Question
In: Statistics and Probability
The table below summarizes data from a survey of a sample of women. Using a 0.01...
The table below summarizes data from a survey of a sample of women. Using a 0.01 significance level, and assuming that the sample sizes of 900men and 300 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women?
| Man | Woman | |
| Women who agree | 617 | 235 |
| Women who disagree | 283 | 65 |
Identify the null and alternative hypotheses. Choose the correct answer below.
A.Upper H 0:The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women.
Upper H 1:The proportions are the same.
B.Upper H 0:The proportions of agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women.
Upper H 1: The proportions are different.
C.Upper H 0: The response of the subject and the gender of the subject are independent.
Upper H 1:The response of the subject and the gender of the subject are dependent.
Compute the test statistic.________
Solutions
orchestra answered 3 years agoRelated Solutions
The table below summarizes data from a survey of a sample of women. Using a 0.05...
The table below summarizes data from a survey of a sample of
women. Using a 0.05 significance level, and assuming that the
sample sizes of 900 men and 400 women are predetermined, test the
claim that the proportions of agree/disagree responses are the
same for subjects interviewed by men and the subjects interviewed
by women. Does it appear that the gender of the interviewer
affected the responses of women? Gender of Interviewer Man Woman
Women who agree 619 314 Women...
The table below summarizes data from a survey of a sample of women. Using a 0.050.05...
The table below summarizes data from a survey of a sample of
women. Using a
0.050.05
significance level, and assuming that the sample sizes of
800800
men and
300300
women are predetermined, test the claim that the proportions
of agree/disagree responses are the same for subjects interviewed
by men and the subjects interviewed by women. Does it appear that
the gender of the interviewer affected the responses of women?
Gender of Interviewer
Man
Woman
Women who agree
517517
262262
Women...
The table below summarizes data from a survey of a sample of women. Using a 0.05...
The table below summarizes data from a survey of a sample of
women. Using a 0.05 significance level, and assuming that the
sample sizes of 700 men and 300 women are predetermined, test the
claim that the proportions of agree/disagree responses are the
same for subjects interviewed by men and the subjects interviewed
by women. Does it appear that the gender of the interview affected
the responses of women?
Man
Woman
Woman who agree
481
245
Woman who disagree
219...
The table below summarizes data from a survey of a sample of women. Using a 0.05...
The table below summarizes data from a survey of a sample of
women. Using a 0.05 significance level, and assuming that the
sample sizes of 900 men and 400 women are predetermined, test the
claim that the proportions of agree/disagree responses are the
same for subjects interviewed by men and the subjects interviewed
by women. Does it appear that the gender of the interviewer
affected the responses of women?
Man Woman
Women who agree 605 322
Women who disagree ...
The table below summarizes data from a survey of a sample of women. Using a 0.010.01...
The table below summarizes data from a survey of a sample of
women. Using a
0.010.01
significance level, and assuming that the sample sizes of
800800
men and
400400
women are predetermined, test the claim that the proportions
of agree/disagree responses are the same for subjects interviewed
by men and the subjects interviewed by women. Does it appear that
the gender of the interviewer affected the responses of women?
Gender of Interviewer
Man
Woman
Women who agree
489489
329329
Women...
Use the data in the accompanying table that summarizes results from a clinical trial of a...
Use the data in the
accompanying table that summarizes results from a clinical trial of
a drug. Let A = Drug Treatment, B = Placebo
headache
No Headache
total
Drug Treatment (A)
122
585
707
Placebo ( B)
28
672
700
Total
150
1257
1407
Answer the
following:
1. Find the
probability that patient under treatment p(A)
2. Find p(B)
3. Find the
probability a patient has a headache
4. Find the
probability a patient has a headache and he...
USING MATLAB: Using the data from table below fit a fourth-order polynomial to the data, but...
USING MATLAB:
Using the data from table below fit a fourth-order polynomial to
the data, but use a label for the year starting at 1 instead of
1872. Plot the data and the fourth-order polynomial estimate you
found, with appropriate labels. What values of coefficients did
your program find? What is the LMS loss function value for your
model on the data?
Year Built
SalePrice
1885
122500
1890
240000
1900
150000
1910
125500
1912
159900
1915
149500
1920
100000
1921...
Below is a data table from a survey of 12 random car owners that were asked...
Below is a data table from a survey of 12 random car owners that
were asked about their typical monthly expenses in dollars on
gasoline.
210 160 43 255 176 135 221 359 380 405 391 477
(a) Is there evidence at the 5% significance level to suggest
the mean monthly gasoline expense for all car owners is less than
$200?
(b) Interpret the P-value in the context of this test.
(c) Explain what a Type I error would mean...
For the data below, test the significance of the t test statistic using a=0.01 and the...
For
the data below, test the significance of the t test statistic using
a=0.01 and the claim p=0.
x: 3 5 12 9 7 6 8 10 11 4
y: 21 16 4 9 13 14 11 6 5 18
Using the simple random sample of weights of women from a data set, we obtain these...
Using the simple random sample of weights of women from a data
set, we obtain these sample statistics: the sample size is 40 and
the sample mean was 151.83 pounds. Research from other sources
suggests that the population of weights of women has a standard
deviation of 30.43 pounds. Find the 90% confidence interval
estimate of the mean weight of all women.
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