Stats Quiz...Please Help!!!

Question # 00065797 Posted By: kendyle22 Updated on: 04/29/2015 02:02 PM Due on: 05/01/2015
Subject Statistics Topic General Statistics Tutorials:
Question
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Multiple myeloma or blood plasma cancer is characterized by increased blood vessel formulation in the bone marrow that is a prognostic factor in survival. One treatment approach used for multiple myeloma is stem cell transplantation with the patient’s own stem cells. The following data represent the bone marrow microvessel density for a sample of 7 patients who had a complete response to a stem cell transplant as measured by blood and urine tests. Two measurements were taken: the first immediately prior to the stem cell transplant, and the second at the time of the complete response.
Patient1234567
Before158189202353416426441
After284214101227290176290

At the .01 level of significance, is there sufficient evidence to conclude that the mean bone marrow microvessel density is higher before the stem cell transplant than after the stem cell transplant?
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Question 2 of 17
1.0 Points

A field researcher is gathering data on the trunk diameters of mature pine and spruce trees in a certain area. The following are the results of his random sampling. Can he conclude, at the .10 level of significance, that the average trunk diameter of a pine tree is greater than the average diameter of a spruce tree?

Pine treesSpruce trees
Sample size4070
Mean trunk diameter (cm)4539
Sample variance100150

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Question 3 of 17
1.0 Points
Members of the general adult population volunteer an average of 4.2 hours per week. A random sample of 20 female college students and 18 male college students produced the results given in the table below. At the .01 level of significance, is there sufficient evidence to conclude that a difference exists between the mean number of volunteer hours per week for male and female college students?
FemalesMales
Sample size2018
Sample mean3.82.5
Sample variance3.52.2
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Part 2 of 8 -


Question 4 of 17
1.0 Points
An agent for a residential real estate company in a large city would like to be able to predict the monthly rental cost of apartments based on the size of the apartment. Data for a sample of 25 apartments in a particular neighborhood are provided in the worksheet Apartments in the Excel workbook Apartments.xlsx.

Apartments.xlsx

At the .05 level of significance determine if the correlation between rental cost and apartment size is significant.
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Question 5 of 17
1.0 Points
In choosing the “best-fitting” line through a set of points in linear regression, we choose the one with the:
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Question 6 of 17
1.0 Points
In a simple linear regression analysis, the following sum of squares are produced:

f$sum{(y-ar{y})^{2}}f$ = 400

f$sum{(y-y')^{2}}f$ = 80

f$sum{(y'-ar{y})^{2}}f$ = 320

The proportion of the variation in Y that is explained by the variation in X is:
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Question 7 of 17
1.0 Points
The marketing manager of a large supermarket chain would like to use shelf space to predict the sales of pet food. For a random sample of 12 similar stores, she gathered the following information regarding the shelf space, in feet, devoted to pet food and the weekly sales in hundreds of dollars. .
Store123456
Shelf Space555101010
Weekly Sales1.62.21.41.92.42.6
Store789101112
Shelf Space151515202020
Weekly Sales2.32.72.82.62.93.1

Compute the value of the sample correlation coefficient between weekly sales and shelf space.
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Question 8 of 17
1.0 Points

The marketing manager of a large supermarket chain would like to use shelf space to predict the sales of pet food. For a random sample of 12 similar stores, she gathered the following information regarding the shelf space, in feet, devoted to pet food and the weekly sales in hundreds of dollars. .

Store123456
Shelf Space555101010
Weekly Sales1.62.21.41.92.42.6

Store789101112
Shelf Space151515202020
Weekly Sales2.32.72.82.62.93.1

Is the correlation between weekly sales and shelf space significant at the .01 level of significance?
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Part 3 of 8 -


Question 9 of 17
2.0 Points
Accepted characters: numbers, decimal point markers (period or comma), sign indicators (-), spaces (e.g., as thousands separator, 5 000), "E" or "e" (used in scientific notation). NOTE: For scientific notation, a period MUST be used as the decimal point marker.
Complex numbers should be in the form (a + bi) where "a" and "b" need to have explicitly stated values.
For example: {1+1i} is valid whereas {1+i} is not. {0+9i} is valid whereas {9i} is not.

A business major wants to determine whether the variation in advertising costs of hair salons is different from the variation in advertising costs of nail salons. He surveys several businesses and finds the standard deviation in monthly advertising costs is $23 for 12 hair salons, and $43 for 8 nail salons.

What is the test value for this hypothesis test?

Test value: Round your answer to two decimal places.

At the 0.05 level of significance, what is the critical value?

Critical value: Round your answer to two decimal places.


Part 4 of 8 -


Question 10 of 17
1.0 Points
Accepted characters: numbers, decimal point markers (period or comma), sign indicators (-), spaces (e.g., as thousands separator, 5 000), "E" or "e" (used in scientific notation). NOTE: For scientific notation, a period MUST be used as the decimal point marker.
Complex numbers should be in the form (a + bi) where "a" and "b" need to have explicitly stated values.
For example: {1+1i} is valid whereas {1+i} is not. {0+9i} is valid whereas {9i} is not.

A company has observed that there is a linear relationship between indirect labor expense (ILE) , in dollars, and direct labor hours (DLH). Data for direct labor hours and indirect labor expense for 18 months are given in the file ILE_and_DLH.xlsx

Treating ILE as the response variable, use regression to fit a straight line to all 18 data points.

Approximately what percentage of the variation in indirect labor expenses is explained by the regression model you derived?

Place your answer, rounded to 1 decimal place, in the blank. Do not use any stray punctuation marks or a percentage sign. For example, 78.9 would be a legitimate entry.


Question 11 of 17
1.0 Points
Accepted characters: numbers, decimal point markers (period or comma), sign indicators (-), spaces (e.g., as thousands separator, 5 000), "E" or "e" (used in scientific notation). NOTE: For scientific notation, a period MUST be used as the decimal point marker.
Complex numbers should be in the form (a + bi) where "a" and "b" need to have explicitly stated values.
For example: {1+1i} is valid whereas {1+i} is not. {0+9i} is valid whereas {9i} is not.

The marketing manager of a large supermarket chain would like to determine the effect of shelf space (in feet) on the weekly sales of international food (in hundreds of dollars). A random sample of 12 equal –sized stores is selected, with the following results:
StoreShelf Space(X)Weekly Sales(Y)
1102.0
2102.6
3101.8
4152.3
5152.8
6153.0
7202.7
8203.1
9203.2
10253.0
11253.3
12253.5


Using the equation of the regression line for these data, predict the average weekly sales (in hundreds of dollars) of international food for stores with 13 feet of shelf space for international food.
Place your answer, rounded to 3 decimal places , in the blank. Do not use a dollar sign. For example, 2.345 would be a legitimate entry.

Part 5 of 8 -


Question 12 of 17
1.0 Points
Accepted characters: numbers, decimal point markers (period or comma), sign indicators (-), spaces (e.g., as thousands separator, 5 000), "E" or "e" (used in scientific notation). NOTE: For scientific notation, a period MUST be used as the decimal point marker.
Complex numbers should be in the form (a + bi) where "a" and "b" need to have explicitly stated values.
For example: {1+1i} is valid whereas {1+i} is not. {0+9i} is valid whereas {9i} is not.

Q-Mart is interested in comparing its male and female customers. Q-Mart would like to know if the amount of money spent by its female charge customers differs, on average, from the amount spent by its male charge customers. To answer this question, an analyst collected random samples of 25 female customers and 22 male customers.

Based on these samples, on average, the 25 women charge customers spent $102.23 and the 22 men charge customers spent $86.46. Moreover, the sample standard deviation of the amount charged by the 25 women was $93.393, and the sample standard deviation of the amount charged by the 22 men was $59.695.

Suppose, using a 10% level of significance, you wish to know if there is sufficient evidence for Q-Mart to conclude that, on average, the amount spent by women charge customers differs from the amount spent by men charge customers. That is suppose you wish to test

H0: f$mu _{w} = versus H1: f$mu _{w} 
eq mu _{m}f$

Assuming that the amounts spent by male and female charge customers at Q-Mart are normally distributed, based on the procedure advocated by Bluman, what is the test value that you would use to conduct this test of hypothesis? Place your answer, rounded to 3 decimal places, in the blank. For example, 0.123 would be a legitimate entry.

Question 13 of 17
1.0 Points
Accepted characters: numbers, decimal point markers (period or comma), sign indicators (-), spaces (e.g., as thousands separator, 5 000), "E" or "e" (used in scientific notation). NOTE: For scientific notation, a period MUST be used as the decimal point marker.
Complex numbers should be in the form (a + bi) where "a" and "b" need to have explicitly stated values.
For example: {1+1i} is valid whereas {1+i} is not. {0+9i} is valid whereas {9i} is not.

Are America's top chief executive officers (CEOs) really worth all that money? One way to answer this question is to look at the annual company percentage increase in revenue versus the CEO's annual percentage salary increase in that same company. Suppose that a random sample of companies yielded the following data:

percent change for corporation151231228682
percent change for CEO617-41232-172


Do these data indicate that the population mean percentage increase in corporate revenue is greater than the population mean percentage increase in CEO salary? Use a 5% level of significance. What is the critical value that you would use to conduct this test of hypothesis? Place your answer, rounded to 3 decimal places, in the blank. For example, 2.345 would be a legitimate entry.

Part 6 of 8 -


Question 14 of 17
3.0 Points
Accepted characters: numbers, decimal point markers (period or comma), sign indicators (-), spaces (e.g., as thousands separator, 5 000), "E" or "e" (used in scientific notation). NOTE: For scientific notation, a period MUST be used as the decimal point marker.
Complex numbers should be in the form (a + bi) where "a" and "b" need to have explicitly stated values.
For example: {1+1i} is valid whereas {1+i} is not. {0+9i} is valid whereas {9i} is not.

A professor gives an exam for which there are two versions, A and B. Each student in the class is given one randomly selected version of the exam. After the exam, the professor wishes to determine if there is a difference in the level of difficulty of the two versions by determining if there is a significant difference in the mean scores. Assume ? = 0.05.

Version AVersion B
Sample size4565
Mean score8.88.2
Sample variance2.62.4

What is the test value for this hypothesis test?

Answer: Round your answer to two decimal places.

What is/are the critical value(s) for this hypothesis test? If there are two critical values, give only the positive value.

Answer: Round your answer to two decimal places.

What is the conclusion for this hypothesis test? Choose one.

1. There is not sufficient evidence to show that one version of the exam is more difficult than the other.
2. There is sufficient evidence to show that one version of the exam is more difficult than the other.

Answer: Enter only a 1 or 2 for your answer.


Part 7 of 8 -


Question 15 of 17
1.0 Points
When testing the equality of two population variances, the test statistic is the ratio of the population variances; namely f$frac{sigma _{1}^{2}}{sigma _{2}^2}f$ .
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Part 8 of 8 -


Question 16 of 17
1.0 Points
In every regression study there is a single variable that we are trying to explain or predict. This is called the response variable or dependent variable.
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Question 17 of 17
1.0 Points
If there is no linear relationship between two variables X and Y, the coefficient of determination, R2, must be f$pm f$ 1.0.
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Tutorials for this Question
  1. Tutorial # 00062676 Posted By: kendyle22 Posted on: 05/05/2015 05:04 PM
    Puchased By: 3
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    company has observed that there is a linear relationship between ...
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