Question 1 (2 points)

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If studying reading and writing scores of high school students, the average difference between the scores of all high school students could be referred to as the

Question 1 options:

	standard mean estimate
	point estimate
	null parameter
	parameter of interest

Question 2 (4 points)

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Two t-test:

Test 1: Group A and B have mean difference = 10

Test 2: Group C and D have mean difference = 15

Test 1must be more significant than test 2

Question 2 options:

	True
	False

Question 3 (4 points)

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The larger thet-statistic, the less likely it is to be significant

Question 3 options:

	True
	False

Question 4 (4 points)

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As sample size increases, t-tests are more likely to be....

Question 4 options:

	It doesn't influence the statistic
	Nonsignificant
	Significant
	Effective

Question 5 (3 points)

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Which of the following are true?

Question 5 options:

	All chi-square values are positive
	All chi-square values are between -10 and +10
	None of these
	All chi-square tests are one-tailed

Question 6 (3 points)

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We have ap-value of 0.02 in a chi-square goodness of fit test. Which of the following can we conclude?

Question 6 options:

	The test is significant and we reject the alternative
	The test is not significant and we reject the alternative
	The test is significant and we reject the null
	The test is significant and we accept the alternative

Question 7 (3 points)

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For chi-square goodness of fit tests, as the observed and expected get further apart, which of the following is true?

Question 7 options:

	You cannot tell if the value increases or decreases
	Chi-square value increases
	Chi-square value decreases
	None of these

Question 8 (3 points)

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If you did multiple t-tests to see where group differences could be found, you would inflate

Question 8 options:

	Type I error
	Type III error
	Type II error
	Confidence intervals

Question 9 (3 points)

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When doing multiple comparisons after an ANOVA, the Bonferroni correction adjusts alpha by doing what?

Question 9 options:

	Decreasing degrees of freedom (df)
	Dividing by the square root of n
	Increasing beta
	Dividing alpha by the number of comparisons

Question 10 (3 points)

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Degrees of freedom for chi-square test of independence is equal to which of the following?

Question 10 options:

	{"version":"1.1","math":"$(\#rows - 1) * (\#columns -1)$"}
	{"version":"1.1","math":"$n-1$"}
	{"version":"1.1","math":"$(\#columns * \#rows) -1$"}
	{"version":"1.1","math":"$n_1+n_2-2$"}

Question 11 (3 points)

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We're interested in whether or not there is an association between number cats owned and number of dogs owned. Which test would you run?

Question 11 options:

	One-way ANOVA
	Linear regression
	Chi-square test of independence
	Chi-square goodness of fit

Question 12 (3 points)

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You are interested in seeing if there is a mean difference between number off hours spent watching baseball for Yankees fans and Red Sox fans. You would most likely want to run which test?

Question 12 options:

	Independent samples t-test
	ANOVA
	Correlation
	Dependent (paired) samples t-test

Question 13 (3 points)

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In ANOVA, sum of squares is very similar to variance except

Question 13 options:

	it is not scaled to sample size
	it squares the quantity as a final step
	it is an omnibus test
	it uses standard error instead

Question 14 (3 points)

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Degrees of freedom for ANOVA is the same as for independent samples t-test

Question 14 options:

	True
	False

Question 15 (3 points)

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Which of the following is true for the F and t-distributions?

Question 15 options:

	The F-distribution is one-tailed
	The t-distribution is used when you are uncertain of the F-distribution's parameters
	They are the same, except the t-distribution is one-tailed
	They are calculated the same way

Question 16 (3 points)

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You are interested in studying whether a diet helps people lose weight. You have a control and an experimental group, and want to know what test to run. You should use which of the following?

Question 16 options:

	ANOVA
	Dependent (paired) samples t-test
	Confidence interval
	Independent samples t-test

Question 17 (3 points)

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Which of the following is true of t-distributions?

Question 17 options:

	Unlike the normal distribution, it is not symmetrical
	None of these
	It has thicker tails than the normal distribution
	It has thinner tails than the normal distribution

Question 18 (3 points)

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The peak of the t-distribution is _____ compared to the normal distribution

Question 18 options:

	lower
	higher
	thicker
	equal in size

Question 19 (3 points)

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Which of the following will be true for confidence intervals constructed using the t-distributions as opposed to the normal? (Select all that apply)

Question 19 options:

	They will be more conservative
	They will be wider
	They will help mitigate for the effect of a less reliable estimate for standard error
	They will be thinner

Question 20 (3 points)

Saved

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If our sample size is _____, we often turn to the t-distribution

Question 20 options:

	large
	skewed
	unknown
	small

Question 21 (3 points)

Saved

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Which of the following are t-distribution parameters? (Select all that apply)

Question 21 options:

	none of these
	standard deviation
	mean
	degrees of freedom (df)