Show all work please.
1. Certain standardized math exams have a mean of 100 and a standard deviation of 60. Of a sample of 36 students who take this exam, what percent could you expect to score between 70 and 110?
A) 84
B) 81.5
C) 83.85
D) 85
2. Certain standardized math exams had a mean of 120 and a standard deviation of 20. Of students who take this exam, what percent could you expect to score between 60 and 80?
A) 2.5
B) 2.35
C) 97.5
D) 13.5
3. A random sample of n measurements was selected from a
population with unknown mean μ and known standard deviation σ.
Using the 68-95-99.7 rule, calculate a 68% confidence interval for
μ for the given situation. Round to the nearest hundredth when
necessary.
n = 100, Xbar = 74, σ = 25
| A) |
74 ± 0.49 |
|
| B) |
74 ± 2.5 |
|
| C) |
74 ± 25 |
|
| D) |
74 ± 2.10 |
4.Certain standardized math exams have a mean of 100 and a standard deviation of 60. Of a sample of 36 students who take this exam, what percent could you expect to score above 90?
A)84
B)81.5
C)83.85
D)16
In: Statistics and Probability
Dear Expert
I need your perception and answers how to solve this problem
Pagliaci Pizza is developing a new frozen pizza product, and it asked a random sample of 30 customers to rate the product quality (x variable). The company also observed whether the customer bought the product at the end (y variable)
| Customer | Quality Rating | Buy or Not (Buy=1, Not buy=0) |
| 1 | 16 | 0 |
| 2 | 20 | 0 |
| 3 | 27 | 0 |
| 4 | 29 | 0 |
| 5 | 38 | 0 |
| 6 | 46 | 0 |
| 7 | 46 | 0 |
| 8 | 47 | 1 |
| 9 | 49 | 0 |
| 10 | 50 | 0 |
| 11 | 52 | 0 |
| 12 | 53 | 1 |
| 13 | 55 | 0 |
| 14 | 59 | 1 |
| 15 | 64 | 0 |
| 16 | 68 | 1 |
| 17 | 72 | 0 |
| 18 | 74 | 1 |
| 19 | 76 | 0 |
| 20 | 80 | 1 |
| 21 | 82 | 1 |
| 22 | 85 | 1 |
| 23 | 87 | 0 |
| 24 | 88 | 1 |
| 25 | 88 | 1 |
| 26 | 89 | 1 |
| 27 | 90 | 0 |
| 28 | 91 | 1 |
| 29 | 94 | 1 |
| 30 | 96 |
1 |
a. Write the estimated logistic regression equation relating x to y.
b. Based on the equation in part A), estimate the probability that a customer who gives a score of 90 points will buy the product.
c. Based on the equation in part A), a customer will have a 0.80 or higher probability of buying, what is the value of this score?
In: Statistics and Probability
Simulation Case Study:
Phoenix Boutique Hotel Group
Phoenix Boutique Hotel Group (PBHG) was founded in 2007 by Bree Bristowe. Having worked for several luxury resorts, Bristowe decided to pursue her dream of owning and operating a boutique hotel. Her hotel, which she called PHX, was located in an area that included several high-end resorts and business hotels. PHX filled a niche market for “modern travelers looking for excellent service and contemporary design without the frills.” Since opening PHX, Bristowe has invested, purchased, or renovated three other small hotels in the Phoenix metropolitan area: Canyon Inn PHX, PHX B&B, and The PHX Bungalows.
One of the customer service enhancements Bristowe has implemented is a centralized, toll-free reservation system. Although many customers book specific hotels online, the phone reservation system enables PBHG to find the best reservation match at all properties. It has been an excellent option for those customers who have preferences regarding the type of room, amenity options, and the best price across the four hotel locations.
Currently, three agents are on staff for the 6 a.m. to 2 p.m. call shift. The time between calls during this shift is represented in Table 1. The time to process reservation requests during this shift is in Table 2.
Table 1: Incoming Call Distribution
|
Time Between Calls (Minutes) |
Probability |
|
1 |
0.13 |
|
2 |
0.23 |
|
3 |
0.27 |
|
4 |
0.19 |
|
5 |
0.15 |
|
6 |
0.09 |
Table 2: Service Time Distribution
|
Time to Process Customer Inquiries (Minutes) |
Probability |
|
1 |
0.19 |
|
2 |
0.17 |
|
3 |
0.16 |
|
4 |
0.15 |
|
5 |
0.11 |
|
6 |
0.08 |
|
7 |
0.03 |
Bristowe wants to ensure customers are not on hold for longer than 2 minutes. She is debating hiring additional staff for this shift based on the available data. Additionally, Bristowe and PBHG will soon be featured in a national travel magazine with a circulation of over a million subscriptions. Bristowe is worried that the current operators may not be able to handle the increase in reservations. The projected increase for call distribution is represented in Table 3.
Table 3: Incoming Call Distribution
|
Time Between Calls (Minutes) |
Probability |
|
1 |
0.26 |
|
2 |
0.27 |
|
3 |
0.24 |
|
4 |
0.14 |
|
5 |
0.11 |
|
6 |
0.06 |
Bristowe has asked for your advice in evaluating the current phone reservation system. Create a simulation model to investigate her concerns. Make recommendations about the reservation agents.
|
Arrival Interval Distribution |
||||||||||||
|
Random Number Lower Limit |
Range Upper Limit |
Arrival Gap Minute |
||||||||||
|
Probability |
||||||||||||
|
0.13 |
0 |
10 |
1 |
|||||||||
|
0.23 |
11 |
31 |
2 |
|||||||||
|
0.27 |
32 |
53 |
3 |
|||||||||
|
0.19 |
54 |
73 |
4 |
|||||||||
|
0.15 |
74 |
89 |
5 |
|||||||||
|
0.09 |
90 |
99 |
6 |
|||||||||
|
Service Time Distribution |
||||||||||||
|
Random Number Lower Limit |
Range Upper Limit |
Service Time (minutes) |
||||||||||
|
Probability |
||||||||||||
|
0.19 |
0 |
19 |
1 |
|||||||||
|
0.17 |
20 |
38 |
2 |
|||||||||
|
0.16 |
39 |
56 |
3 |
|||||||||
|
0.15 |
57 |
73 |
4 |
|||||||||
|
0.11 |
74 |
86 |
5 |
|||||||||
|
0.08 |
87 |
96 |
6 |
|||||||||
|
0.03 |
97 |
99 |
7 |
|||||||||
|
Customer Number |
Random Number |
Arrival Gap |
Random Number |
Service Time |
Arrive Time |
Service Start |
Service End |
Time in System |
Time on Hold |
Time Server Idle |
Percent Utilization |
|
|
Summary for This Trial Run Average: |
||||||||||||
|
maximums |
||||||||||||
|
1 |
1 |
19 |
||||||||||
|
2 |
49 |
13 |
||||||||||
|
3 |
96 |
28 |
||||||||||
|
4 |
60 |
78 |
||||||||||
|
5 |
19 |
61 |
||||||||||
|
6 |
9 |
55 |
||||||||||
|
7 |
83 |
60 |
||||||||||
|
8 |
94 |
25 |
||||||||||
|
9 |
28 |
15 |
||||||||||
|
10 |
48 |
47 |
||||||||||
|
11 |
7 |
84 |
||||||||||
|
12 |
76 |
52 |
||||||||||
|
13 |
39 |
74 |
||||||||||
|
14 |
2 |
7 |
||||||||||
|
15 |
73 |
8 |
||||||||||
In: Statistics and Probability
The following activity occurred during May 2016 for ABC Inc.:
| Date | Description |
|---|---|
| May 1 | Owner invested $145,000 in cash in exchange for 1,000 shares of $1 par common stock. |
| May 4 | Company sold $5,000 worth of goods. Customer paid half cash and half on account. The merchandise sold had a cost to the company of $3,500. |
| May 6 | Accepted $500 of advance payments from customers for services to be provided next month. |
| May 27 | Received a utility bill for $450. Payment is due in 30 days. The company decides to wait exactly 30 days to pay. |
| May 29 | Mr. Jones paid in full the outstanding debt he had with the company. |
| May 31 | The company declares a stock split. |
Using the information above, what journal entry would be required to record the transaction of May 4?
Select one:
a.
| Cash | $2,500 | ||
| Accounts Receivable | $2,500 | ||
| Cost of Goods Sold | $3,500 | ||
| Revenue | $5,000 |
b.
| Cash | $2,500 | ||
| Accounts Receivable | $2,500 | ||
| Cost of Goods Sold | $3,500 | ||
| Inventory | $3,500 | ||
| Revenue | $5,000 |
c.
| Cash | $5,000 | ||
| Cost of Goods Sold | $3,500 | ||
| Inventory | $3,500 | ||
| Revenue | $5,000 |
d.
| Cash | $2,500 | ||
| Accounts Receivable | $2,500 | ||
| Revenue | $5,000 |
In: Accounting
Minta Corporation is a leading manufacturer of sports apparel, shoes, and equipment. The company’s 2017 financial statements contain the following information ($ in millions):
| 2017 | 2016 | ||||
| Balance sheets: | |||||
| Accounts receivable, net | $ | 4,117 | $ | 3,681 | |
| Income statements: | |||||
| Sales revenue | $ | 35,590 | $ | 33,616 | |
A note disclosed that the allowance for uncollectible accounts had
a balance of $27 million and $51 million at the end of 2017 and
2016, respectively. Bad debt expense for 2017 was $48 million.
Assume that all sales are made on a credit basis.
Required:
1. What is the amount of gross (total) accounts
receivable due from customers at the end of 2017 and 2016?
2. What is the amount of bad debt write-offs
during 2017?
3. Analyze changes in the gross accounts
receivable account to calculate the amount of cash received from
customers during 2017.
4. Analyze changes in net accounts receivable to
calculate the amount of cash received from customers during
2017.
______________________________________________________________________________________________________
1.
|
2.
|
|
|||||||||||||||||||||||||
4.
|
In: Accounting
1. A taste-testing experiment has been designed so that four brands of Colombian coffee are to be rated by nine experts. To avoid any carryover effects, the tasting sequence for the four brews is randomly determined for each of the nine expert tasters until a rating on a 7-point scale (1=extremely unpleasing, 7=extremely pleasing) is given for each of the following four characteristics: taste, aroma, richness, and acidity. The following table displays the summated ratings-accumulated over all four characteristics.
|
BRAND |
||||
|
Expert |
A |
B |
C |
D |
|
C.C. |
24 |
26 |
25 |
22 |
|
S.E. |
27 |
27 |
26 |
24 |
|
E.G. |
19 |
22 |
20 |
16 |
|
B.L. |
24 |
27 |
25 |
23 |
|
C.M. |
22 |
25 |
22 |
21 |
|
C.N. |
26 |
27 |
24 |
24 |
|
G.N. |
27 |
26 |
22 |
23 |
|
R.M. |
25 |
27 |
24 |
21 |
|
P.V. |
22 |
23 |
20 |
19 |
2. Suppose a company is looking at the time between computer failures in 3 different locations. The data are given below:
|
Location |
||
|
1 |
2 |
3 |
|
105 |
76 |
183 |
|
3 |
43 |
144 |
|
90 |
1 |
219 |
|
217 |
37 |
76 |
|
22 |
14 |
39 |
In: Statistics and Probability
A monopolist faces a demand curve of Q = 164 – P, where P is price and Q is the output produced by the monopolist. What choice of output will maximize revenue?
Group of answer choices
70
74
82
86
if monopolist produces good X and faces a demand curve X = 112 - 2P, where P is price. What is the monopolist's marginal revenue as a function of good X?
Group of answer choices
44 - X
56 - 0.5X
56 - X
44 - 0.5X
In: Economics
For many years, Lawton Industries has manufactured prefabricated houses where the houses are constructed in sections to be assembled on customers’ lots. The company expanded into the precut housing market in 2006 when it acquired Presser Company, one of its suppliers. In this market, various types of lumber are precut into the appropriate lengths, banded into packages, and shipped to customers’ lots for assembly. Lawton decided to maintain Presser’s separate identity and, thus, established the Presser Division as an investment center of Lawton.
Lawton uses return on average investment (ROI) as a performance measure the investment defined as operating assets employed. Management bonuses are based in part on ROI. All investments in operating assets are expected to earn a minimum return of 15% before income taxes. Presser’s ROI has ranged from 19.3% to 22.1% since it was acquired in 2006. The division had an investment opportunity in the year just ended that had an estimated ROI of 18%, but Presser’s management decided against the investment because it believed the investment would decrease the division’s overall ROI.
Presser’s operating statement for the year just ended is presented next. The division’s operating assets employed were $12,600,000 at the end of the year, a 5% increase over the balance at the end of the previous year.
_______________________________________________________________________
Presser Division Operating Statement
For the year ended Dec. 31
($000 omitted)
_______________________________________________________________________
Sales Revenue $24,000
Cost of Goods Sold 15,800
Gross Profit $8,200
Operating Expenses
Administrative $2,140
Selling 3,600 5,740
Income from operations
Before income taxes $2,460
_______________________________________________________________________
Questions
The Presser Division is a separate investment center with Lawton Industries. Identify and describe the items Presser must control if it is to be evaluated fairly by either the ROI or residual income performance measures
In: Accounting
The following data pertain to the Marie Manufacturing Company for the year ended December 31, 2004. The company used 51,000 direct labor hours during 2004.
Beginning direct material
inventory
$ 42,000
Ending direct material inventory 48,000
Beginning work-in-process inventory 84,000
Ending work-in-process inventory 93,000
Beginning finished goods inventory 124,000
Ending finished goods inventory 133,000
Direct material purchased 850,000
Indirect material used in production 4,000
Factory supplies used 6,200
Depreciation on the factory 60,000
Depreciation on the sales office 4,000
Depreciation on the administrative office 3,000
Sales salaries 120,000
Sales revenue 3,335,000
Assembly-line labor cost 820,000
Factory security guard cost 12,000
Factory supervision 82,600
Depreciation on production equipment 560,000
Depreciation on sales office equipment 22,200
Additional Information:
The overhead is applied using a budgeted rate that is set every December by forecasting the following year's production (in units) and relating it to forecast direct labor hours. The budget for 2004 called for 50,000 direct labor hours and $750,000 of factory overhead.
Group of answer choices
$ 815,000
$2,420,000
$ 844,000
$ 40,200
$2,411,000
$2,370,800
In: Accounting
The most common abuse of correlation in studies is to confuse the concepts of correlation with those of causation.
Good SAT scores do not cause good college grades, for example. Rather, there are other variables, such as good study habits and motivation, that contribute to both. Find an example of an article that confuses correlation and causation.
Discuss other variables that could contribute to the relationship between the variables.
In: Statistics and Probability