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Fundamentals of Hypothesis Testing Flashcards | StudBud
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Fundamentals of Hypothesis Testing
Fundamentals of Hypothesis Testing
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A quiz based on #hypothesis testing.
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15 cards
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Questions
15
Answers
1
BONUS: The
null
hypothesis contains an equality. Ex. the mean of a population is equal to 100.
False. (Not this one.)
True. (This one.)
2
A type 2 error is committed when:
You don't reject a null hypothesis that was false.
You don't reject a hypothesis that was true.
You reject a hypothesis that is true.
You reject a null hypothesis that was false.
3
The probability of a type _____ error is also called the "Level of Significance".
One
Two
4
Which of the following is an appropriate
null
hypothesis?
All of the above.
A mean of a population is equal to 100.
A mean of a population is greater than 100.
The mean of a sample is equal to 50.
5
If the p-value is
less
than
α
then:
A one-tail test should be used.
The null hypothesis should be rejected.
The null hypothesis should not be rejected.
No conclusion can be reached.
6
The probability of a type 1 error is represented by the symbol _____.
α
μ
ρ
β
7
The ______ the p-value, the greater the evidence against the null hypothesis
Smaller.
Larger.
8
The larger the p-value, the more likely you are to reject the
null
hypothesis.
False.
True.
9
Which of the following is an appropriate
alternative
hypothesis?
A mean of a population is greater than 100.
The mean of a sample is equal to 50.
All of the above.
A mean of a population is equal to 100.
10
H
o
:μ represents the _____ hypothesis; H
a
:μ represents the _____ hypothesis.
Null; Alternative
Alternative; Null
11
If you reject the hypothesis when it is false, then you have committed:
A type 1 error.
A type 2 error.
A type 1 and type 2 error.
No error.
12
A type 1 error is committed when:
You don't reject a null hypothesis that is true.
You reject a hypothesis that is true.
You don't reject a null hypothesis that is false.
You reject a null hypothesis that is false.
13
P-value is the probability of getting your sample statistics when your hypothesis is true.
True.
False.
14
Therefore, the smaller the p-value, the more likely you are to reject the
null
hypothesis.
False.
True.
15
A test of hypothesis has a type 1 error with a probability (α) of 0.01. Therefore:
Null hypothesis is true - you don't reject it 1% of the time
Null hypothesis is true - you reject it 1% of the time
