Questions
It is difficult to determine a person’s body fat percentage accurately without immersing him or her...

It is difficult to determine a person’s body fat percentage accurately without immersing him or her in water. Researchers hoping to find ways to make a good estimate immersed 20 male subjects, then measured their waist shown in the table.

Waist (in.)

Body Fat (%)

32

6

36

21

38

15

33

6

39

22

40

31

41

32

35

21

38

25

38

30

33

10

40

20

36

22

32

9

44

38

33

10

41

27

34

12

34

10

44

28

a) Treating waist as the explanatory variable, x, determine the estimates of ?1and ?0.

In: Statistics and Probability

Scientists recently discovered that elephants have 40 copies of the p53 gene, while humans have two...

Scientists recently discovered that elephants have 40 copies of the p53 gene, while humans have two copies (one from our biological mother and one from our biological father).

Use the language of biology to explain how this discovery could explain why so few elephants die from cancer.

In: Biology

Fame Company manufactures engines. Fame produces all the parts necessary for its engines, except for one...

Fame Company manufactures engines. Fame produces all the parts necessary for its engines, except for one electronic component, which is purchased from two local suppliers: Hydra International and Parable Company. Both suppliers are reliable and rarely deliver late. Hydra sells the component for $12.00 per unit, while Parable sells the same component for $10.00. Fame purchases 80% of its components from Parable because of the lower price it offers. The total annual demand is 95,000 units.

I. Activity Data
Activity Cost
Inspecting components (sampling only) $ 210,000
Reworking products (due to failed component) $2,454,000
Warranty work (due to failed component) $1,923,000


II. Supplier Data
Hydra Parable
International Company
Unit purchase price $12.00 $10.00
Units purchased 19,000 76,000
Sampling hours 60 2,600
Rework hours 150 3,800
Warranty hours 550 7,000


Suppose that Fame loses $3,500,000 in sales per year because of its reputation for defective units attributable to failed components. Using warranty hours, assign the proportional cost of lost sales to Hydra International. What is the increase in the cost per component? (Note: Round the lost sales per warranty hour and the cost of the component to two decimal places.)

a.$13.42 per unit

b.$8.95 per unit

c.$25.72 per unit

d.$4.65 per unit

In: Accounting

The distribution of results from a cholesterol test has a mean of 180 and a standard deviation of 20. A sample size of 40 is drawn randomly.

The distribution of results from a cholesterol test has a mean of 180 and a standard deviation of 20. A sample size of 40 is drawn randomly.

Find the sum that is one standard deviation below the mean of the sums. (Round your answer to two decimal places.)

In: Statistics and Probability

Alabama 3 3 1 0 1 1 0 0 0Alaska 57 39 12 2 1...

Alabama 3 3 1 0 1 1 0 0 0
Alaska 57 39 12 2 1 24 7 8 3
Arizona 278 171 128 4 3 36 42 55 10
Arkansas 164 110 51 10 4 45 18 30 6
California 1,861 1,275 855 34 33 353 263 233 90
Colorado 176 115 65 12 6 32 25 19 17
Connecticut 107 73 29 0 2 42 16 9 9
Delaware 63 52 26 0 0 26 6 3 2
District of Columbia 162 121 65 1 0 55 28 8 5
Georgia 565 464 394 16 10 44 38 60 3
Hawaii 19 4 1 1 0 2 6 2 7
Idaho 30 24 17 4 0 3 3 3 0
Illinois 497 440 431 2 1 6 29 25 3
Indiana 272 209 147 9 5 48 22 29 12
Iowa 72 49 31 0 2 16 10 5 8
Kansas 125 91 51 4 4 32 9 14 11
Kentucky 209 141 91 1 9 40 30 26 12
Louisiana 474 379 207 7 9 156 46 43 6
Maine 23 16 15 0 0 1 3 1 3
Maryland 372 279 266 3 3 7 44 33 16
Massachusetts 126 81 33 1 0 47 27 11 7
Michigan 571 389 148 10 10 221 52 103 27
Minnesota 133 79 47 6 9 17 21 23 10
Mississippi 159 126 102 3 5 16 11 14 8
Missouri 499 418 233 12 11 162 26 40 15
Montana 36 18 13 0 0 5 8 3 7
Nebraska 61 43 41 1 1 0 9 8 1
Nevada 177 113 17 1 1 94 25 30 9
New Hampshire 14 8 4 0 0 4 6 0 0
New Jersey 353 255 200 3 0 52 38 41 19
New Mexico 94 56 14 1 2 39 18 19 1
New York 611 383 331 1 5 46 104 104 20
North Carolina 506 353 235 10 21 87 41 77 35
North Dakota 17 9 5 0 0 4 3 1 4
Ohio 480 316 184 12 7 113 39 103 22
Oklahoma 233 149 113 8 9 19 33 32 19
Oregon 71 34 17 1 5 11 12 22 3
Pennsylvania 651 497 386 10 11 90 65 67 22
Rhode Island 27 10 3 0 1 6 10 6 1
South Carolina 394 312 201 7 10 94 34 34 14
South Dakota 27 12 5 1 5 1 8 2 5
Tennessee 402 297 204 13 7 73 40 51 14
Texas 1,276 906 610 19 36 241 146 135 89
Utah 54 34 26 2 0 6 5 6 9
Vermont 10 8 2 4 0 2 0 1 1
Virginia 383 275 148 6 7 114 51 43 14
Washington 209 141 84 3 5 49 18 36 14
West Virginia 57 30 19 1 1 9 6 17 4
Wisconsin 238 170 122 5 4 39 37 25 6
Wyoming 16 10 4 0 3 3 2 3 1
Guam 6 3 1 0 0 2 1 2 0
U.S. Virgin Islands 35 26 12 1 0 13 3 6 0
, 3. PA, 4. NY) Simplify all fraction answers.


3. Find the top 22 states with the most number of total murders. Then, calculate the mean, median, and mode. Round off your answer to the nearest whole number.

Rank Top 20 States Total Murders
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22

Answers
Mean
Median
Mode

4. Calculate the variance and standard deviation for the top 22 states with the most number of total murders. Round off your answer to the nearest whole number.


5. In California, given that a specific person was murdered by a firearm, what was the probability that the murder was committed with a rifle? Simplify all fraction answers.


6. In Texas, given that a specific person was murdered by a firearm, what is the probability that the murder was committed either with a rifle or a shotgun? Simplify all fraction answers.

7. Choose 2 states, and determine how many more times likely a person is to be murdered using a rifle in one state compared to the other state if the person is murdered. Simplify all fraction answers.

Chosen States Probability

The number of times more likely (rounded to the nearest thousandths)



8. For what reasons do you think California and Texas seemingly had a disproportionate number of murders than Pennsylvania and New York in 2015? Please do your research and include the references that support your answer.


Reference

Federal Bureau of Investigation (FBI). (2015). Table 20: Murder by states, types of weapons, 2015. Retrieved from https://ucr.fbi.gov/crime-in-the-u.s/2015/crime-in-the-u.s.-2015/tables/table-20

In: Statistics and Probability

An educational psychologist wants to know if length of time and type of training affect learning...

An educational psychologist wants to know if length of time and type of training affect learning simple fractions. Fifth graders were randomly selected and assigned to different times (from 1 to 3 hours) and different teaching conditions (old method vs. meaningful method). All students were then tested on the "fractions" subtest of a standard arithmetic test. What can the psychologist conclude with α = 0.01?

Time
Train one hr two hrs three hrs
old 5
6
7
6
7
7
8
9
10
meaningful 6
7
11
9
10
11
7
9
10

Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s).
Train: η2 =   ;  ---Select--- na trivial effect small effect large effect
Time: η2 =   ;  ---Select--- na trivial effect small effect large effect
Interaction: η2 =   ;  ---Select--- na trivial effect small effect large effect

In: Statistics and Probability

Read the following paragraph and answer question 44. Country Hippo experiences a high level of unemployment...

Read the following paragraph and answer question 44. Country Hippo experiences a high level of unemployment and there are few jobs that people can compete for. About 50% of those unemployed have been looking for work for a year or longer. There are several reasons why people choose to not seek employment. The government decided to help unemployed people by increasing unemployment benefits. 44. Which one of the following statements is correct? 1. There will be an upward movement along the WS curve indicating a higher real wage and lower unemployment. 2. The natural rate of unemployment will decrease to ensure that the bargained real wage is equal to the implied real wage. 3. The natural rate of unemployment will increase to ensure that the bargained real wage is equal to the implied real wage. 4. The rate of unemployment will be lower and the bargained real wage will be equal to the implied real wage.

In: Economics

Many factors influenced the development, content, and sequencing of the DSM-5. Name one or two of...

Many factors influenced the development, content, and sequencing of the DSM-5. Name one or two of the factors mostly impacts the clinical practice and was presented and discussed in this course for 8 of the DSM-5 disorders.

Many factors influenced the development, content, and sequencing of the DSM-5. Name one or two of the factors mostly impacts the clinical practice and was presented and discussed in this course for 8 of the Disorders which is Schizophrenia Spectrum and Other Psychotic Disorders , Neurodevelopmental Disorder, Bipolar and Related disorder ,Depressive disorder , Anxiety disorder , Obsessive-Compulsive and Related disorders, Dissociative Disorders , Somatic Symptom and Related Disorders.

In: Psychology

Consumer Research, Inc., is an independent agency that conducts research on consumer attitudes and behaviors for...

Consumer Research, Inc., is an independent agency that conducts research on consumer attitudes and behaviors for a variety of firms. In one study, a client asked for an investigation of consumer characteristics that can be used to predict the amount charged by credit card users. Data were collected on an annual income, household size, and annual credit card charges for a sample of 50 consumers. The following data are contained in the file below.

Income
($1000s)
Household
Size
Amount
Charged ($)
54 3 4,016
30 2 3,159
32 4 5,100
50 5 4,742
31 2 1,864
55 2 4,070
37 1 2,731
40 2 3,348
66 4 4,764
51 3 4,110
25 3 4,208
48 4 4,219
27 1 2,477
33 2 2,514
65 3 4,214
63 4 4,965
42 6 4,412
21 2 2,448
44 1 2,995
37 5 4,171
62 6 5,678
21 3 3,623
55 7 5,301
42 2 3,020
41 7 4,828
54 6 5,573
30 1 2,583
48 2 3,866
34 5 3,586
67 4 5,037
50 2 3,605
67 5 5,345
55 6 5,370
52 2 3,890
62 3 4,705
64 2 4,157
22 3 3,579
29 4 3,890
39 2 2,972
35 1 3,121
39 4 4,183
54 3 3,730
23 6 4,127
27 2 2,921
26 7 4,603
61 2 4,273
30 2 3,067
22 4 3,074
46 5 4,820
66 4 5,149

Managerial report:

1) Use methods of descriptive statistics to summarize the data. Comment on the findings

2) Develop estimated regression equations, first using annual income as the independent variable and then using household size as the independent variable. Which variable is the better predictor of annual credit card charges? Discuss your findings.

3) Develop an estimated regression equation with annual income and household size as independent variables. Discuss your findings.

4) What is the predicted annual credit card charge for a three-person household with an annual income of $40,000?

5) Discuss the need for other independent variables that could be added to the model. What additional variables might be helpful?

In: Statistics and Probability

***PLEASE SHOW HOW TO SOLVE IN EXCEL*** Case Problem 3:        Consumer Research, Inc. (Copy the worksheet...

***PLEASE SHOW HOW TO SOLVE IN EXCEL***

Case Problem 3:        Consumer Research, Inc.

(Copy the worksheet named “Consumer” in QMB3200-Homework#10Data.xlsx into your file for this problem)

Consumer Research, Inc., is an independent agency that conducts research on consumer attitudes and behaviors for a variety of firms. In one study, a client asked for an investigation of consumer characteristics that can be used to predict the amount charged by credit card users. Data were collected on annual income, household size, and annual credit card charges for a sample of 50 consumers and are provided in the worksheet named “Consumer.”

Income ($1000s) Household Size Amount Charged ($)
54 3 4016
30 2 3159
32 4 5100
50 5 4742
31 2 1864
55 2 4070
37 1 2731
40 2 3348
66 4 4764
51 3 4110
25 3 4208
48 4 4219
27 1 2477
33 2 2514
65 3 4214
63 4 4965
42 6 4412
21 2 2448
44 1 2995
37 5 4171
62 6 5678
21 3 3623
55 7 5301
42 2 3020
41 7 4828
54 6 5573
30 1 2583
48 2 3866
34 5 3586
67 4 5037
50 2 3605
67 5 5345
55 6 5370
52 2 3890
62 3 4705
64 2 4157
22 3 3579
29 4 3890
39 2 2972
35 1 3121
39 4 4183
54 3 3730
23 6 4127
27 2 2921
26 7 4603
61 2 4273
30 2 3067
22 4 3074
46 5 4820
66 4 5149

Managerial Report

  1. Use methods of descriptive statistics to summarize the data. Comment on the findings.
  2. Develop estimated regression equations, first using annual income as the independent variable and then using household size as the independent variable. Which variable is the better predictor of annual credit card charges? Discuss your findings.
  3. Develop an estimated regression equation with annual income and household size as the independent variables. Discuss your findings.
  4. What is the predicted annual credit card charge for a three-person household with an annual income of $40,000?
  5. Discuss the need for other independent variables that could be added to the model. What additional variables might be helpful?

In: Statistics and Probability