1 of20

In hypothesis testing, the hypothesis which is tentatively assumed to be true is called the

	correct hypothesis
	null hypothesis
	alternative hypothesis
	level of significance

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2 of20

Hypotheses in a significance test are always stated in terms of the population parameters.

	True
	False

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3 of20

When a sample statistic is close to the hypothesized population parameter, the p-value for a significance test will typically be low.

	True
	False

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4 of20

The alternative hypothesis states that there is no difference/no effect.

	True
	False

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5 of20

When testing the following hypotheses Ho: 0.7, Ha: > 0.7 The null hypothesis will be rejected if the test statistic z is

	z > za
	z < za
	z < -za
	none of the above

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6 of20

A hypothesis test in which rejection of the null hypothesis occurs for values of the point estimator in either tail of the sampling distribution is called

	the null hypothesis
	the alternative hypothesis
	a one-tailed test
	a two-tailed test

Question

7 of20

A consumer agency wants to test whether gallon milk prices have dropped below the $3 level and has gathered sample data showing the mean of the sample is $2.85. At the =.05 level of significance, is there enough evidence to conclude that the mean price of a gallon of milk is less than $3.00? Which would be correct hypotheses for this test?

	Ho: $3, Ha: > $3
	Ho: < $3,="" ha:="" ="$3" $3,="" ha:="" ="">
	Ho: $3, Ha: = $3
	Ho: = $3, Ha: $3
	Ho: $3, Ha: < $3="">

Question

8 of20

If the results of a hypothesis test are significant at the 1% level then they are also significant at the 5% level

	True
	False

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9 of20

We always test a null hypothesis against an alternative.

	True
	False

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10 of20

It is claimed that 66% of Boston residents have considered moving to a warmer climate. A group of city council members is hoping that the actual figure is lower than that, and wish to conduct a hypothesis test at the =.05 level of significance to determine if they are right. Which would be correct hypotheses for this test?

	Ho: 0.66, Ha: < 0.66
	Ho: 0.66, Ha: = 0.66
	Ho: 0.66, Ha: > 0.66
	Ho: < 0.66, Ha: = 0.66
	Ho: = 0.66, Ha: 0.66

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11 of20

If the p-value is .013, the probability that Ho is true is only .013

	True
	False

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12 of20

If a p-value for a 2-sided test equals .065, the p-value for the 1-sided test using the same sample data will not be significant at the 1% level.

	True
	False

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13 of20

For finding the p-value when the population standard deviation is unknown we use

	the z distribution
	the t-distribution with n - 1 degrees of freedom
	the t-distribution with n + 1 degrees of freedom
	none of the above

Question

14 of20

A statistics professor announces to the class that a majority of students who take his class earn an A. A skeptical group of students suspects that this is too good to be true. If they were going to conduct a hypothesis test, what would the appropriate hypotheses be?

	Ho: < 0.50, Ha: = 0.50
	Ho: = 0.50, Ha: < 0.50
	Ho: > 0.50, Ha: = 0.50
	Ho: = 0.50, Ha: > 0.50

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15 of20

A t-test is used when the population standard deviation for a mean is unknown.

	True
	False

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16 of20

If our sample value is close to the null/population value, we conclude that

	we can neither accept or reject the null.
	something happened in the study; there is a significant effect.
	nothing happened in the study; there is no effect.
	something happened in the study, but the effect is very small.

Question

17 of20

Which of the following does not need to be known in order to compute the P-value?

	knowledge of whether the test is one-tailed or two-tailed
	the value of the test statistic
	the level of significance
	all of the above are needed
	none of the above are needed

Question

18 of20

If our P-value is really small, that indicates which of the following? (Select all that apply)

	The probability of our observed results occurring given the null hypothesis is very small, thus the null hypothesis is probably not true.
	The null hypothesis is true.
	The probability of our observed results occurring given the null hypothesis is very small, thus the null hypothesis is probably true.
	We should fail to reject the null hypothesis.
	We should reject the null hypothesis.
	The null hypothesis is false.

Question

19 of20

Which of the following is the first step in hypothesis testing?

	It does not matter where you begin when you test hypotheses.
	Developing a null and alternative hypothesis.
	Drawing a sample from the population.
	Setting the cutoff value for rejecting the null hypothesis.

Question

20 of20

Let's suppose we conduct a hypothesis test about the mean value of something, and determine that we should reject the null hypothesis. What does that mean?

	Our hypothesized mean has been proven incorrect.
	The difference between our sample mean and our hypothesized mean was most likely due to random chance.
	The difference between our sample mean and our hypothesized mean was statistically significant.
	The difference between our sample mean and our hypothesized mean was not statistically significant.