Classic Pen Company is a producer of ballpoint pens. The company has an administrative office that is comprised of the executive staff, accounting, purchasing, and the information technology staff. The President leads the executive staff. Accounting consists of a Controller and several accounting clerks, two of whom serve as order processors. Orders are processed by the clerks and sent to manufacturing for scheduling and production. Order processors (2 of them) make $8 per hour and generally work a 40 hour week.
Purchasing is a one-man operation. The purchasing agent makes $45,000 per year. He is responsible for purchasing everything the company buys, which includes raw materials, computers, office supplies, and any other miscellaneous items approved for purchase.
The company also maintains a sales staff and a manufacturing facility, in which they manufacture the pens they market and sell. The sales staff consists of six outside sales representatives, each assigned a specific territory. The salesmen visit customers and take orders, which they transmit to the company at the end of each day. The salesmen are paid a base salary of $35,000 per year plus a 2% commission on orders. They drive company cars and use company-provided computers and phones.
The manufacturing facility employs a scheduler/dispatcher who schedules production and delivery of finished orders to customers. His name is Ted and he makes $10 per hour. He spends approximately 50% of his time dispatching and the rest of the time scheduling and tracking. Once he finalizes the schedule, he coordinates with purchasing to ensure that the right kind and amount of materials are ordered to meet production needs. Ted typically works a 50 hour week. If production increases beyond current levels, Ted will need some additional help to keep up with the volume. If this were to occur, Ted would not work overtime as the additional demand would be
2
met by the new employee. If demand falls, Ted would still work a 40 hour week as it always necessary to have an employee onsite for dispatching/scheduling emergencies. Ted takes two weeks’ vacation per year, which is paid at his straight-time rate.
The manufacturing operation is supervised by Jeffrey Donald, who has been employed by the company for five years and earns a salary of $60,000 per year plus bonus. He reports to the President. Jeffrey supervises all the direct laborers and the mechanics. The mechanics are responsible for maintaining the equipment and performing changeovers when necessary to process different colored pens. This involves preparing and mixing the ink. There are two mechanics. They spend about 40% of their time on changeovers and the rest of equipment maintenance. They make $14 per hour. The second mechanic was hired when production exceeded 50,000 pens, which equates to 5,000 machine hours. At that time, additional equipment was also added to increase capacity to 10,000 machine hours.
The company leases its manufacturing facility for $5,000 per month and pay insurance of $2,000 per month on the building and workman’s compensation insurance of $3,000 per month. Of the $3,000 workman’s compensation cost, $2,000 is related to the laborers and the remaining $1,000 to the mechanics.
The company typically manufactures 90,000 pens per year (50,000 blue and 40,000 black). Material cost per pen averages $.50 per pen and it takes .2 hours of direct labor at $8 per hour and .1 hour of machine time to produce a pen. The company schedules 50 production runs of each color at their current levels of production. The setup time (in hours) for blue pens is 4 hours per run and the setup time for black pens is 1 hour per run. All estimates given above are based on this production volume. The company has a maximum capacity in their current facility of 10,000 machine hours, which equates to production volumes of 100,000 pens.

1. Explain what is meant by a cost driver. Identify an appropriate cost driver for analyzing the various costs of the manufacturing facility. Justify your answer for each.

2. Explain what is meant by relevant range. Based on your chosen activity measure above, identify the current relevant range of activity for the manufacturing facility. Justify your answer. Explain why the consideration of relevant range is significant to the analysis here.

3. Cost Analysis: You may find it useful to organize costs in the table below.
a. Identify and briefly describe each cost associated with the manufacturing facility.
b. Classify each cost associated with the manufacturing facility as fixed, variable, or mixed within the relevant range of activity you identified above. Justify your classifications. Would your classifications change if production activity moved outside the relevant range of activity you identified above? Explain.
c. Classify each cost associated as direct or indirect assuming that the cost object of interest is the manufacturing facility as a whole. Justify your classifications. Would your classifications change if you were to assume that the cost object of interest was an individual pen processed? Explain.

4. Explain what is meant by a unit cost. Calculate the unit cost of a pen (assume no bonuses are paid). Is the unit cost of each pen different or the same? Show all calculations and explain your reasoning.

5/Suppose you are asked to estimate the cost for the manufacturing facility if production increases to 140,000 pens. Could you use the unit cost to estimate the cost? Why or why not?

AM -vs- PM Test Scores: In my PM section of statistics there are 30 students. The scores of Test 1 are given in the table below. The results are ordered lowest to highest to aid in answering the following questions.

(a) The value of P₉₀ is  .

(b) Complete the 5-number summary.

11.)  

An experiment consists of rolling two fair dice and adding the dots on the two sides facing up. Assuming each simple event is as likely as any​ other, find the probability that the sum of the dots is greater than 2.

The probability that the sum of the dots is greater than 2 is

12.)

An experiment consists of rolling two fair dice and adding the dots on the two sides facing up. Find the probability of the sum of the dots indicated.

Getting a sum of 1

The probability of getting a sum equal to 1 is

13.)

An experiment consists of tossing 4 fair​ (not weighted)​ coins, except one of the 4 coins has a head on both sides. Compute the probability of obtaining exactly 1 headhead.

The probability of obtaining exactly 1 headhead is

15.)

An experiment consists of rolling two fair​ (not weighted) dice and adding the dots on the two sides facing up. Each die has the number 1 on two opposite​ faces, the number 2 on two opposite​ faces, and the number 3 on two opposite faces. Compute the probability of obtaining the indicated sum.

Sum of 8

The probability of getting a sum of 8 is nothing

16.)

An experiment consists of dealing 7 cards from a standard​ 52-card deck. What is the probability of being dealt exactly 1 ace​?

The probability of being dealt exactly1 ace is approximately

26. Based on patient records from the past several years, 13% of the patients who visit the emergency room at Mercy Hospital do not have health insurance.

a. What is the probability that exactly one out of the next seven random patients who visit the emergency room at Mercy Hospital will not have health insurance?

Do not round intermediate calculations. Round your answer to four decimal places.

Probability = ???

b. What is the probability that two or more out of the next seven random patients who visit the emergency room at Mercy Hospital will not have health insurance?

Round intermediate probabilities to four decimal places. Do not round any other intermediate calculations. Round your answer to four decimal places.

Probability = ???

c. On average, how many out of every 25 random patients who visit the emergency room at Mercy Hospital will not have health insurance?

Round your answer to two decimal places.

Average number = ??? patients

Based on patient records from the past several years, 12% of the patients who visit the emergency room at Mercy Hospital do not have health insurance.

a. What is the probability that exactly one out of the next seven random patients who visit the emergency room at Mercy Hospital will not have health insurance?

Do not round intermediate calculations. Round your answer to four decimal places.

Probability =

b. What is the probability that two or more out of the next seven random patients who visit the emergency room at Mercy Hospital will not have health insurance?

Round intermediate probabilities to four decimal places. Do not round any other intermediate calculations. Round your answer to four decimal places.

Probability =

c. On average, how many out of every 25 random patients who visit the emergency room at Mercy Hospital will not have health insurance?

Round your answer to two decimal places.

Average number = patients

Word to Digit Programming challenge description:

Given a string representation of a set of numbers, print the digit representation of the numbers.

Input: Your program should read lines from standard input. Each line contains a list of word representations of numbers separated by a semicolon. There are up to 20 numbers in one line. The numbers are "zero" through "nine".

Output: Print the sequence of digits. Test 1 Input zero;two;five;seven;eight;four Expected Test 1 output 025784 Test 2 Input three;seven;eight;nine;two Expected Output 37892

PLEASE USE JAVA:

import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.nio.charset.StandardCharsets;

public class Main {
/**
* Iterate through each line of input.
*/
public static void main(String[] args) throws IOException {
InputStreamReader reader = new InputStreamReader(System.in, StandardCharsets.UTF_8);
BufferedReader in = new BufferedReader(reader);
String line;
while ((line = in.readLine()) != null) {

///CODE GOES HERE

System.out.println(line);
}
}
}

A sample of 50 observations is selected from a normal population. The sample mean is 47, and the population standard deviation is 7. Conduct the following test of hypothesis using the 0.10 significance level:

H₀: μ = 48

H₁: μ ≠ 48

a. Is this a one- or two-tailed test?

(Click to select)  Two-tailed test  One-tailed test

b. What is the decision rule?

Reject H₀ and accept H₁ when z does not lie in the region

from  to.

c. What is the value of the test statistic? (Negative answer should be indicated by a minus sign. Round the final answer to 2 decimal places.)

Value of the test statistic           

d. What is your decision regarding H₀?

(Click to select)  Reject  Fail to reject  H₀

e. What is the p-value? (Round the final answer to 4 decimal places.)

The p-value is             .

Your Division at Nashika Limited, a large networking company, has put together a project proposal to develop a new home networking router. The expected Net Present Value (NPV) of the project is K17.7 million, and the project will require 50 software engineers. Nashika has a total of 190 engineers available and the router project must compete with the following other projects for these engineers: Project NPV (K million) Engineering Headcount Router 17.7 50 Project A 22.7 47 Project B 8.1 44 Project C 14.0 40 Project D 11.5 61 Project E 20.6 58 Project F 12.9 32 How should Nashika prioritize these projects?

Your Division at Nashika Limited, a large networking company, has put together a project proposal to develop a new home networking router. The expected Net Present Value (NPV) of the project is K17.7 million, and the project will require 50 software engineers. Nashika has a total of 190 engineers available and the router project must compete with the the above projects for the engineers:

How Should Nashika prioritize these projects.

II. Show all of your work in each question. In parts (d), (e), and (g) make sure to set up your null and alternative hypotheses and write your conclusions. Also, please round your numbers to 2 decimal points. Write legibly and neatly. III. You can use p-value approach or critical-value approach in writing the conclusions of your hypotheses. A large firm employing tens of thousands of workers has been accused of discriminating against its female managers. The accusation is based on a random sample of 40 managers. The mean annual salary of the 20 female managers is $79,500 while the mean annual salary of the 20 male managers is $103,250. The president of the firm points out that the company has a strict policy of equal pay for equal work and that the difference may be due to other variables. Accordingly, he found and recorded the number of years of education and the number of years of experience for each of the 40 managers in the sample. Also recorded are the salary and gender (1 = female and 0 = male). The data are in attached Excel document. The president wanted to know whether a regression analysis would shed some light on the issue. Use Microsoft Excel to run a regression of annual salary on years of education, years of experience, and gender and round up numbers in your regression results to 2 decimal points. Please use the level of significance of 10 percent (i.e. α = 0.10). On the basis of your Excel results answer following questions. (1 pts.) a. Write down the estimated regression equation.