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.
|
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 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 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.
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 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 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 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
In: Psychology
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 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
In: Statistics and Probability