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Author Question: Identify and describe the types of error, their associated terminology and symbology, and how they ... (Read 74 times)

jasdeep_brar

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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


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Dinolord

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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.


jasdeep_brar

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Reply 2 on: Jun 29, 2018
YES! Correct, THANKS for helping me on my review

Sarahjh

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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