1. Suppose the age of the customers at post office has a non-normal distribution with mean 40 and standard deviation 5 years.
i. Select 100 customers at random. What is the distribution of their average age? Describe its shape, it’s mean, and standard error.
ii. What is the chance that the average age for 100 customers from the post office is over 41?
iii. Would you take the same approach to the previous two parts if you had a sample of only 2 customers?
In: Statistics and Probability
The manager of store A is aware that waiting times are much longer if the customer makes an order with a special request. From past experience this occurs 20% of the time. If we monitor the next 10 customers,
(a) What is the probability that half or more of these customers make a special request?
(b) What assumptions do you need to make to find this probability? Out of the next 100 customers,
(c) There is a probability of 90% that the number of customers make a special request equals or exceeds what value?
In: Statistics and Probability
an electronics store sends out a survey to seven new customers
to determine if they are satisfied with their purchase. Assume the
probability a customer will be satisfied is 0.7.
a. What is the mean number of customers that will be satisfied?
b. What is the standard deviation of the number of customers satisfied? 4. What is the probability of exactly five customers being satisfied?
c. What is the probability of at least one customer being satisfied? (Hint: use the compliment of “at least one”. Give the answer to seven places to the right of the decimal point
In: Statistics and Probability
Solve the following question.
|
No of Customers |
15 |
9 |
40 |
20 |
25 |
25 |
15 |
35 |
|
Weekly Sales |
06 |
04 |
16 |
06 |
13 |
09 |
10 |
16 |
In: Statistics and Probability
Delta Sonic is a car wash provider in Western New York. VIP Customers at their Buffalo, NY location sign up for unlimited car washes and a separate line & dedicated car wash services those customers (i.e. a single-server single-queue model). Assume VIP customers arrive every 10 minutes on average and that their inter-arrival time is exponentially distributed. Also, assume that processing (washing) time is the sum of two components:
A constant (i.e. not random) basic washing time that is exactly 4 minutes.
A random extra-service time that is exponentially distributed with mean time of 2 minutes.
In Excel, simulate the arrival times and processing times of VIP customers at this car wash using 2,000 sample customers. Using the results of your simulation, calculate the percentage of VIP customers that were in the process (i.e. waiting+washing) for longer than 12 minutes. Press F9 to rerun your simulation several times and record the results for the percentage of customers who wait longer than 12 minutes. Using the median of these recorded percentages as your estimate of the percentage of customers expected to wait longer than 12 minutes, enter that probability here as a two digit decimal e.g. 0.25, 0.45, 0.99, etc.)
In: Operations Management
Dee F. is considering building a drive-up/drive thru coffee stall at a location she researched as a viable location. The location can accommodate a maximum of 10 cars. Based on her research, customer arrivals follow a Poisson probability distribution, with a mean arrival rate of 25 cars per hour, and that service times follow an exponential probability distribution. Arriving customers will place their orders at an intercom station as soon as they enter the lot where the stall will be located, and then drive to the service window to pay for and receive their orders. Three service alternatives are being considered:
|
Waiting Line Effectiveness Measures |
Option 1: One window, one employee |
Option 2: One window, two employees |
Option 3: Two windows, two employees |
|
Probability that there will be no car in the system. |
|||
|
Average number of cars waiting for service |
|||
|
Average time (in minutes) a car waits for service |
|||
|
Average time for a car to be in the system |
|||
|
Average number of cars in the system |
|||
|
The probability that an arriving car will have to wait for service |
In: Operations Management
Currently, the term structure is as follows: One-year bonds yield 12.00%, two-year bonds yield 13.00%, three-year bonds and greater maturity bonds all yield 14.00%. You are choosing between one-, two-, and three-year maturity bonds all paying annual coupons of 13.00%, once a year. You strongly believe that at year-end the yield curve will be flat at 14.00%.
a. Calculate the one year total rate of return for the three bonds. (Do not round intermediate calculations. Round your answers to 2 decimal places.)
| One Year | Two Years | Three Years | ||||
| One year total rate of return | % | % | % | |||
b. Which bond you would buy?
| One-year bond | |
| Two-year bond | |
| Three-year bond |
In: Finance
Ten randomly selected people took an IQ test A, and next day they took a very similar IQ test B. Their scores are shown in the table below.
| Person | A | B | C | D | E | F | G | H | I | J |
| Test A | 81 | 105 | 91 | 116 | 102 | 74 | 95 | 122 | 99 | 112 |
| Test B | 84 | 105 | 89 | 122 | 103 | 77 | 98 | 122 | 102 | 116 |
1. Consider (Test A - Test B). Use a 0.050.05 significance level to
test the claim that people do better on the second test than they
do on the first. Round calculated answers to three decimal
places.
(a) What test method should be used?
A. Matched Pairs
B. Two Sample z
C. Two Sample t
(b) The null hypothesis is μdiff=0μdiff=0. What is the alternate
hypothesis?
A. μdiff≠0
B. μdiff>0
C. μdiff<0
(c) The test statistic is
(d) The p-value is
(e) Is there sufficient evidence to support the claim that
people do better on the second test?
A. Yes
B. No
2. Construct a 9595% confidence interval for the mean of the
differences. Again, use (Test A - Test B).
____ <μ< ____
In: Statistics and Probability
You are provided with the following information for Kingbird
Inc. for the month ended June 30, 2019. Kingbird uses the periodic
system for inventory.
HELP!!!
Calculate weighted-average cost per unit. (Round answer to 2 decimal places, e.g. 5.25.)
Calculate ending inventory, cost of goods sold, gross profit under each of the following methods. (1) LIFO. (2) FIFO. (3) Average-cost.
Calculate gross profit rate under each of the following methods (1) LIFO (2) FIFO (3) Average-cost
Compare the results for the three cost flow assumptions and answer the following questions:
In this period of rising prices, LIFO gives the ____ cost of goods sold and the ____ gross profit. FIFO gives the ___ cost of goods sold and the ____ gross profit.
|
Date |
Description |
Quantity |
Unit Cost or |
|||||
|---|---|---|---|---|---|---|---|---|
| June | 1 | Beginning inventory | 39 | $39 | ||||
| June | 4 | Purchase | 136 | 43 | ||||
| June | 10 | Sale | 108 | 69 | ||||
| June | 11 | Sale return | 13 | 69 | ||||
| June | 18 | Purchase | 55 | 45 | ||||
| June | 18 | Purchase return | 8 | 45 | ||||
| June | 25 | Sale | 67 | 74 | ||||
| June | 28 | Purchase | 28 | 49 | ||||
In: Accounting
A consumer finds only three products, X, Y, and Z, are for sale.
The amount of utility which their consumption will yield is shown
in the table below.
Assume that the prices of X, Y, and Z are $10, $2, and $8,
respectively.
The consumer has an income of $74 to spend.
|
Product X |
Product Y |
Product Z |
||||||||
|
Quantity |
Utility |
Marginal Utility per $ |
Quantity |
Utility |
Marginal Utility per $ |
Quantity |
Utility |
Marginal Utility per $ |
||
|
1 |
42 |
_____ |
1 |
14 |
_____ |
1 |
32 |
_____ |
||
|
2 |
82 |
_____ |
2 |
26 |
_____ |
2 |
60 |
_____ |
||
|
3 |
118 |
_____ |
3 |
36 |
_____ |
3 |
84 |
_____ |
||
|
4 |
148 |
_____ |
4 |
44 |
_____ |
4 |
100 |
_____ |
||
|
5 |
170 |
_____ |
5 |
50 |
_____ |
5 |
110 |
_____ |
||
|
6 |
182 |
_____ |
6 |
54 |
_____ |
6 |
116 |
_____ |
||
|
7 |
182 |
_____ |
7 |
56.4 |
_____ |
7 |
120 |
_____ |
||
(a) Complete the table by computing the marginal utility per dollar for successive units of X, Y, and Z to one or two decimal places.
(b) How
many units of X, Y, and Z will the consumer buy when maximizing
utility and spending all income?
(c) Why would the consumer not be maximizing utility by purchasing 2 units of X, 4 units of Y, and 1 unit of Z?
In: Economics