The probability of committing a Type I error when the null hypothesis is tr

The probability of committing a Type I error when the null hypothesis is true 


1.	The sum of the values of  and 
a.	always add up to 1.0
b.	always add up to 0.5
c.	is the probability of Type II error
d.	None of these alternatives is correct.


	

	2.	What type of error occurs if you fail to reject H0 when, in fact, it is not true?
a.	Type II
b.	Type I
c.	either Type I or Type II, depending on the level of significance
d.	either Type I or Type II, depending on whether the test is one tail or two tail


	

	3.	An assumption made about the value of a population parameter is called a
a.	hypothesis
b.	conclusion
c.	confidence
d.	significance



	4.	The probability of committing a Type I error when the null hypothesis is true is
a.	the confidence level
b.	
c.	greater than 1
d.	the Level of Significance


	

	5.	In hypothesis testing, 
a.	the smaller the Type I error, the smaller the Type II error will be
b.	the smaller the Type I error, the larger the Type II error will be
c.	Type II error will not be effected by Type I error
d.	the sum of Type I and Ttype II errors must equal to 1



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