1) You purchased a machine for $500,000 (installed), and you depreciated it using a 5 year MACRS. This machine generates $200,000 in annual revenue. In year 4, you sold the machine for $250,000. You received a loan for $400,000 on a 5 year loan at 5% (note, you must pay the remaining balance of this loan at the end of year 4 from the proceeds of the sale). In addition, you invested $80,000 in working capital initially. Your company is in a 35% tax bracket. What is your NPV(12%)?

Using the data from question #1, what is your IRR? Express the percentage as a whole number (i.e. 8.3% is entered as 8.3)

Assume that the data from problem #1 was all expressed in constant dollars and that the interest rate of 12% was an inflation free rate. if inflation is 3%, what is your market MARR? Express the percentage as a whole number (i.e. 8.3% is entered as 8.3)

Using the data from problem #1 and the Market MARR from problem 3 regenerate your cash flow analysis using Actual Dollars. In other words, inflate your revenue, salvage value, expenses and Working Capital accordingly. What is your Market NPW(rate from #3)?

National Survey of Family Growth 1982-2010

The National Survey of Family Growth (NSFG) provides nationally representative estimates and trends for infertility, surgical sterilization, and fertility among U.S. women and men aged 15-44. The NSFG survey has been administered since 1973, and its latest round in 2006-2010 consisted of 22,682 interviews. Infertility was defined as a lack of pregnancy in the 12 months prior to the survey despite having had unprotected sexual intercourse in each of those months with the same husband or partner. Women were classified as surgically sterile if they had an unreversed sterilizing operation, for example, a tubal sterilization or hysterectomy. Presumed fertile women were based on the residual category of those who did not meet the definitions for surgically sterile or infertile.

1. Using these data and your knowledge, make a testable hypothesis about some aspect of infertility, fertility, or surgical sterilization using the above mentioned data. Identify and count the cases of infertility depending upon age, education, percent of poverty level in the year 2006-2010. Also compare the groups like surgical sterile, infertile and presume fertile. Clearly defined exposure groups, a specific outcome and a stated direction between the exposure and outcome in the years mentioned.

Social deviants hold our society together through social cohesion and.

by an inherent integration of a functioning society, through which socially acceptable goals play a part.

by having a socially accepted goal and having no socially accepted way to pursue it.

by publicly defining what is not acceptable, the deviant receives a response to their moral offense, which holds societies together.

This is sociology not psychology

Waiting times (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where
customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each
of the two sets of data, then compare the variation.
Bank A (single line): 6.5 6.6 6.7 6.9 7.1 7.3 7.4 7.6 7.7 7.8
Bank B (individual lines): 4.4 5.4 5.7 6.2 6.7 7.7 7.8 8.4 9.4 9.9

The coefficient of variation for the waiting times at Bank A is ____%
(Round to one decimal place as needed.)
The coefficient of variation for the waiting times at the Bank B is _____%.
(Round to one decimal place as needed.)
Is there a difference in variation between the two data sets?
A. The waiting times at Bank B have considerably less variation than the waiting times at Bank A
B. There is no significant difference in the variations.
C. The waiting times at Bank A have considerably less variation than the waiting times at Bank B

The data table contains waiting times of customers at a​ bank, where customers enter a single waiting line that feeds three teller windows. Test the claim that the standard deviation of waiting times is less than 2.3 ​minutes, which is the standard deviation of waiting times at the same bank when separate waiting lines are used at each teller window. Use a significance level of 0.01. Complete parts​ (a) through​ (d) below. customer waiting times (in minutes) 8.1 7.2 6.4 6.6 6.4 7.1 6.7 6.8 8.5 6.1 8.6 6.6 14.9 7.1 6.9 7.3 7.2 6.8 7.7 8.4 8.7 7.8 6.5 11.9 7.3 6.2 6.3 7.8 7.5 6.1 12.4 6.4 6.9 9.9 4.9 7.7 6.1 7.8 6.4 7.4 14.8 7.5 8.9 7.2 7.1 6.1 7.7 6.6 7.8 6.9 6.4 6.2 6.1 7.2 6.8 7.7 6.6 7.3 8.6 7.7

Waiting times​ (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets of​ data, then compare the variation. Bank A​ (single line): 6.6 nbsp 6.6 nbsp 6.7 nbsp 6.8 nbsp 7.0 nbsp 7.3 nbsp 7.5 nbsp 7.7 nbsp 7.7 nbsp 7.8

Bank B​ (individual lines): 4.4 nbsp 5.4 nbsp 5.7 nbsp 6.2 nbsp 6.8 nbsp 7.6 nbsp 7.8 nbsp 8.6 nbsp 9.2 nbsp 9.7

The coefficient of variation for the waiting times at Bank A is

b. find coefficient of variance for vaiting times in Bank B: %

The data table contains waiting times of customers at a​ bank, where customers enter a single waiting line that feeds three teller windows. Test the claim that the standard deviation of waiting times is less than 1.8 ​minutes, which is the standard deviation of waiting times at the same bank when separate waiting lines are used at each teller window. Use a significance level of 0.05. 1. Compute the test statistic. 2.Find the P-value of the test statistic.

Waiting times​ (in minutes) of customers in a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the mean and median for each of the two​ samples, then compare the two sets of results. Single Line 6.5 6.6 6.7 6.8 7.0 7.1 7.5 7.6 7.6 7.6 Individual Lines 4.2 5.4 5.8 6.2 6.5 7.6 7.6 8.6 9.2 9.9 The mean waiting time for customers in a single line is nothing minutes. The median waiting time for customers in a single line is nothing minutes. The mean waiting time for customers in individual lines is nothing minutes. The median waiting time for customers in individual lines is nothing minutes. Determine whether there is a difference between the two data sets that is not apparent from a comparison of the measures of center. If​ so, what is​ it? A. The times for customers in a single line are much more varied than the times for customers in individual lines. B. The times for customers in individual lines are much more varied than the times for customers in a single line. C. There is no difference between the two data sets.

A restaurant's marketing department claims that 45% of customers prefer hamburgers, 41% of the customers prefer chicken sandwiches, and 14% of the customers prefer fish sandwiches. To test this claim, a random group of customers at a fast food chain were asked whether they preferred hamburgers, chicken sandwiches, or fish sandwiches, with the results shown below. Sandwich : Hamburgers Chicken Fish No. of customers: 40 16 8 Based on this sample data, is there evidence to reject the restaurant's claim at a significance level of α = .05?

2.5 A Spar retailer observed a random sample of 161 customers and found that 69 customers paid for their grocery purchases by cash and the remainder by credit card. Question: Construct a 90% confidence interval for the actual percentage of customers who pay cash for their grocery purchases.

5 points

a) The actual percentage of customers who pay cash for their grocery purchases lies between 42.81% and 43.90%.

b) The actual percentage of customers who pay cash for their grocery purchases lies between 36.44% and 49.28%.

c) The actual percentage of customers who pay cash for their grocery purchases lies between 42.12% and 41.80%.

d) The actual percentage of customers who pay cash for their grocery purchases lies between 37.85% and 47.87%.

2.6 A survey amongst a random sample of 250 male and female respondents was conducted into their music listening preferences. Each respondent was asked whether they enjoy listening to jazz. Of the 140 males surveyed, 46 answered ‘Yes’. Of the 110 female respondents, 21 answered ‘Yes’. Is there statistical evidence at the 5% level of significance that males and females equally enjoy listening to jazz? Question: Formulate the Null and Alternative Hypothesis for this problem and tick the correct answer below.

2 points

a) H0: μ1 - μ2 ≠ 0 vs H1: μ1 - μ2 > 0

b) H0: μ1 - μ2 = 0 vs H1: μ1 - μ2 ≠ 0

c) H0: μ1 - μ2 < 0 vs H1: μ1 - μ2 < 0

d) H0: μ1 - μ2 ≤ 0 vs H1: μ1 - μ2 < 0

2.7 Make use of the information provided in the previous question and calculate the z-statistic using Z-test and tick the correct answer below.

5 points

a) z-stat = 1.96

b) z-stat = 2.19

c) z-stat = 2.44

d) z-stat = -2.01

2.8 Based on your empirical evidence in the previous question make a statistical conclusion whether there is statistical evidence at the 5% level of significance that males and females equally enjoy listening to jazz. Tick the correct answer below.

5 points

a) None of these answers is correct.

b) Reject the Null hypothesis. The alternative is probably true that the male and female proportions differ.

c) Fail to reject the Null hypothesis, the Null is probably true that the male and female proportions is the same.

d) Accept the Null hypothesis because the statistic is very close to the z-critical = 1.96.