For the data set shown below, complete parts (a) through (d) below. x y 20 102 30 95 40 91 50 81 60 68 (a) Use technology to find the estimates of beta 0 and beta 1. beta 0 ~ b 0=_____(Round to two decimal places as needed.) beta 1 ~ b 1=_____(Round to two decimal places as needed.) (b) Use technology to compute the standard error, the point estimate for o' (o with a little tag on the top) S e =_____(Round to four decimal places as needed.) (c) Assuming the residuals are normally distributed, use technology to determine Sb1 Sb1 =_____ (Round to four decimal places as required) (d) Assuming the residuals are normally distributed, test H0: B1 =0 versus H1:B1 =/ at the a = 0.005 level of significance. Use the P - value approach. The P - value for this test is _____ (Round to three decimal places as needed.
In: Statistics and Probability
Zion Electronics Company produces two products, Resistors and
Transistors in a small manufacturing plant which had total
manufacturing overhead of $21,000 in June. The factory has two
departments, Design, which incurred $10,000 of manufacturing
overhead, and Production which incurred $11,000 of manufacturing
overhead. Design used 250 hours of direct labor and Production used
80 machine hours.
Assume that Resistors used 100 direct labor hours to make 100 units
and Transistors used 150 direct labor hours to make 100 units in
the Design Department. Also, assume that Resistors used 50 machine
hours and Transistors used 30 machine hours in the Production
Department.
The overhead costs assigned to each unit of Resistors and
Transistors using department overhead rate were:
| A. |
$108.75 for Resistors and $101.25 for Transistors |
|
| B. |
$40 for Resistors and $137.50 for Transistors |
|
| C. |
$234.30 for Resistors and $215.60 for Transistors |
|
| D. |
$177.50 for Resistors and $177.50 for Transistors |
In: Accounting
Super Sneaker Company is evaluating two different materials, A and B, to be used to construct the soles of their new active shoe targeted to city high school students in Canada. While material B costs less than material A, the company suspects that mean wear for material B is greater than mean wear for material A. Two study designs were initially developed to test this suspicion. In both designs, Halifax was chosen as a representative city of the targeted market. In Study Design 1, 8 high school students were drawn at random from the Halifax School District database. After obtaining their shoe sizes, the company manufactured 8 pairs of shoes, each pair with one shoe having a sole constructed from material A and the other shoe, a sole constructed from material B.
After 3 months, the amount of wear in each shoe was recorded in standardized units as follows:
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
| A | 17.23 | 13.09 | 11.13 | 15.02 | 12.01 | 11.68 | 13.62 | 13.45 |
| B | 14.73 | 15.17 | 13.73 | 13.08 | 15.51 | 14.09 | 12.70 |
14.57 |
What is the 99% confidence interval for the difference in wear between material B and material A (use B-A)? Use software to get a more precise critical value, but confirm it's roughtly the same value you get from the table. Use at least 5 digits to the right of the decimal. Lower bound: Upper bound:
Alternative hypothesis was: uA-uB < 0
In: Statistics and Probability
To examine the work environment on attitude toward work, an
industrial hygienist randomly assigns a group of 18 recently hired
sales trainees to three "home rooms" - 6 trainees per room. Each
room is identical except for wall color. One is light green,
another is light blue, and the third is a deep red. During the
week-long training program, the trainees stay mainly in their
respective home rooms. At the end of the program, an attitude scale
is used to measure each trainer's attitude toward work (a low score
indicates a poor attitude and a high score a good attitude). On the
basis of these data, the industrial hygenist wants to determine
whether there is significant evidence that work environment (i.e.,
color of room) has an effect on attitude toward work, and if so,
which room color(s) appear to significantly enhance attitude using
the ANOVA test.
Here is the data:
Light Green Light Blue Deep Red
46 59 34
51 54 29
48 47 43
42 55 40
58 49 45
50 44 34
What is your conclusion?
Please help me to answer the question. Please give me step by step
instructions on how to use SPSS program - ANOVA test. Thank
you.
In: Statistics and Probability
Today is Sept. 1, 2009. Starting today you plan to invest $1000 every year, first deposit today and last deposit on Sept. 1, 2025. After that, you plan to leave the money in the same account until Sept. 1, 2030. However, the interest rate is 8% compounded quarterly until your last deposit and only 7% compounded annually after that. How much money will you have in your account on Sept. 1, 2030?
a. $34,504.14
b. $35,504.14
c. $48,393.84
d. $49,005.74
e. None of the above
In: Finance
Eating Disorder Assignment (Nutrition An Applied Approach Fifth Edition by Janice Thompson and Melinda Manore)
IN Depth Assignment Eating Disorders Read pages 413-423
Listed are two teens with Eating Disorders. Write a 150-word paragraph for both teens that describe possible signs of the disorder that other people might notice. Make sure to include the health consequences that each teen might have. Also, If these two were your friends how would you help them?
Mary is 14. She is 5’7” tall and weighs 110-pounds, she looks in the mirror and sees a fat person. At lunch with her parents she tells them that she is not hungry and she will eat later. However, Mary does not eat later because she is starving herself in silence. She has not told anyone. She has eaten less than 500 calories per day for the last 2 weeks.
Sam is 17. He is a wrestler. Sam is the best in his weight class. However, if he gains 5 pounds he will get bumped up a class and then will have to wrestle larger athletes. Sam exercises excessively and he takes laxatives to lose weight. He has thrown up a few times after he eats fast food with his friends. Sam does not eat or drink the day before he gets weighed- in for the match. Immediately after weigh-in, Sam eats excessively for energy before he wrestles.
In: Nursing
A food company has recently introduced a new line of fruit pies in 6 US cities: Atlanta, Baltimore, Chicago, Denver, St. Louis, and Fort Lauderdale. Based on the pie’s apparent success, the company is considering a nationwide launch. Before doing so, it has decided to use data collected during a two-year market test to guide it in setting prices and forecasting future demand.
For each of the 6 markets, the firm has collected eight quarters of data for a total of 48 observations. Each observation consists of data on quantity demanded (number f pies purchased per week), price per pie, a competitor’s average price per pie, income, and population. The company has also included a time-trend variable. A value of 1 denotes the 1st quarter observation, 2 the 2nd quarter, and so on, up to 8 for the 8th and last quarter.
A company forecaster has run a regression on the data, obtaining the results displayed in the accompanying table.
| Coefficient | Stand. Error of Coefficient | Mean Value of Variable | |||||||||||||||||||||
| Intercept | -4,516.3 | 4,988.2 | ------ | ||||||||||||||||||||
| Price ($) | -3,590.6 | 702.8 | 7.5 | ||||||||||||||||||||
| Competitors'price($) | 4,226.5 | 851 | 6.5 | ||||||||||||||||||||
| Income ($000) | 777.1 | 66.4 | 40 | ||||||||||||||||||||
| Population (000) | 0.40 | 0.31 | 2,300 | ||||||||||||||||||||
| Time (1 to 8) | 356.1 | 92.3 | ------ | ||||||||||||||||||||
| N = 48 | R^2 = 0.93 | Standard error regression = 1,442 |
C.) Other things equal, how much do we expect sales to grow (or fall) over the next year?
D.) How much accurate is the regression equation in predicting sales new quarter? Two years from now? Why might these answers differ?
E.) How confident are you about applying these test-market results to decisions concerning national pricing strategies for pies?
In: Economics
Cost Behavior
SmokeCity, Inc., manufactures barbeque smokers. Based on past experience, SmokeCity has found that its total annual overhead costs can be represented by the following formula: Overhead cost = $584,685 + $1.42X, where X equals number of smokers. Last year, SmokeCity produced 21,300 smokers. Actual overhead costs for the year were as expected.
Required:
2. What is the total overhead cost incurred by SmokeCity last year?
$
3. What is the total fixed overhead cost incurred by SmokeCity last year?
$
4. What is the total variable overhead cost incurred by SmokeCity last year?
$
For questions 5-7, round your answers to the nearest cent. Use those rounded figures in subsequent computations, if necessary.
5. What is the overhead cost per unit produced?
$ per unit
6. What is the fixed overhead cost per unit?
$ per unit
7. What is the variable overhead cost per unit?
$ per unit
8. Recalculate Requirements 5, 6, and 7 for the following levels of production: (a) 21,000 units and (b) 22,800 units. Round your answers to the nearest cent.
| 21,000 Units | 22,800 Units | |
|---|---|---|
| Unit cost | $ | $ |
| Unit fixed cost | ||
| Unit variable cost |
In: Accounting
In: Accounting
Office Automation, Inc., developed a proposal for introducing a new computerized office system that will standardize the electronic archiving of invoices for a particular company. Contained in the proposal is a list of activities that must be accomplished to complete the new office system project. Use the following relevant information about the activities:
| Immediate | Time (weeks) | Cost ($1000s) | |||||||
| Activity | Description | Predecessor(s) | Normal | Crash | Normal | Crash | |||
| A | Plan needs | — | 12 | 8 | 30 | 110 | |||
| B | Order equipment | A | 8 | 6 | 120 | 150 | |||
| C | Install equipment | B | 10 | 7 | 100 | 160 | |||
| D | Set up training lab | A | 7 | 6 | 40 | 50 | |||
| E | Conduct training course | D | 10 | 8 | 50 | 75 | |||
| F | Test system | C, E | 3 | 3 | 60 | — | |||
| (i) | (ii) | ||
| (iii) | (iv) |
| Earliest | Latest | Earliest | Latest | Critical | ||||||||
| Activity | Start | Start | Finish | Finish | Slack | Activity | ||||||
| A | ||||||||||||
| B | ||||||||||||
| C | ||||||||||||
| D | ||||||||||||
| E | ||||||||||||
| F | ||||||||||||
| Crash Activities | Number of Weeks | Cost ($1000s) |
| A | 4 | |
| B | 2 | |
| C | 1 | |
| D | 1 | |
| E | 1 | |
| Earliest | Latest | Earliest | Latest | Critical | ||||||||
| Activity | Start | Start | Finish | Finish | Slack | Activity | ||||||
| A | ||||||||||||
| B | ||||||||||||
| C | ||||||||||||
| D | ||||||||||||
| E | ||||||||||||
| F | ||||||||||||
In: Statistics and Probability