Application Exercise:
In a bottling company, all female employees with 2 to 4 years of experience have a mean salary of $27300 with a with a variance of $30913600.00. A random sample of 29 male employees also having 2 to 4 years of experience had a mean salary of $28800. The company accountant believes that male employees make more money than female employees. What can be concluded with α = 0.10?

a) What is the appropriate test statistic?
---Select--- na z-test one-sample t-test independent-samples t-test related-samples t-test

b)
Population:
---Select--- the CEO male employees bottling company salary female employees
Sample:
---Select--- the CEO male employees bottling company salary female employees

c) Obtain/compute the appropriate values to make a decision about H₀.
(Hint: Make sure to write down the null and alternative hypotheses to help solve the problem.)
critical value =  ; test statistic =  
Decision:  ---Select--- Reject H0 Fail to reject H0

d) If appropriate, compute the CI. If not appropriate, input "na" for both spaces below.
[  ,  ]

e) Compute the corresponding effect size(s) and indicate magnitude(s).
If not appropriate, input and select "na" below.
d =  ;   ---Select--- na trivial effect small effect medium effect large effect
r² =  ;   ---Select--- na trivial effect small effect medium effect large effect

f) Make an interpretation based on the results.

The salary of male employees is significantly higher than female employees.

The salary of male employees is significantly lower than female employees.     

The salary of male employees did not differ from female employees.

An urn has 2 red, 5 white, and 4 blue balls in an urn and two are drawn one after another without replacement. What is the probability that the two balls are both red given that they are the same color?

**** LOOKING TO SOLVE THE SECOND PART TO THIS 2 PART QUESTION; PROBLEM 4 ONLY PLEASE ****

Automobiles arrive at the drive-through window at a post office at the rate of 4 every 10 minutes. The average service time is 2 minutes. The Poisson distribution is appropriate for the arrival rate and service times are exponentially distributed.
a) What is the average time a car is in the system? 10 minutes
b) What is the average number of cars in the system? 4
c) What is the average time cars spend waiting to receive service? 8 minutes
d) What is the average number of cars in line behind the customer receiving service? 3.2
e) What is the probability that there are no cars at the window? 0.2
f) What percentage of the time is the postal clerk busy? 80%
g) What is the probability that there are exactly two cars in the system? 0.128

Problem-4:
For the post office in the previous problem, a second drive-through window is being considered. A single line would be formed and as a car reached the front of the line it would go to the next available clerk. The clerk at the new window works at the same rate as the current one.
• What is the average time a car is in the system?
• What is the average number of cars in the system?
• What is the average time cars spend waiting to receive service?
• What is the average number of cars in line behind the customer receiving service?
• What is the probability that there are no cars in the system?
• What percentage of the time are the clerks busy?
• What is the probability that there are exactly two cars in the system?

Describe the 4 main ligaments and 2 cartilaginous structures of the knee. Include: The location, function and tissue type of each structure.

A lumber company has just taken delivery on a shipment of 10,000 2 ✕ 4 boards. Suppose that 10% of these boards (1000) are actually too green to be used in first-quality construction. Two boards are selected at random, one after the other. Let A = {the first board is green} and B = {the second board is green}.
(a) Compute P(A), P(B), and P(A ∩ B) (a tree diagram might help). (Round your answer for P(A ∩ B) to five decimal places.)

P(A) =
P(B) =
P(A ∩ B) =

Are A and B independent?
Yes, the two events are independent.No, the two events are not independent.    
(b) With A and B independent and P(A) = P(B) = 0.1, what is P(A ∩ B)?


How much difference is there between this answer and P(A ∩ B) in part (a)?
There is no difference.There is very little difference.    There is a very large difference.
For purposes of calculating P(A ∩ B), can we assume that A and B of part (a) are independent to obtain essentially the correct probability?
YesNo    
(c) Suppose the lot consists of ten boards, of which one are green. Does the assumption of independence now yield approximately the correct answer for P(A ∩ B)?
YesNo    
What is the critical difference between the situation here and that of part (a)?
The critical difference is that the population size in part (a) is small compared to the random sample of two boards.The critical difference is that the percentage of green boards is smaller in part (a).    The critical difference is that the percentage of green boards is larger in part (a).The critical difference is that the population size in part (a) is huge compared to the random sample of two boards.
When do you think that an independence assumption would be valid in obtaining an approximately correct answer to P(A ∩ B)?
This assumption would be valid when the population is much larger than the sample size.This assumption would be valid when the sample size is very large.    This assumption would be valid when there are fewer green boards in the sample.This assumption would be valid when there are more green boards in the sample.

Answer 2 of the following 4 discussion questions below. thanks

1. Discuss the benefits of a public company vs a private company.
2. Explain the process in determining if the company should buy or lease its new building.
3. As an investor, when would convertible preferred stock be an attractive investment?
4. Explain the use of futures contracts in limiting your risk in a sale of equipment to a German buyer

2. A manufacturer of chocolate candies uses machines to package candies as they (4 pts) move along a filling line. The company wants the packages to contain 8.1730 ounces of candy. A sample of 50 packages is randomly selected periodically and the packaging process is stopped if there is evidence to show that the mean amount is different from 8.1730 ounces tested at a 95.00% confidence interval/level. In one particular sample of 50 packages, the MEAN.S is equal to 8.1590 ounces, with a STDEV.S of 0.0510 ounce - should the packaging process be halted? What will be the hypothesis in this study? What will be the area of rejection in this study using t Stat critical value? Create the statement of rejection or not-rejection based upon the t Stat value and the t Stat critical value What will be the conclusion of this study?

Question 2 – Integrated Scenario (Units 4 & 5) Class Engagement

Imagine that you are a newly appointed manager of Vintage Coffee Shop, Windhoek. In spite of good sales, the owner is worried about declining profits. The highly competitive coffee shop market around the city restricts any price increase. Vintage coffee shop is well known for its delicious Pizza and Burger.

Budgeted data for the month of June 2017 is as follows:

? Direct material costs

? Direct labour costs

? Manufacturing overheads

N$ 4 500 N$ 2 500 N$ 3 500

11

Our Theme for the day is: Seeing Is Believing!

? Direct labour hours 160

? Machine hours 200

Your appointment was prompted by the resignation of the former manager whom the owner felt had very little knowledge/understanding of costing which resulted indecline of the coffee shop’s profits over the past two years. The former manager wasforced to resign as she failed to advise the coffee shop owner on the appropriate suitable basis in absorbing overheads.

I would prefer a manager who could advise me on the appropriate overhead allocation suitable basis provided that the recommended suitable basis yields a lower production cost per unit – the coffee shop owner narrates.

During the same month, 200 pizzas and 150 burgers were produced and eighty percent of each product was sold. No other expenses or income were reported during the month of June apart from what has been mentioned above. It is thecompany’s policy to add a mark-up of twenty five percent to production cost per unit in determining the selling price of each product of the two products.

... The End ...

write modules to sort by

2 field then 3 fields then 4 fields Use the data Structure to guide you.

//HW sort by 5 of these fields and ask the user which field to sort by !!!

// Use a custom comparator.

import java.io.BufferedReader;

import java.io.IOException;

import java.io.InputStreamReader;

import java.util.*;

class Emprec {

String name;

String address;

double hours;

double rate;

int dependents;

char gender;

boolean degree;

// This is the classes's constructor !!!!

Emprec(String name, String address, String hours,String dependents) {

try {

this.name = name;

this.address = address;

this.hours = Double.valueOf(hours).doubleValue();

this.dependents = Integer.parseInt(dependents);

} catch (NumberFormatException errmsg) {

System.out.println("Invalid format" + errmsg);

this.name = "";

this.hours = 0.0;

}// catch

}// Emprec constructor !!!!

double calc_fed_tax(double hours, double rate) {

double yearly_income;

yearly_income = hours * rate * 52;

if (yearly_income < 30000.00)

return (hours * rate * .28);

else if (yearly_income < 50000.00)

return (hours * rate * .32);

else

return (hours * rate * .38);

}// calc_fed_tax

double calc_state_tax(double hours, double rate) {

double state_tax;

state_tax = hours * rate * .0561;

return (state_tax);

}// calc_state_tax

public void setName(String name) {

this.name = name;

}

public String getName() {

return name;

}

public String getAddress() {

return address;

}

public double getHours() {

return hours;

}

public int getDependents() {

return dependents;

}

public double getRate(){

return rate;

}

public char getGender(){

return gender;

}

public String toString() {

return ("\n Name: " + name +

"\n Address: " + address +

"\n Hours: " + hours+

"\n Dependents " + dependents);

}// toString

}// Emprec

public class CompDemo3Sorts_Improved {

public static void

A box has 11 parts of which 4 are defective and 7 acceptable. 2 parts are chosen at random without replacement. Find the probability that:

a) both parts are defective.

b) both parts are acceptable.

c) only one part is defective.