Question
Question 1 (3 points) I have a 10-sided die. I roll it 50 times and count up the number of rolls for each side. I'm
Question 1 (3 points)
I have a 10-sided die. I roll it 50 times and count up the number of rolls for each side. I'm interested in whether or not this die was evenly weighted. The chi-square goodness of fit test would be appropriate to investigate this question.
Question 1 options:
True | |
False |
Question 2 (3 points)
Listen
We have a sample of 400 jurors, each of which identifies as a particular racial group. We want to know if these are representative of a known population, based on percentages. Which should we run?
Question 2 options:
Chi-square goodness of fit | |
ANOVA | |
t-test | |
Chi-square test of independence |
Question 3 (3 points)
Listen
Chi-square goodness of fit tests utilize two or more categorical variables
Question 3 options:
True | |
False |
Question 4 (3 points)
Listen
We have two categorical variables and are interested in whether or not there is an association between them. We would use which test?
Question 4 options:
Chi-square goodness of fit | |
Chi-square test of independence | |
None of these | |
ANOVA |
Question 5 (3 points)
Listen
Degrees of freedom for a chi-square test of independence is equal to which of the following?
Question 5 options:
{"version":"1.1","math":""} | |
{"version":"1.1","math":""} | |
{"version":"1.1","math":""} | |
{"version":"1.1","math":""} |
Question 6 (2 points)
Listen
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 6 options:
parameter of interest | |
point estimate | |
null parameter | |
standard mean estimate |
Question 7 (3 points)
Listen
Which of the following is true of t-distributions?
Question 7 options:
It has thicker tails than the normal distribution | |
It has thinner tails than the normal distribution | |
None of these | |
Unlike the normal distribution, it is not symmetrical |
Question 8 (3 points)
Listen
If our sample size is _____, we often turn to the t-distribution
Question 8 options:
unknown | |
skewed | |
small | |
large |
Question 9 (3 points)
Listen
The peak of the t-distribution is _____ compared to the normal distribution
Question 9 options:
higher | |
equal in size | |
lower | |
thicker |
Question 10 (3 points)
Listen
In a t-distribution, observations are _____ likely to fall 2 standard deviations beyond the mean
Question 10 options:
none of these | |
equally | |
less | |
more |
Question 11 (3 points)
Listen
As degrees of freedom increase, the t-distribution approximates the normal
Question 11 options:
True | |
False |
Question 12 (3 points)
Listen
If you did multiple t-tests to see where group differences could be found, you would inflate
Question 12 options:
Type I error | |
Type II error | |
Type III error | |
Confidence intervals |
Question 13 (3 points)
Listen
When doing multiple comparisons after an ANOVA, the Bonferroni correction adjusts alpha by doing what?
Question 13 options:
Dividing by the square root of n | |
Dividing alpha by the number of comparisons | |
Increasing beta | |
Decreasing degrees of freedom (df) |
Question 14 (4 points)
Listen
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 14 options:
True | |
False |
Question 15 (4 points)
Listen
t-test 1: mean difference = 12
t-test 2: mean difference = 20
t-test 2 could be nonsignificant while t-test 1 could be significant
Question 15 options:
True | |
False |
Question 16 (4 points)
Listen
As sample size increases, t-tests are more likely to be....
Question 16 options:
Nonsignificant | |
Effective | |
Significant | |
It doesn't influence the statistic |
Question 17 (3 points)
Listen
In ANOVA, if a p-value is lower than alpha, which of the following can we conclude?
Question 17 options:
There is no significant difference between any two group means | |
At least one pair of population means are different from each other (but we can't yet tell which one) | |
The significant difference between group means is dependent upon the t-distribution | |
At least one pair of population means are different from each other (and we can tell which one) |
Question 18 (3 points)
Listen
Which of the following is true for the F and t-distributions?
Question 18 options:
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 | |
The F-distribution is one-tailed | |
They are calculated the same way |
Question 19 (3 points)
Listen
Degrees of freedom for ANOVA is the same as for independent samples t-test
Question 19 options:
True | |
False |
Question 20 (3 points)
Listen
You are interested in determining if there is a mean difference between people from Canada, Zimbabwe, and Germany. Which of the following would be the best to run?
Question 20 options:
confidence interval | |
ANOVA | |
t-test | |
correlation |
Question 21 (3 points)
Listen
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 21 options:
Dependent (paired) samples t-test | |
ANOVA | |
Independent samples t-test | |
Confidence interval |
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started