Questions
Network Solutions just introduced a​ new, fully automated manufacturing plant that produces 1,500 wireless routers per...

Network Solutions just introduced a​ new, fully automated manufacturing plant that produces 1,500 wireless routers per day with materials costs of $50 per router and no other costs. The average number of days a router is held in inventory before being sold is 54 days. In​ addition, they generally pay their suppliers in 27 ​days, while collecting from their customers after 26 days.

How much would working capital be reduced if they stretched their payments to suppliers from 27 days to 47 ​days?

In: Finance

Consider the following data on price ($) and the overall score for six stereo headphones tested...

Consider the following data on price ($) and the overall score for six stereo headphones tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest).

Brand Price ($) Score
A 180 74
B 150 73
C 95 63
D 70 58
E 70 40
F 35 28

Find the value of the test statistic. (Round your answer to three decimal places.)_____

Find the p-value. (Round your answer to four decimal places.)

p-value = ____

2.-Test for a significant relationship using the F test. Use α = 0.05.

Find the value of the test statistic. (Round your answer to two decimal places.)_____

Find the p-value. (Round your answer to three decimal places.)

p-value = ____

What is your conclusion?

Reject H0. We conclude that the relationship between price ($) and overall score is significant.

Do not reject H0. We conclude that the relationship between price ($) and overall score is significant.    

Reject H0. We cannot conclude that the relationship between price ($) and overall score is significant.

Do not reject H0. We cannot conclude that the relationship between price ($) and overall score is significant.

(c)Show the ANOVA table for these data. (Round your p-value to three decimal places and all other values to two decimal places.)

Source
of Variation
Sum
of Squares
Degrees
of Freedom
Mean
Square
F p-value
Regression
Error
Total

In: Statistics and Probability

- Identify at least three characteristics that Tardigrada share with members of the phylum Arthropoda? -...

- Identify at least three characteristics that Tardigrada share with members of the phylum Arthropoda?

- Identify at least two ways that they differ from members of the phylum Arthropoda.

- What is cryptobiosis and what advantage does it confer on an organism?

- Arthropods represent the cumulation of evolutionary development in the protostomes. identify at least three characteristics that contribute to their success. Briefly, explain the selective advantage of each.

In: Biology

For the past 112112 ​years, a certain state suffered 2828 direct hits from major​ (category 3...

For the past

112112

​years, a certain state suffered

2828

direct hits from major​ (category 3 to​ 5) hurricanes. Assume that this was typical and the number of hits per year follows a Poisson distribution. Complete parts​ (a) through​ (d).

​(a) What is the probability that the state will not be hit by any major hurricanes in a single​ year?

The probability is

1-The number of hits to a website follows a Poisson process. Hits occur at the rate of

1.0 per minute1.0 per minute

between​ 7:00 P.M. and

99​:00

P.M. Given below are three scenarios for the number of hits to the website. Compute the probability of each scenario between

8 : 27 P.M.8:27 P.M.

and

88​:3535

P.M. Interpret each result.

​(a) exactly fivefive

​(b) fewer than fivefive

​(c) at least fivefive

2-Determine the required value of the missing probability to make the distribution a discrete probability distribution. x ​P(x) 3 0.35 0.35 4 ​? 5 0.16 0.16 6 0.27 0.27 ​P(4) =

In: Statistics and Probability

As per the records, the data of subjects with Alzheimer’s disease roughly follow normal distribution with...

As per the records, the data of subjects with Alzheimer’s disease roughly follow normal distribution with

mean age of 80 years and standard deviation 16 years.

a. What is the probability that a subjects’ age is between 63 and 78 years?

b. What is the probability that a subjects’ age is between 74 and 97?

c. What is the probability that a subjects’ age is less than 80?

In: Statistics and Probability

What is the probability that the woman has a diastolic blood pressure between 60 and 90...

What is the probability that the woman has a diastolic blood pressure between 60 and 90 mmHg?

1. Suppose you have a variable X~N(8, 1.5).

Among females in the US between 18 and 74 years of age, diastolic blood pressure is normally distributed with mean µ=77mmHg and standard deviation σ=11.6mmHg

Note- 0.87 was not correct

In: Statistics and Probability

Where does all that Halloween candy go? The October 2004 issue of Readers' Digest quoted that...

Where does all that Halloween candy go? The October 2004 issue of Readers' Digest quoted that "86% of parents admit taking Halloween candy from their children's trick-or-treat bags." The source of information was the National Confectioners Association. Suppose that 25 parents are interviewed. What is the probability that 20 or more took Halloween candy from their children's trick-or-treat bags? (Give your answer correct to three decimal places.)

In: Statistics and Probability

There are three (3) primary factors, according to the Nagle, et.al. textbook, that adversely affect the...

  1. There are three (3) primary factors, according to the Nagle, et.al. textbook, that adversely affect the implementation and maintenance of a supplier’s pricing strategies. What are the factors that contribute to the failure of pricing strategies, and how would a firm mitigate the negative impact of these primary factors?

In: Operations Management

A regional airline transfers passengers from small airports to a larger regional hub airport. The airline...

A regional airline transfers passengers from small airports to a larger regional hub airport. The airline data analyst was assigned to estimate the revenue ( in thousands of dollars) generated by each of the 22 small airports based on two variables: the distance from each airport ( in miles) to the hub and the population ( in hundreds) of the cities in which each of the 22 airports is located. The data is given in the following table.

Airport revenue         distance         population

1          233                 233                 56

2          272                 209                 74

3          253                 206                 74

4          296                 232                 78

5          268                 125                 73

6          296                 245                 54

7          276                 213                 100

8          235                 134                 98

9          253                 140                 95       

10        233                 165                 81

11        240                 234                 52

12        267                 205                 96

13        338                 214                 96       

14        243                 183                 73

15        252                 230                 55

16        269                 238                 91

17        242                 144                 64

18        233                 220                 60

19        234                 170                 60

20        450                 170                 240    

21        340                 290                 70

22        200                 340                 75                   

  1. Using PROC CORR in SAS, create a matrix of scatter plots for revenue, population, and distance. Include this graph in your LATEX document.
  2. From your scatter plots in part (a), is there a data point that you think may be an “issue” for analysis?
  3. Construct and report a multiple regression model relating :
              revenue (y)
             distance (x1)
             population (x2)
              using SAS.
  4. Construct the 95% confidence interval for β1 by hand. (Use βˆ1 and the standard error calculated by SAS.)

In: Statistics and Probability

1) Table 17-30 Imagine a small town in which only two residents, Abby and Brad, own...

1) Table 17-30 Imagine a small town in which only two residents, Abby and Brad, own wells that produce safe drinking water. Each week Abby and Brad work together to decide how many gallons of water to pump. They bring water to town and sell it at whatever price the market will bear. To keep things simple, suppose that Abby and Brad can pump as much water as they want without cost so that the marginal cost is zero. The weekly town demand schedule and total revenue schedule for water is shown in the table below:

Quantity
(in gallons)

Price

Total Revenue
(and Total Profit)

0

$12

$0

1

$11

$11

2

$10

$20

3

$9

$27

4

$8

$32

5

$7

$35

6

$6

$36

7

$5

$35

8

$4

$32

9

$3

$27

10

$2

$20

11

$1

$11

12

$0

$0

Discuss the difference between the monopoly outcome and the Nash equilibrium.

2)

Table 17-32
Suppose that Angelina and Brad own the only two professional photography stores in town. Each must choose between a low price and a high price for senior photo packages. The annual economic profit from each strategy is indicated in the table below:

Angelina
Low price High price


Brad
Low price Angelina’s profit = $20,000
Brad’s profit = $20,000
Angelina’s profit = $4,000
Brad’s profit = $23,000
High price Angelina’s profit = $25,000
Brad’s profit = $5,000
Angelina’s profit = $22,000
Brad’s profit = $22,000

Refer to Table 17-32. Is there a Nash equilibrium? If so, describe it.

In: Economics