|
Customer |
Response |
Distance to Jack |
Distance to Colleen |
|
Janet |
Yes |
1.7 |
1.3 |
|
Adam |
Yes |
1.6 |
1.3 |
|
Tom |
No |
3.8 |
0.9 |
|
Sarah |
Yes |
2.4 |
1.2 |
|
Nancy |
No |
3.7 |
0.9 |
|
Joseph |
No |
2.5 |
1.5 |
What will be the predicted responses of Jack and Colleen using k-NN when k is set to the following values? Justify your answer.
In: Statistics and Probability
Ricky’s Piano Rebuilding Company has been operating for one year. On January 1, at the start of its second year, its income statement accounts had zero balances and its balance sheet account balances were as follows:
| Cash | $ | 7,100 | Accounts Payable | $ | 12,500 | ||
| Accounts Receivable | 29,750 | Deferred Revenue (deposits) | 3,550 | ||||
| Supplies | 2,200 | Notes Payable (long-term) | 42,250 | ||||
| Equipment | 11,200 | Common Stock | 17,000 | ||||
| Land | 9,800 | Retained Earnings | 7,350 | ||||
| Building | 22,600 | ||||||
Following are the January transactions:
Prepare a classified balance sheet for the month ended and at January 31.
In: Accounting
Supply Club, Inc., sells a variety of paper products, office
supplies, and other products used by businesses and individual
consumers. During July 2018 it started a loyalty program through
which qualifying customers can accumulate points and redeem those
points for discounts on future purchases. Redemption of a loyalty
point reduces the price of one dollar of future purchases by 20%
(equal to 20 cents). Customers do not earn additional loyalty
points for purchases on which loyalty points are redeemed. Based on
past experience, Supply Club estimates a 75% probability that any
point issued will be redeemed for the discount. During July 2018,
the company records $132,000 of revenue and awards 220,000 loyalty
points. The aggregate stand-alone selling price of the purchased
products is $132,000. Eighty percent of sales were cash sales, and
the remainder were credit sales.
Required:
1. & 2. Prepare Supply Club’s journal entry to
record July and August sales. During August, customers redeem
loyalty points on $132,000 of merchandise. Seventy-five percent of
those sales were for cash, and the remainder were credit sales.
(Do not round intermediate calculations. If no entry is
required for a particular transaction/event, select "No journal
entry required" in the first account field.)
In: Accounting
Supply Club, Inc., sells a variety of paper products, office
supplies, and other products used by businesses and individual
consumers. During July 2018 it started a loyalty program through
which qualifying customers can accumulate points and redeem those
points for discounts on future purchases. Redemption of a loyalty
point reduces the price of one dollar of future purchases by 20%
(equal to 20 cents). Customers do not earn additional loyalty
points for purchases on which loyalty points are redeemed. Based on
past experience, Supply Club estimates a 80% probability that any
point issued will be redeemed for the discount. During July 2018,
the company records $153,000 of revenue and awards 106,250 loyalty
points. The aggregate stand-alone selling price of the purchased
products is $153,000. Seventy percent of sales were cash sales, and
the remainder were credit sales.
Required:
1. & 2. Prepare Supply Club’s journal entry to
record July and August sales. During August, customers redeem
loyalty points on $68,000 of merchandise. Seventy-five percent of
those sales were for cash, and the remainder were credit sales.
(Do not round intermediate calculations. If no entry is
required for a particular transaction/event, select "No journal
entry required" in the first account field.)
In: Accounting
Supply Club, Inc., sells a variety of paper products, office
supplies, and other products used by businesses and individual
consumers. During July 2018 it started a loyalty program through
which qualifying customers can accumulate points and redeem those
points for discounts on future purchases. Redemption of a loyalty
point reduces the price of one dollar of future purchases by 20%
(equal to 20 cents). Customers do not earn additional loyalty
points for purchases on which loyalty points are redeemed. Based on
past experience, Supply Club estimates a 70% probability that any
point issued will be redeemed for the discount. During July 2018,
the company records $157,500 of revenue and awards 125,000 loyalty
points. The aggregate stand-alone selling price of the purchased
products is $157,500. Seventy percent of sales were cash sales, and
the remainder were credit sales.
Required:
1. & 2. Prepare Supply Club’s journal entry to
record July and August sales. During August, customers redeem
loyalty points on $70,000 of merchandise. Sixty-five percent of
those sales were for cash, and the remainder were credit sales.
(Do not round intermediate calculations. If no entry is
required for a particular transaction/event, select "No journal
entry required" in the first account field.)
In: Accounting
Supply Club, Inc., sells a variety of paper products, office
supplies, and other products used by businesses and individual
consumers. During July 2018 it started a loyalty program through
which qualifying customers can accumulate points and redeem those
points for discounts on future purchases. Redemption of a loyalty
point reduces the price of one dollar of future purchases by 20%
(equal to 20 cents). Customers do not earn additional loyalty
points for purchases on which loyalty points are redeemed. Based on
past experience, Supply Club estimates a 70% probability that any
point issued will be redeemed for the discount. During July 2018,
the company records $220,500 of revenue and awards 175,000 loyalty
points. The aggregate stand-alone selling price of the purchased
products is $220,500. Seventy percent of sales were cash sales, and
the remainder were credit sales.
Required:
1. & 2. Prepare Supply Club’s journal entry to
record July and August sales. During August, customers redeem
loyalty points on $98,000 of merchandise. Seventy-five percent of
those sales were for cash, and the remainder were credit sales.
(Do not round intermediate calculations. If no
entry is required for a particular transaction/event, select "No
journal entry required" in the first account
field.)
In: Accounting
Pole Position, a retailer at Destiny Mall, has a variable cost of $5 per lap driven. It has identified two segments of customers: Hard-Core drivers and Just-For-Fun drivers. For simplicity, throughout this problem, assume there is exactly one customer in each of the two segments. Market research has revealed how each segment values the experience, depending on how many laps are raced:
|
# of Laps |
Hard-Core Total Benefit ($) |
Just-For-Fun Total Benefit ($) |
|
1 |
$15 |
$25 |
|
2 |
$29 |
$37 |
|
3 |
$42 |
$43 |
|
4 |
$54 |
$48 |
|
5 |
$65 |
$50 |
|
6 |
$74 |
$51 |
|
7 |
$81 |
$50 |
|
8 |
$87 |
$40 |
|
9 |
$90 |
$20 |
|
10 |
$89 |
$10 |
5. Suppose Pole Position had to set the price per lap the same regardless of the type of customer.
In: Economics
A cube is painted on the outside, then cut into 27 equally sized pieces in a 3^3 format. Let X = the total number of painted sides when the 27 pieces are put in a bag and two pieces are randomly selected. Find the probability mass function, the expected value, and the variance of X
In: Statistics and Probability
Suppose a geyser has a mean time between eruptions of 74 minutes74 minutes. Let the interval of time between the eruptions be normally distributed with standard deviation 28 minutes28 minutes. What is the probability that a randomly selected time interval between eruptions is longer than 86 minutes? (b) What is the probability that a random sample of 15 time intervals between eruptions has a mean longer than 86 minutes? (c) What is the probability that a random sample of 32 time intervals between eruptions has a mean longer than 86 minutes? What effect does increasing the sample size have on the probability? Provide an explanation for this result. Fill in the blanks below. If the population mean is less than 8686 minutes, then the probability that the sample mean of the time between eruptions is greater than 8686 minutes ▼ decreases increases because the variability in the sample mean ▼ decreases increases as the sample size ▼ decreases. increases. (e) What might you conclude if a random sample of 32 time intervals between eruptions has a mean longer than 86 minutes? Select all that apply. A. The population mean is 74 , and this is just a rare sampling. B. The population mean must be more than 74 , since the probability is so low. C. The population mean may be less than 74. D. The population mean is 74 , and this is an example of a typical sampling result. E. The population mean may be greater than 74. F. The population mean cannot be 74 , since the probability is so low. G. The population mean must be less than 74, since the probability is so low.
In: Statistics and Probability
You first need to compute the demand function associated with the data set and use that demand function to compute the optimal price for the product. You can use 20% of the average price as the cost of the product.
please show excel work
| P | D |
| 1 | 301 |
| 2 | 106 |
| 3 | 58 |
| 4 | 38 |
| 5 | 27 |
| 6 | 20 |
| 7 | 18 |
| 8 | 14 |
| 9 | 13 |
| 10 | 10 |
| 11 | 10 |
| 12 | 7 |
| 13 | 6 |
| 14 | 8 |
| 15 | 7 |
| 16 | 6 |
| 17 | 4 |
| 18 | 3 |
| 19 | 4 |
| 20 | 3 |
| 21 | 2 |
| 22 | 5 |
| 23 | 1 |
| 24 | 3 |
| 25 | 3 |
| 26 | 0 |
| 27 | 1 |
| 28 | 1 |
| 29 | 2 |
| 30 | 2 |
| 31 | 1 |
| 32 | 0 |
| 33 | 2 |
| 34 | 1 |
| 35 | 1 |
| 36 | 3 |
| 37 | 1 |
| 38 | 1 |
| 39 | 1 |
| 40 | 1 |
| 41 | 3 |
| 42 | 0 |
| 43 | 1 |
| 44 | 2 |
| 45 | 2 |
| 46 | 0 |
| 47 | 1 |
| 48 | 3 |
| 49 | 2 |
| 50 | 0 |
| 51 | 2 |
| 52 | 2 |
| 53 | 0 |
| 54 | 1 |
| 55 | 0 |
| 56 | 0 |
| 57 | 0 |
| 58 | 0 |
| 59 | 0 |
| 60 | 0 |
| 61 | 1 |
| 62 | 2 |
| 63 | 0 |
| 64 | 0 |
| 65 | 0 |
| 66 | 0 |
| 67 | 0 |
| 68 | 2 |
| 69 | 0 |
| 70 | 0 |
| 71 | 1 |
| 72 | 1 |
| 73 | 3 |
| 74 | 1 |
| 75 | 0 |
| 76 | 1 |
| 77 | 1 |
| 78 | 2 |
| 79 | 0 |
| 80 | 0 |
| 81 | 1 |
| 82 | 1 |
| 83 | 0 |
| 84 | 2 |
| 85 | 0 |
| 86 | 0 |
| 87 | 2 |
| 88 | 0 |
| 89 | 0 |
| 90 | 0 |
| 91 | 1 |
| 92 | 0 |
| 93 | 2 |
| 94 | 0 |
| 95 | 0 |
| 96 | 0 |
| 97 | 1 |
| 98 | 3 |
| 99 | 0 |
| 100 | 1 |
| 101 | 0 |
| 102 | 1 |
| 103 | 1 |
| 104 | 0 |
| 105 | 0 |
| 106 | 1 |
| 107 | 1 |
| 108 | 0 |
| 109 | 1 |
| 110 | 1 |
| 111 | 0 |
| 112 | 0 |
| 113 | 0 |
| 114 | 0 |
| 115 | 2 |
| 116 | 1 |
| 117 | 1 |
| 118 | 1 |
| 119 | 0 |
| 120 | 1 |
In: Operations Management