Question
In: Math
Data were collected on the top 1,000 financial advisers. Company A had 239 people on the...
Data were collected on the top 1,000 financial advisers. Company A had 239 people on the list and another company, Company B, had 121 people on the list. A sample of 16 of the advisers from Company A and 10 of the advisers from Company B showed that the advisers managed many very large accounts with a large variance in the total amount of funds managed. The standard deviation of the amount managed by advisers from Company A was s1 = $587 million. The standard deviation of the amount managed by advisers from Company B was s2 = $485 million. Conduct a hypothesis test at α = 0.10 to determine if there is a significant difference in the population variances for the amounts managed by the two companies. What is your conclusion about the variability in the amount of funds managed by advisers from the two firms? State the null and alternative hypotheses.
H0: σ12 ≠ σ22
Ha: σ12 = σ22
H0: σ12 ≤ σ22
Ha: σ12 > σ22
H0: σ12 > σ22
Ha: σ12 ≤ σ22
H0: σ12 = σ22
Ha: σ12 ≠ σ22
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to four decimal places.)
p-value = How do I find the P-VALUE??????
Solutions
milcah answered 8 months agoRelated Solutions
Data were collected on the top 1,000 financial advisers. Company A had 239 people on the...
Data were collected on the top 1,000 financial advisers. Company
A had 239 people on the list and another company, Company B, had
121 people on the list. A sample of 16 of the advisers from Company
A and 10 of the advisers from Company B showed that the advisers
managed many very large accounts with a large variance in the total
amount of funds managed. The standard deviation of the amount
managed by advisers from Company A was
s1...
Data were collected on the top 1,000 financial advisers. Company A had 239 people on the...
Data were collected on the top 1,000 financial advisers. Company
A had 239 people on the list and another company, Company B, had
121 people on the list. A sample of 16 of the advisers from Company
A and 10 of the advisers from Company B showed that the advisers
managed many very large accounts with a large variance in the total
amount of funds managed. The standard deviation of the amount
managed by advisers from Company A was s1...
To study the physical fitness of a sample of 28 people, the data below were collected...
To study the physical fitness of a sample of 28 people, the data
below were collected representing the number of sit-ups that a
person could do in one minute.
42, 70, 81, 48, 40, 63, 58, 54, 29, 66, 49, 48, 76, 42, 65, 57,
46, 57, 55, 60, 34, 40, 32, 27, 40, 9, 68, 120
Determine the lower and upper fences. Are there any outliers
according to this criterion?
This needs to be completed by hand and show...
Suppose you were interested in crop yields and you had collected data on the amount of...
Suppose you were interested in crop yields and you had collected
data on the amount of rainfall, the amount of fertilizer, the
average temperature, and the number of sunny days.
How could you formalize this a as regression problem?
Data was collected to study the background of the people who participate in online gambling. Data...
Data was collected to study the background of the people who
participate in online gambling. Data was collected to study the
background of the people who participate in online gambling. Data
was collected to study the background of the people who participate
in online gambling. Data was collected to study the background of
the people who participate in online gambling. Data was collected
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DATA: The following data are collected from virtual people living on an Island showing the systolic...
DATA: The following data are collected
from virtual people living on an Island showing the systolic and
diastolic blood pressure (measured in mmHg) for 30 men and 30
women.
Serial number
Male
Systolic
Diastolic
Female
Systolic
Diastolic
1
M
157.8
91.0
F
157.4
90.3
2
M
160.5
90.7
F
154.8
89.4
3
M
157.5
88.1
F
155.4
91.8
4
M
169.4
94.3
F
168.4
94.2
5
M
160.1
90.2
F
163.0
90.5
6
M
160.5
92.9
F
158.2
90.8
7...
In July 2017, in the economy of Sandy Island, 10,000 people were employed, 1,000 were unemployed,...
In July 2017, in the economy of Sandy Island, 10,000 people were
employed, 1,000 were unemployed, and 5,000 were not in the labor
force. During August 2017, 80 people lost their jobs and didn’t
look for new ones, 20 people quit their jobs and retired, 150
unemployed people were hired, 50 people quit the labor force, and
40 people entered the labor force to look for work. Calculate for
July 2017
The unemployment rates.
The employment-to-population ratio.
And calculate for...
39) Sunland Company provides financial consulting and has collected the following data for the next year’s...
39) Sunland Company provides financial consulting and has
collected the following data for the next year’s budgeted activity
for a lead consultant.
Consultants’ wages
$90000
Fringe benefits
$22500
Related overhead
$17500
Supply clerk’s wages
$19000
Fringe benefits
$4000
Related overhead
$22000
Profit margin per hour
$20
Profit margin on materials
15%
Total estimated consulting hours
5000
Total estimated material costs
$180000
A consulting job takes 20 hours of consulting time and $180 of
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Sheridan Company provides financial consulting and has collected the following data for the next year’s budgeted...
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the following data for the next year’s budgeted activity for a lead
consultant.
Consultants’ wages
$80000
Fringe benefits
$32500
Related overhead
$27500
Supply clerk’s wages
$19000
Fringe benefits
$5000
Related overhead
$22000
Profit margin per hour
$20
Profit margin on materials
15%
Total estimated consulting hours
5000
Total estimated material costs
$166000
The labor rate per hour is
$46.50.
$48.00.
$28.00.
$47.50.
Using the data below, answer items 33 - 40. The following data were collected by a...
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The following data were collected by a researcher interested in
whether there were differences between teen drivers and middle-age
drivers in terms of their attitudes toward risky driving behaviors.
1, 430 teen drivers and 880 middle-age drivers were surveyed. α =
0.05, df = 879.
Results of the study are as follows:
Risky Behavior
t
p =
Speeding
-1.39
0.17
Drunk Driving
-4.27
0.000
Sleepy Driving
-2.60
0.01
Texting
-6.99
0.000...
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