Question
A nationwide sample of employed men and women were asked whether they were worried about the...
A nationwide sample of employed men and women were asked whether they were worried about the security of their job. The results were:
| Men | Women | |
| Number Sampled | 500 | 500 |
| Number Worried | 360 | 315 |
At the 8% level of significance, can we conclude that there is a larger proportion of men that are worried about their job security?
*Do not use p-values
*Use and show the 5-step method
Step 1: H0=
HA=
Step 2: alpha =
Step 3: Test Statistic:
Step 4: Decision Rule:
Step 5: Calculation and Decision
Reject or do not reject H0? Why?
Homework Answers
Answer #1
Not the answer you're looking for?
Similar Questions
A sample of scores for men and women from an examination in Statistics 201 were: Men...
A sample of scores for men and women from an examination in
Statistics 201 were:
Men
82
74
93
88
75
52
93
48
91
56
51
Women
82
79
82
55
89
75
60
63
72
47
Given that the null hypothesis and the alternative hypothesis
are:
H0: μm -
μw ≤ 5
H1: μm - μw
> 5
and using a 0.05 significance level conduct a t-test
about a difference in population means:
a)
What is the correct...
A sample of scores for men and women from an examination in Statistics 201 were: Men...
A sample of scores for men and women from an examination in
Statistics 201 were:
Men
62
91
92
77
69
86
64
60
94
Women
51
79
62
88
80
50
87
65
Given that the null hypothesis and the alternative hypothesis
are:
H0: μm -
μw = -5
H1: μm - μw ≠
-5
and using a 0.05 significance level conduct a t-test
about a difference in population means:
a)
What is the correct decision rule?
Reject H0...
A group of friends debated whether more men use smartphones than women. They consulted a research...
A group of friends debated whether more men use smartphones than
women. They consulted a research study of smartphone use among
adults. The results of the survey indicate that of the 973 men
randomly sampled, 379 use smartphones. For women, 404 of the 1,304
who were randomly sampled use smartphones. Test at the 5% level of
significance.
Type the conclusion only for the hypothesis test (step 5).
A sample of scores for men and women from an examination in Statistics 201 were: Men...
A sample of scores for men and women from an examination in
Statistics 201 were:
Men
68
88
57
56
74
76
95
Women
55
76
70
81
58
56
87
86
46
47
Given that the null hypothesis and the alternative hypothesis
are:
H0: μm -
μw ≤ -1
H1: μm - μw
> -1
and using a 0.025 significance level conduct a t-test
about a difference in population means:
a)
What is the correct decision rule?
Reject H0...
A sample of scores for men and women from an examination in Statistics 201 were: Men...
A sample of scores for men and women from an examination in
Statistics 201 were:
Men
78
69
45
81
72
82
84
46
58
Women
67
49
88
59
80
73
91
61
45
Given that the null hypothesis and the alternative hypothesis
are:
H0: μm -
μw ≤ 3
H1: μm - μw
> 3
and using a 0.025 significance level conduct a t-test
about a difference in population means:
a)
What is the correct decision rule?
Reject...
A sample of scores for men and women from an examination in Statistics 201 were: Men...
A sample of scores for men and women from an examination in
Statistics 201 were:
Men
88
70
87
53
45
58
71
48
61
81
Women
70
77
60
84
74
89
94
50
66
61
Given that the null hypothesis and the alternative hypothesis
are:
H0: μm -
μw ≤ -2
H1: μm - μw
> -2
and using a 0.05 significance level conduct a t-test
about a difference in population means:
a)
What is the correct decision...
50 men and 50 women are intercepted at a mall, asked to smell two fragrances (vanilla...
50 men and 50 women are intercepted at a mall, asked to
smell two fragrances (vanilla vs. musk) and then pick the one they
like best. The data are shown below. Is gender related to
preference for a certain type of fragrance? Use alpha =
.05.
Musk
Vanilla
Men
35
15
Women
20
30
Step 1: State the null and alternative
hypotheses
Step 2: Indicate the critical value of the appropriate
statistic (and draw a picture of the distribution, showing...
A nationwide sample of influential Liberals and Conservatives was asked as a part of a comprehensive...
A nationwide sample of influential Liberals and Conservatives
was asked as a part of a comprehensive survey whether they favoured
lowering environmental standards so that high-sulphur coal could be
burned in coal-fired power plants. The results were:
Liberals
Conservatives
Number sampled
372
745
Number in favour
24
55
At the 0.01 level of significance, can we conclude that there is
a larger proportion of Conservatives in favour of lowering the
standards? Calculate and interpret the p-value.
a. State the decision...
A nationwide sample of influential Liberals and Conservatives was asked as a part of a comprehensive...
A nationwide sample of influential Liberals and Conservatives
was asked as a part of a comprehensive survey whether they favoured
lowering environmental standards so that high-sulphur coal could be
burned in coal-fired power plants. The results were:
Liberals
Conservatives
Number sampled
372
745
Number in favour
24
55
At the 0.01 level of significance, can we conclude that there is
a larger proportion of Conservatives in favour of lowering the
standards? Calculate and interpret the p-value.
a. State the decision...
A nationwide sample of influential Liberals and Conservatives was asked as a part of a comprehensive...
A nationwide sample of influential Liberals and Conservatives
was asked as a part of a comprehensive survey whether they favoured
lowering environmental standards so that high-sulphur coal could be
burned in coal-fired power plants. The results were:
Liberals
Conservatives
Number sampled
675
213
Number in favour
49
28
At the 0.05 level of significance, can we conclude that there is
a larger proportion of Conservatives in favour of lowering the
standards? Calculate and interpret the p-value.
a. State the decision...
ADVERTISEMENT
Need Online Homework Help?
Get Answers For Free
Most questions answered within 1 hours.
ADVERTISEMENT
Active Questions
asked 17 minutes ago
asked 26 minutes ago
asked 39 minutes ago
asked 41 minutes ago
asked 45 minutes ago
asked 50 minutes ago
asked 59 minutes ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago
asked 2 hours ago