Questions
A certain retail store bases its staffing on the number of customers that arrive during certain...

A certain retail store bases its staffing on the number of customers that arrive during certain time slots. Based on prior experience this store expects 32% of its customers between 8:00 am and 12:00 pm; 21% of its customers between 12:00 pm and 4:00 pm; 35% of its customers between 4:00 pm and 8:00 pm; and 12% of its customers between 8:00 pm and midnight. On a certain day, the store had 214, 198, 276, and 134 customers in those time slots, respectively. Should the store change its staffing? (Consider an alpha of 0.05.)

Solution:

Ho: The expected values match the observed values
Ha: The expected values do not match the observed values assign(“exp”,c(32,21,35,12)) assign(“obs”,c(214,198,276,134))
sum((obs-exp)^2/exp) = 5426.773
1-pchisq(5426.773,3) = 0
p < alpha, therefore RHo: the store should change its staffing.

What was wrong with this solution?

In: Statistics and Probability

Suppose you are now a Founder and CEO of Rent the Dresses, Inc., an online rental...

Suppose you are now a Founder and CEO of Rent the Dresses, Inc., an online rental site for premium dresses primarily for women. Because the business is a start-up, there is no accountant on the management team yet, so you have been doing the accounting. You notice that an average of 100,000 visitors come to your website, of which 60% browse through the website. 20% of them register and put at least one item in the shopping cart. One out of three registered customers actually checkout and pay for the items. Calculate the following (and show your work for partial credit!) a. Bounce rate b. Conversion rate c. Average monthly revenue, assuming AOV is $200.

In: Accounting

Elaborate KNM GROUP by the Acquisitions of 2004 onwards.

Elaborate KNM GROUP by the Acquisitions of 2004 onwards.

In: Economics

6) Evidence on IPO underpricing is provided in several empirical studies, including a seminal paper by...

6) Evidence on IPO underpricing is provided in several empirical studies, including a seminal paper by Loughran and Ritter (2004). 7) On average, IPOs traded at a premium and one reason can be underpricing of IPO at the offer time. Briefly discuss whether this result is consistent with previous empirical studies (Loughran and Ritter (2004)about IPO traded at premium if they were underpriced at offer time.

In: Finance

The marketing team at an internet music site wants a better understanding of who their customers...

The marketing team at an internet music site wants a better understanding of who their customers are. They send out a survey to 25 customers​ (and use an incentive of​ $50 worth of downloads to guarantee a high response​ rate) asking for demographic information. One of the variables is the​ customer's age. For the 25​ customers, the ages are shown to the below. Complete parts​ a) through​ d).

19 , 30 , 39 , 26 , 36 , 32 , 31 , 22 , 23 , 43 , 35 , 13 , 44 , 31 , 44 , 29 , 28 , 47 , 36, 44 , 31 , 12 , 27 , 33 , 47

a)Find the quartiles Q1 & Q2

​b)Find the quartiles Q1 & Q2 using the Tukey method.

​c)Find the IQR using the quartiles from part b.

d)Find the standard deviation.

In: Statistics and Probability

School Revenue %Wins Salary Alabama 6.5 61 1.00 Arizona 16.6 63 0.70 Arkansas 11.1 72 0.80...

School Revenue %Wins Salary
Alabama 6.5 61 1.00
Arizona 16.6 63 0.70
Arkansas 11.1 72 0.80
Boston College 3.4 80 0.53
California 6.0 68 0.85
Cincinnati 5.7 61 0.18
Duke 12.4 90 1.40
Florida 6.5 80 1.70
Florida State 6.8 68 0.74
Gonzaga 2.5 90 0.50
Illinois 11.3 83 0.70
Indiana 11.9 63 0.78
Iowa 10.5 73 0.80
Kansas 11.8 76 1.00
LSU 4.6 76 0.72
Marquette 5.8 67 1.10
Memphis 5.6 90 1.20
Michigan State 11.0 68 1.60
N.C. State 11.4 72 0.90
Nevada 3.3 83 0.26
Northern Iowa 1.2 72 0.18
Ohio State 11.4 85 0.83
Oklahoma 6.2 74 1.00
Pittsburg 7.8 79 0.49
San Diego State 2.6 73 0.36
Southern Illinois 1.2 69 0.21
Syracuse 12.4 66 0.38
Tennessee 5.4 78 0.80
Texas 12.0 83 1.30
Texas A&M 6.5 74 0.63
UAB 1.9 82 0.60
UCLA 7.1 81 0.91
Uconn 7.9 90 1.50
UNC 15.0 78 1.40
Villanova 4.2 89 0.51
Washington 5.0 83 0.89

What can we say about winning percentage and coach's salary as contributors to "Revenue"? Select one: a. Surprisingly, coach's salary has a positive impact on revenue, while winning percentage has a negative impact. b. As would be expected, winning percentage has a positive effect, and coach's salary impact is negative. c. Both winning percentage and coach's salary have a positive impact on revenue. d. More data is needed to conduct a meaningful analysis. e. Answer pending

What is the error of estimation for Alabama’s revenue?

Select one:

a. 4.1 Million

b. 10.6 Million

c. 8.3 Million

d. 0

e. Cannot be determined.

In: Statistics and Probability

Source: Developing academic language with the SIOP Model, by Short and Echevarría 1.     On page 27, Short...

Source: Developing academic language with the SIOP Model, by Short and Echevarría

1.     On page 27, Short and Echevarría offer examples of verbal scaffolding. explain three scaffolds why they are important. (p. 27)

2.      What are the four categories of language objectives? please explain each category. (pp. 42-43)

In: Psychology

4. A small airport has flights to only two cities, A and B. Suppose they get...

4. A small airport has flights to only two cities, A and B. Suppose they get an average of 40 customers per
hour who want to fly to city A and 30 customers per hour who want to fly to city B. If these are independent
Poisson processes, then find the probability that
a) (3 pts) there are 7 or more customers who want to fly to city A in the next 6 minutes. Give your answer
to three decimal places.
b) (3 pts) 5 out of the next 8 customers want to fly to city A. Give your answer to three decimal places.
c) (3 pts) if 15 customers who want to fly to city B arrive in the next 30 minutes, then find the probability
that exactly four of them arrived in the first 5 minutes. Give your answer to three decimal places.

In: Statistics and Probability

Please use ONLY one Excel file to complete this case study, and use one spreadsheet for...

Please use ONLY one Excel file to complete this case study, and use one spreadsheet for each problem.

  1. Develop a linear regression model to predict Wal-Mart revenue, using CPI as the only independent variable.
  2. Develop a linear regression model to predict Wal-Mart revenue, using Personal Consumption as the only independent variable.
  3. Develop a linear regression model to predict Wal-Mart revenue, using Retail Sales Index as the only independent variable.
  4. Which of these three models is the best?  Use R-square values, Significance F values, p-values and other appropriate criteria to explain your answer.
  5. Generate a scatter plot, residual plot and normal probability plot for the best model in part (d) and comment on what you see.

Identify and remove the five cases corresponding to December revenue.

  1. Develop a linear regression model to predict Wal-Mart revenue, using CPI as the only independent variable.
  2. Develop a linear regression model to predict Wal-Mart revenue, using Personal Consumption as the only independent variable.
  3. Develop a linear regression model to predict Wal-Mart revenue, using Retail Sales Index as the only independent variable.
  4. Which of these three models is the best?  Use R-square values and Significance F values to explain your answer.
  5. Generate a scatter plot, residual plot and normal probability plot for the best model in part (i) and comment on what you see.
  6. Comparing the results of parts (d) and (i), which of these two models is better? Use R-square values, Significance F values, p-values, scatter plot, residual plot and normal probability plot to explain your answer.

Date Wal Mart Revenue CPI Personal Consumption Retail Sales Index December
10/31/03 12.452 562.4 7941071 302065 0
11/28/03 14.764 552.7 7868495 301337 0
12/30/03 23.106 552.1 7885264 357704 1
1/30/04 12.131 554.9 7977730 281463 0
2/27/04 13.628 557.9 8005878 282445 0
3/31/04 16.722 561.5 8070480 319107 0
4/29/04 13.98 563.2 8086579 315278 0
5/28/04 14.388 566.4 8196516 328499 0
6/30/04 18.111 568.2 8161271 321151 0
7/27/04 13.764 567.5 8235349 328025 0
8/27/04 14.296 567.6 8246121 326280 0
9/30/04 17.169 568.7 8313670 313444 0
10/29/04 13.915 571.9 8371605 319639 0
11/29/04 15.739 572.2 8410820 324067 0
12/31/04 26.177 570.1 8462026 386918 1
1/21/05 13.17 571.2 8469443 293027 0
2/24/05 15.139 574.5 8520687 294892 0
3/30/05 18.683 579.6 8568959 338969 0
4/29/05 14.829 582.9 8654352 335626 0
5/25/05 15.697 582.4 8644646 345400 0
6/28/05 20.23 582.6 8724753 351068 0
7/28/05 15.26 585.2 8833907 351887 0
8/26/05 15.709 588.2 8825450 355897 0
9/30/05 18.618 595.4 8882536 333652 0
10/31/05 15.397 596.7 8911627 336662 0
11/28/05 17.384 593.2 8916377 344441 0
12/30/05 27.92 589.4 8955472 406510 1
1/27/06 14.555 593.9 9034368 322222 0
2/23/06 18.684 595.2 9079246 318184 0
3/31/06 16.639 598.6 9123848 366989 0
4/28/06 20.17 603.5 9175181 357334 0
5/25/06 16.901 606.5 9238576 380085 0
6/30/06 21.47 607.8 9270505 373279 0
7/28/06 16.542 609.6 9338876 368611 0
8/29/06 16.98 610.9 9352650 382600 0
9/28/06 20.091 607.9 9348494 352686 0
10/20/06 16.583 604.6 9376027 354740 0
11/24/06 18.761 603.6 9410758 363468 0
12/29/06 28.795 604.5 9478531 424946 1
1/26/07 20.473 606.3 9540335 332797 0
2/23/07 21.922 619.4 9479239 335014 0
3/30/07 18.939 614.9 9583848 376491 0
4/27/07 22.47 619.8 9635181 366936 0
5/25/07 19.201 622.8 9698576 389687 0
6/29/07 23.77 623.9 9731285 382781 0
7/27/07 18.942 625.6 9799656 378113 0
8/31/07 19.38 626.9 9813630 392125 0
9/28/07 22.491 623.9 9809274 362211 0
10/26/07 18.983 621.6 9836807 364265 0
11/30/07 21.161 620.6 9870758 372970 0
12/28/07 31.245 622.5 9966331 434488 1

In: Math

On October 1, 2021, a company sells $800 of gift cards to customers. The gift cards...

On October 1, 2021, a company sells $800 of gift cards to customers. The gift cards expire one year from the date of sale. By October 1, 2022, $750 of the gift cards have been redeemed and the sales recorded at the time of redemption. What entry, if any, should the company record on October 1, 2022?

A) Debit Sales Revenue, $50; credit Cash, $50. B) Debit Cash, $750; credit Sales Revenue, $750. C) Debit Deferred Revenue, $50; credit Sales Revenue, $50. D) No journal entry is necessary.

In: Accounting