesis that is considered acceptable. The smaller is set, the larger the probability of a Type II error (), which is the probability of failing to reject a false null hypothesis. The probability of rejecting a false null hypothesis (1) is called the power of the test.

Answer to Question 2

F
A chi-square test is appropriate in this situation.