The data in the accompanying table represent the population of a certain country every 10 years for the years 1900-2000. An ecologist is interested in finding an equation that describes the population of the country over time.
Year, x Population, y
1900 79,212
1910 92,228
1920 104,021
1930 123,202
1940 132,164
1950 151,325
1960 179,323
1970 203,302
1980 226,542
1990 248,709
2000 281,421
(a) Determine the least-squares regression equation, treating year as the explanatory variable. Choose the correct answer below.
A.
ŷ =2,011x−3,755,493
B.
ŷ =1,236,362x−3,755,493
C.
ŷ =−3,755,493x+2,011
D.
ŷ =2,011x−1,521,037
In: Statistics and Probability
Create Gantt Chart and network Diagram
| Task | Precedes | Optimistic | MostLikely | Pessimistic | Norm$ | CrashTime | Crash$ | |
| A | D | 4 | 4 | 4 | 1000 | 3 | 1301 | |
| B | E | 2 | 3 | 28 | 1391 | 4 | 2000 | |
| C | F | 2 | 4 | 12 | 2000 | 4 | 2713 | |
| D | G | 2 | 3 | 22 | 1198 | 5 | 1400 | |
| E | G | 1 | 4 | 7 | 899 | 3 | 1100 | |
| F | H | 7 | 10 | 19 | 2500 | 6 | 3765 | |
| G | H | 1 | 3 | 11 | 792 | 3 | 1450 | |
| H | none | 2 | 2 | 8 | 300 | 1 | 504 | |
In: Operations Management
Office Problem (Use the attached spreadsheets as a guide)
Property: Office One, Anytown, U.S.A.
Acquisition date: December 31, 1999
Purchase Price: 2000 NOI @ 10% CAP RATE
Deal Terms: 65% financed with debt, 9% interest-only, 10-year term
35% equity ownership
Base Year 1999: Rental Income $1,600,000
Escalation Income $ 0
Less: Janitorial & Cleaning $ 330,000
Labor $ 215,250
Utilities $ 60,000
Management Fee $ 80,000
Real Estate Taxes $ 80,000
Assumptions: Vacancy Rate : 9%
Growth Rates: Rental Income 5% Annually
Janitorial & Cleaning 3% Annually
Utilities 3% Annually
Management Fee 3% Annually
In 2001, Labor and Real Estate Taxes escalate by 13.07 and 10%, respectively, and remain at those levels for the remainder of the holding period. Tenant pays the increase over the stated Base Year.
Sell on December 31, 2004
Selling Expenses- 5% of sale price (2005 NOI @ 10% Cap Rate)
Depreciable Basis = 80% of cost (calculate depreciation using straight-line method)
Owner’s Ordinary Tax Rate: 39.6%
Use Post-1997 capital gains & recapture tax rates (20% & 25% respectively)
REQUIRED:
9A) Pro-forma Analysis for both Pre-Tax and After- Tax scenarios
9B) Calculations for:
Adjusted Basis
Capital Gains and Recapture Taxes
Net Sales Proceeds
Break Even Occupancy (2000 & 2004)
Cash-on-Cash Returns (annually)
Gross Rent Multiplier ((2000 & 2004)
Debt Service Coverage (2000 & 2004)
Before and After Tax IRR
Before and After Tax NPV @12%
In: Accounting
February 2: Purchase of Pistachios: 2500 $11 $27,500
Purchase of Almonds: 4000 $6 $24,000
Purchase of Peanuts: 6000 $4 $24,000
February 3: Purchase of Pistachios: 1500 $13 $19,500
Purchase of Almonds: 2000 $7 $14,000
Purchase of Peanuts: 2000 $5 $10,000
February 6: Sold to several clients:
Pistachios: 2000 $21 $42,000
Almonds: 2500 $12 $30,000
Peanuts: 3000 $8 $24,000
February 6: Sold to Fruits Lovers Inc.:
Pistachios: 500 $21 $10,500
Almonds: 1000 $12 $12,000
Peanuts: 1500 $9 $13,500
February 12 Purchase of Pistachios: 1500 $15 $22,500
Purchase of almonds: 2000 $9 $18,000
February 13: Sale of peanuts to Peanuts Lovers Inc.: 3500 $9
$31,50
February 14: Purchase of Peanuts 6000 $5 $30,000
February 19: Sold to several clients:
Pistachios: 1000 $22 $22,000
Almonds: 1500 $14 $21,000
Peanuts: 3000 $10 $30,000
February 25: Purchased from various suppliers:
Pistachios: 1000 $14 $14,000
Almonds: 1000 $10 $10,000
Peanuts: 1000 $5 $5,000
Besides these transactions, the company has had the following
expenses:
Salaries: $3600
Electricity bill: $350
Renting of equipment: $900
Rent of warehouse and office: $1.600
Miscellaneous: $1.300
1: Why in your opinion did Jim’s accountant recommend the average cost method and what difference is there with the three other methods? Explain the main characteristics of each method of valuation of the inventory and the consequences they may have on the valuation of the inventory and determination of the net income in case of price fluctuation. (20 points)
In: Accounting
ABC Ltd has accounts receivable of $70 600 at 30 April, 2019. An analysis of the accounts shows these amounts as follows:
|
Month of sale |
Balance of Accounts Receivable |
|
|
April, 2019 |
$40 000 |
|
|
March, 2019 |
23 000 |
|
|
February, 2019 |
3 200 |
|
|
January, 2019 |
4 100 |
|
|
December and November, 2018 |
300 |
|
|
70 600 |
||
Credit terms are 2/7, n/30. At 30 April, 2019, there is a $2000 credit balance in Allowance for Doubtful Debts before adjustment. The entity uses the ageing of accounts receivable basis for estimating uncollectable accounts. Estimates of bad debts are as follows:
|
Age of accounts |
Estimated percentage uncollectable |
||
|
Current |
2% |
||
|
1-30 days past due |
5% |
||
|
31-90 days past due |
40% |
||
|
over 90 days |
50% |
||
Required:
a) Determine the total estimated uncollectable. (1 mark)
b) Prepare the adjusting entry at 30 April, 2019 to record bad debts expense. (1 mark)
c) In May, 2019, a $2 500 customer balance is determined to be uncollectable. Prepare the journal entry. (1 mark)
d) Repeat c) assuming that the direct write-off method is used in this business. (1 mark)
(Both account names and figures should be correct in order to award marks.
In: Accounting
2. Let’s use the data from the sea ice extent by year. a. Do a t-test to determine if the slope = 0, give null and alternative hypotheses, test statistic, pvalue, decision and interpretation. b. Construct a residual plot vs fitted values. c. Look at a histogram of the residuals. d. Are there any obvious outliers? Find that observation that is the most glaring and find out how many standard deviations it is from the mean. Can this be justified to be removed? e. Are the assumptions for regression met? (Linearity, Constant Standard Deviation and Normality of errors). If not, which one is violated.
data:
Year Extent
1980 9.18
1981 8.86
1982 9.42
1983 9.33
1984 8.56
1985 8.55
1986 9.48
1987 9.05
1988 9.13
1989 8.83
1990 8.48
1991 8.54
1992 9.32
1993 8.79
1994 8.92
1995 7.83
1996 9.16
1997 8.34
1998 8.45
1999 8.6
2000 8.38
2001 8.3
2002 8.16
2003 7.85
2004 7.93
2005 7.35
2006 7.54
2007 6.04
2008 7.35
2009 6.92
2010 6.98
2011 6.46
2012 5.89
2013 7.45
2014 7.23
2015 6.97
2016 6.08
2017 6.77
2018 6.13
2019 5.66
In: Statistics and Probability
Need this in C# and also the Pseudocode.
Program 4: In 1789, Benjamin Franklin is known to have written “Our new Constitution is now established, and has an appearance that promises permanency; but in this world nothing can be said to be certain, except death and taxes.” Our federal tax system is a “graduated” tax system which is broken into seven segments. Essentially, the more you make, the higher your tax rate. For 2018, you can find the tax brackets here. Your task is to design (pseudocode) and implement (source code) a program that asks the user for a salary and calculates the federal tax owed. Note, that only the money above a particular tax bracket gets taxed at the higher rate. For example, if someone makes $10,000 a year, the first $9525 gets taxed at 10%. The “excess” above that ($475) gets taxed at 12%. Note: work through at least three (3) examples of this by hand before designing the code. It will save you significant time.
Sample run 1:
Enter your salary to the nearest dollar: 2000
Total tax owed is: $200
Sample run 2:
Enter your salary to the nearest dollar: 40000
Total tax owed is: $4739
Sample run 3:
Enter your salary to the nearest dollar: 100000
Total tax owed is: $18289
In: Computer Science
A medical researcher wants to compare the pulse rates of smokers and non-smokers. He believes that the pulse rate for smokers and non-smokers is different and wants to test this claim at the 0.02 level of significance. A sample of 56 smokers has a mean pulse rate of 88, and a sample of 39 non-smokers has a mean pulse rate of 86. The population standard deviation of the pulse rates is known to be 8 for smokers and 8 for non-smokers. Let μ1 be the true mean pulse rate for smokers and μ2 be the true mean pulse rate for non-smokers.
Step 1 of 5 : State the null and alternative hypotheses for the test.
In: Statistics and Probability
The conformity of serial production parts is verified using a
non-destructive test.
However, the test is not 100% reliable. Indeed, previous statistics
show that 12% of compliant parts are classified as non-compliant,
and 10% of non-compliant parts are classified as compliant.
We also know that 20% of the production parts are really
non-compliant.
This test is used to verify the compliance of a sample of 41
randomly selected parts in this production
a) Calculate the probability that 7 pieces of the sample are
classified as non-compliant by the test.
b) Given that 7 parts in the sample are classified as nonconforming
by the test, what is the probability that in fact there are exactly
11 nonconforming parts?
In: Statistics and Probability
Overview
In this lab, you will design an Enhanced Entity Relationship (EER) diagram to improve on the database design that you have worked on in the previous weeks.
The new design will include additional improvements such as:
A clear and well-documented explanation of all your modifications and the EER diagram.
can you please give me an example of how to start this or what am i supposed to do!!!
In: Computer Science