Question
In: Statistics and Probability
Each person in random samples of 227 male and 253 female working adults living in a...
Each person in random samples of 227 male and 253 female working adults living in a certain town in Canada was asked how long, in minutes, his or her typical daily commute was. (Use a statistical computer package to calculate the P-value. Use μmales − μfemales. Round your test statistic to two decimal places, your df down to the nearest whole number, and your P-value to three decimal places.)
| Males | Females | ||||
| Sample size |
x | s | Sample size |
x | s |
| 227 | 29.6 | 24.0 | 253 | 27.3 | 24.3 |
| t | = |
| df | = |
| P-value | = |
Is there enough evidence to show that there is a difference in mean
commute times for male and female working residents of this town?
Use a significance level of 0.05.
Yes
No
Solutions
orchestra answered 2 years agoRelated Solutions
Each person in random samples of 227 male and 283 female working adults living in a...
Each person in random samples of 227 male and 283 female working
adults living in a certain town in Canada was asked how long, in
minutes, his or her typical daily commute was. (Use a statistical
computer package to calculate the P-value. Use
μmales − μfemales. Round
your test statistic to two decimal places, your df down to the
nearest whole number, and your P-value to three decimal
places.)
Males
Females
Sample
size
x
s
Sample
size
x
s
227...
Each person in random samples of 250 male and 250 female working American adults was asked...
Each person in random samples of 250 male and 250 female working
American adults was asked how long, in minutes, they typically
spend on their lunch break. The males averaged 39.6 minutes with a
standard deviation of 24.3 minutes. The females averaged 37.3
minutes with a standard deviation of 24.0 minutes. Is there
convincing evidence that the mean lunch break times for male and
female working American adults differ?
(a) State the null and alternative hypotheses to be tested.
(...
A random sample of 500 male and female adults was asked the amount of time each...
A random sample of 500 male and female adults was asked the
amount of time each person spent watching TV last week. Their
responses are shown at the right. At the 0.05 significance level,
does it appear that the amount of time spent watching TV is related
to the gender of the viewer?
Hours/Gender
Male
Female
Total
Under 8
90
110
200
8 to 15
85
75
160
15 or more
75
65
140
Total
250
250
500
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Random samples of female and male UVA undergraduates are asked to estimate the number of alcoholic...
Random samples of female and male UVA undergraduates are asked
to estimate the number of alcoholic drinks that each consumes on a
typical weekend. The data is below:
Females (Population 1): 4, 5, 3, 6, 6, 4, 5, 3, 4, 2
Males (Population 2): 4, 6, 8, 4, 5, 6, 7, 6, 6, 7
Give a 95% confidence interval for the difference between mean
female and male drink consumption. For each confidence interval,
enter your answer in the form (LCL,...
Random samples of female and male UVA undergraduates are asked to estimate the number of alcoholic...
Random samples of female and male UVA undergraduates are asked
to estimate the number of alcoholic drinks that each consumes on a
typical weekend. The data is below:
Females (Population 1): 2, 2, 2, 1, 3, 1, 3, 5, 5, 3
Males (Population 2): 5, 5, 6, 4, 4, 6, 3, 3, 3, 5
Give a 92.3% confidence interval for the difference between mean
female and male drink consumption. (Assume that the population
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Confidence Interval =
Each person in a random sample of 228 male teenagers and a random sample of 305...
Each person in a random sample of 228 male teenagers and a
random sample of 305 female teenagers was asked how many hours he
or she spent online in a typical week. The sample mean and standard
deviation were 15.2 hours and 11.3 hours for males and 14.2 and
11.7 for females. (Use a statistical computer package to calculate
the P-value. Use μmales − μfemales. Round your test statistic to
two decimal places, your df down to the nearest whole...
A survey described the results of a poll of working adults in Canada. Each person in...
A survey described the results of a poll of working adults in
Canada. Each person in a random sample was classified according to
gender and the number of vacation days he or she usually took each
year. The resulting data are summarized in the given table.
Days of Vacation
Gender
Male
Female
None
51
42
1-5
21
25
6-10
67
79
11-15
108
96
16-20
71
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(a) Is it reasonable to...
Independent random samples were taken of male and female members of University Entrepreneurship Club. These members...
Independent random samples were taken of male and female members
of University Entrepreneurship Club. These members were considering
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business venture.
Estimate the value of the population proportion. (Round
your answers to 3 decimal places.)
Develop a 99% confidence interval for the population
proportion.
VERY URGENT !!!! Independent random samples were taken of male and female members of University Entrepreneurship...
VERY URGENT !!!! Independent random samples were taken of male
and female members of University Entrepreneurship Club. These
members were considering starting a business. Of 350 members, 250
actually started a business venture. (use 3 digits after
decimal point)
a. Estimate the value of the population
proportion. (Answer)
b. 90% confidence interval for the population
proportion is [Answer to Answer]
Researchers equipped random samples of 46 male and 58 female students from a large university with...
Researchers equipped random samples of 46 male and 58 female
students from a large university with a small device that secretly
records sound for a random 30 seconds during each 12.5-minute
period over two days. Then they counted the number of words spoken
by each subject during each recording period and, from this,
estimated how many words per day each subject speaks. The female
estimates had a mean of 16,177 words per day with a standard
deviation of 7520 words...
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