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WorksheetsHypothesis Testing
Total questions: 25
Worksheet time: 25mins
Name
Class
Date
1.
The following are methods used to test hypotheses except:
a)
traditional (computed value) method
b)
p-value method
c)
confidence interval method
d)
survey method
2.
What hypothesis states equality or no difference, or no relationship/effect?
a)
statistical hypothesis
b)
null hypothesis
c)
alternative hypothesis
3.
What hypothesis states no equality or existence of differences, relationship, or effect?
a)
statistical hypothesis
b)
null hypothesis
c)
alternative hypothesis
4.
Which hypothesis is generally formulated to look for evidence to support a claim called a research hypothesis?
a)
statistical hypothesis
b)
null hypothesis
c)
alternative hypothesis
5.
In reality, the null hypothesis may or may not be true, and a decision is made to reject or not to reject it on the basis of the data obtained from a sample.
a)
True
b)
False
6.
The level of significance is the maximum probability of committing a type II error.
a)
True
b)
False
7.
A level of significance of 5% means:
a)
There's a 5% chance we're wrong
b)
There's a 5% chance we'll be wrong if we fail to reject the null hypothesis
c)
There's a 5% chance we'll be wrong if we reject the null hypothesis.
d)
There's a 5% chance you'll get an A on the test.
8.
Which value separates the critical region from the noncritical region in a normal curve when testing the hypothesis?
a)
computed value
b)
t-value
c)
z-value
d)
critical value
9.
Which of the following shows a right-tailed test?
a)
H1: µ < 15
b)
H0: µ < 15
c)
H1: µ > 15
d)
H0: µ > 15
10.
Which of the following shows a left-tailed test?
a)
H1: µ < 15
b)
H0: µ >15
c)
H1: µ > 15
d)
H0: µ > 15
11.
A Type I error is when:
a)
We obtain the wrong test statistic
b)
We reject the null hypothesis when it is actually true
c)
We fail to reject the null hypothesis when it's actually false
d)
We reject the alternate hypothesis when it's actually true
12.
Identify the correct null hypothesis:
a)
H0: p = 0.50
b)
H0: µ = 100
c)
H0: p = 0.48
d)
H0: µ = 96
13.
We conclude "Fail to reject H0". What could we use as our interpretation?
a)
The proportion of babies born male is not 0.50.
b)
There is not enough evidence to say that the proportion of babies born male is different from 0.50.
c)
There is not enough evidence to say that the proportion of babies born male is 0.50.
14.
A level of significance of 5% means:
a)
There's a 5% chance we're wrong
b)
There's a 5% chance we'll be wrong if we fail to reject the null hypothesis
c)
There's a 5% chance we'll be wrong if we reject the null hypothesis.
d)
There's a 5% chance you'll get an A on the test.
15.
Which of the following is not an option for an alternative hypothesis?
a)
Ha = k
b)
Ha > k
c)
Ha < k
d)
Ha ≠ k
16.
A car manufacturer advertises that its new subcompact models get 47 mpg. If μ is the mileage of these cars, what could be the null and alternate hypothesis if we wanted to check if the car's mpg is overrated?
a)
H0 = 47
Ha = 47
Ha = 47
b)
H0 = 47
Ha > 47
Ha > 47
c)
H0 = 47
Ha < 47
Ha < 47
d)
H0 = 47
Ha ≠ 47
Ha ≠ 47
17.
A result was said to be significant at the 5% level. This means:
a)
the null hypothesis is probably wrong
b)
the result would be unexpected if the null hypothesis were true
c)
the null hypothesis is probably true
d)
none of the above
18.
What does it mean to say a test is two-tailed?
a)
There is no predicted direction for the alternative hypothesis
b)
There are two alternative hypotheses
c)
There are two types of error
19.
Failing to reject a null hypothesis that is false can be characterized as
a)
a Type I error
b)
a Type II error
c)
both a Type I and Type II error
d)
no error
20.
A Type I error is when:
a)
We reject the null hypothesis when it is actually true
b)
We obtain the wrong test statistic
c)
We fail to reject the null hypothesis when it's actually false
d)
We reject the alternate hypothesis when it's actually true
21.
A P-value indicates:
a)
the probability that the null hypothesis is true
b)
the probability of obtaining the results (or one more extreme) if the null hypothesis is true
c)
the probability that the alternative hypothesis is true
d)
probability of a Type I error
22.
What separates the critical region from the noncritical region?
a)
critical value
b)
computed value
c)
z-score
23.
Type I error is also called
a)
beta error
b)
alpha error
c)
critical value error
24.
Which of the following yields correct decision?
a)
Accept a false null hypothesis
b)
Reject a true null hypothesis
c)
Accept a true null hypothesis
25.
If the test is two-tailed, the critical region, with an area equal to α, will be on the left side of the mean.
a)
True
b)
False
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