Practice Set 5
Practice Set 5
1. This distribution has only one parameter. The curve is skewed to the right for small df and
becomes symmetric for large df. The entire distribution curve lies to the right of the vertical
axis. The distribution assumes nonnegative values only
A. t distribution
B. Normal distribution
C. Chi-square distribution
D. Linear regression.
2. Find the value of x2 for 12 degrees of freedom and an area of .025 in the right tail of the chi-
square distribution curve. What is the value of chi-square? Round to three decimal places
3. Determine the value of x2 for 14 degrees of freedom and an area of .10 in the left tail of the
chi-square distribution curve. What is the value of chi-square? Round to three decimal places
4. Determine the value of x2 for 23 degrees of freedom and an area of .990 in the left tail of the
chi-square distribution curve. What is the value of chi-square? Round to three decimal places.
5. Α ____________ compares the observed frequencies from a multinomial experiment with
expected frequencies derived from a certain pattern or theoretical distribution. The test
evaluates how well the observed frequencies fit the expected frequencies.
A. Goodness-of-fit test
B. Chi-square test
C. Linear regression
6. The __________ are the frequencies obtained from the performance of a
multinomial experiment. The expected frequencies are the frequencies that we expect to obtain
if the null hypothesis is true.
A. Observed frequencies
B. Expected frequencies
C. Fluctuating frequencies
7. The expected frequency of a category is given by Ε = np where n is the sample size and p is the
probability that an element belongs to that category if the null hypothesis is true. The
________ for a goodness–of–fit test are k – 1, where k denotes the number of possible
outcomes (or categories) for the experiment.
A. Number of observations
B. Degrees of freedom
C. Total population
8. This model includes only two variables, one independent and one dependent, is called a _____1______. The ___2____ is the one being explained, and the ___3___ is the one used to explain the variation in the dependent variable. Select the correct letter that would make the sentence true.
1. Select a letter from the list to make this statement true.
2. Select a letter from the list to make this statement true.
3. Select a letter from the list to make this statement true.
A. Linear model
B. Qualitative variable
C. Multivariate analysis of variance
D. Independent variable
E. Simple regression model
F. One-way Analysis of Variance
G. Dependent variable
H. Quantitative variable
9. A population data set produced the following information.
N=460, ∑x=3920, ∑y=2650, ∑xy=26,570, ∑x2=48,530
Find the population regression line. Round to three decimal places. Use the format as an example when submitting your equation 456.123 + 789.123x
10. The following information is obtained from a sample data set.
n=12, ∑x=66, ∑y=588, ∑xy=2244, ∑x2=396
Find the estimated regression line Use this format as an example when submitting your equation 123 – 45x
Copyright © XXXX by University of Phoenix. All rights reserved.
Copyright © 2017 by University of Phoenix. All rights reserved.
Practice Set 5
QNT/275 Version 6
1
Copyright ©
2017
by University of Phoenix
. All rights reserved.
University of Phoenix Material
Practice S
et 5
Practice Set
5
1. This distribution
has
only
one
parameter
.
The
curve
is
skewed
to
the
right
for
small
df
and
becomes
symmetric
for
large
df
.
The entire
distribution
curve
lies
to
the
right
of
the
vertical
axis.
The
distribution
assumes
nonnegative
values
only
A.
t distribution
B.
Normal distribution
C.
Chi
–
square distribution
D.
Linear regression.
2. Find the value of x2
for 12 degrees of freedom and an area of .025 in the right tail of the chi
–
square distribution curve. What is the value of chi
–
square? Round to three decimal places
3. Determine the value of x2 for 14 degrees of freedom and an area of .10 in the
left tail of the
chi
–
square distribution curve. What is the value of chi
–
square? Round to three decimal
places
4. Determine the value of x2 for 23 degrees of freedom and an area of .990 in the left tail of the
chi
–
square distribution c
urve. What is the value of chi
–
square? Round to three decimal
places.
5. Á ____________ compares the observed frequencies from a multinomial experiment with
expected frequencies derived from a certain pattern or theoretical distribution. The tes
t
evaluates how well the observed frequencies fit the expected frequencies.
A.
Goodness
–
of
–
fit test
B.
Chi
–
square test
C.
Linear regression
6. The __________ are the frequencies obtained from the performance of a
multinomial experiment. The e
xpected frequencies are the frequencies that we expect to
obtain
if the null hypothesis is true.
A.
Observed frequencies
B.
Expected frequencies
C.
Fluctuating frequencies
7. The expected frequency of a category is given by Å = np where n is the sample size and p is
the
probability that an element belongs to that category if the null hypothesis is true. The
________ for a goodness
–
of
–
fit test a
re k
–
1, where k denotes the number of possible
Practice Set 5
QNT/275 Version 6
1
Copyright © 2017 by University of Phoenix. All rights reserved.
University of Phoenix Material
Practice Set 5
Practice Set 5
1. This distribution has only one parameter. The curve is skewed to the right for small df and
becomes symmetric for large df. The entire distribution curve lies to the right of the vertical
axis. The distribution assumes nonnegative values only
A. t distribution
B. Normal distribution
C. Chi-square distribution
D. Linear regression.
2. Find the value of x2 for 12 degrees of freedom and an area of .025 in the right tail of the chi-
square distribution curve. What is the value of chi-square? Round to three decimal places
3. Determine the value of x2 for 14 degrees of freedom and an area of .10 in the left tail of the
chi-square distribution curve. What is the value of chi-square? Round to three decimal
places
4. Determine the value of x2 for 23 degrees of freedom and an area of .990 in the left tail of the
chi-square distribution curve. What is the value of chi-square? Round to three decimal
places.
5. Α ____________ compares the observed frequencies from a multinomial experiment with
expected frequencies derived from a certain pattern or theoretical distribution. The test
evaluates how well the observed frequencies fit the expected frequencies.
A. Goodness-of-fit test
B. Chi-square test
C. Linear regression
6. The __________ are the frequencies obtained from the performance of a
multinomial experiment. The expected frequencies are the frequencies that we expect to
obtain
if the null hypothesis is true.
A. Observed frequencies
B. Expected frequencies
C. Fluctuating frequencies
7. The expected frequency of a category is given by Ε = np where n is the sample size and p is
the
probability that an element belongs to that category if the null hypothesis is true. The
________ for a goodness–of–fit test are k – 1, where k denotes the number of possible