Questions
The relationship between "strength" and "fineness" of cotton fibers was the subject of a study that...

The relationship between "strength" and "fineness" of cotton fibers was the subject of a study that produced the following data. (Give your answers correct to two decimal places.)

x, Strength 76 69 71 76 83 72 78 74 80 82
y, Fineness 4.3 4.7 4.5 4.0 4.1 4.0 5.0 4.9 4.1 4.3

(a) Draw a scatter diagram. (Do this on paper. Your instructor may ask you to turn in this work.)

(b) Find the 95% confidence interval for the mean measurement of fineness for fibers with a strength of 74.

Lower Limit
Upper Limit


(c) Find the 95% prediction interval for an individual measurement of fineness for fibers with a strength of 74.

Lower Limit
Upper Limit

In: Statistics and Probability

The table below gives the average high temperatures in January and July for 12 random cities...

The table below gives the average high temperatures in January and July for 12 random cities in a region with 192 192 cities. Write a 99 99​% confidence interval for the mean temperature difference between summer and winter in the region.

Mean High Temperatures ​( degrees °​F)

City A B C D E F G H I J K L

July 73 71 78 74 91 88 71 87 74 65 74 85

Jan. 35 37 40 37 56 53 39 45 46 43 19 36

The confidence interval is left parenthesis nothing comma nothing right parenthesis . , . ​(Round to one decimal place as​ needed.)

In: Statistics and Probability

y x1 x2 13 20 3 1 15 2 11 23 2 2 10 4 20...

y x1 x2
13 20 3
1 15 2
11 23 2
2 10 4
20 30 1
15 21 4
27 38 0
5 18 2
26 24 5
1 16 2

A manufacturer recorded the number of defective items (y) produced on a given day by each of ten machine operators and also recorded the average output per hour (x1) for each operator and the time in weeks from the last machine service (x2).

a. What is the least-squares prediction equation?

b. Is there evidence to indicate that both independent variables contribute significantly to the prediction of y? Why or why not?

c. Using the original model, how good is it? Give a quantitative answer and then explain your answer in a way that a non-statistician could understand.

d. Use the prediction equation to predict the number of defective items produced for an operator whose average output per hour is 25 and whose machine was serviced three weeks ago.

In: Statistics and Probability

Part 2: Transforming data and computing descriptive statistics Create a quarterly real GDP series by dividing...

Part 2: Transforming data and computing descriptive statistics

Create a quarterly real GDP series by dividing nominal GDP by the GDP deflator. Also, create a money velocity series as PY/M where P is the price level, Y is real GDP, and M is the M3 money supply measure.

a. Plot the velocity of money (produce a graph similar to Figure 8.2 on page 212 of the textbook). Has velocity risen or fallen over the sample period? b. What is the mean and standard deviation of M3 velocity?

picture from textbook: https://media.cheggcdn.com/media%2Fb3d%2Fb3d56712-5053-405f-83e0-88009e1d6240%2FphpGAezM0.png

data to be used:

observation_date MABMM301CAQ189S observation_date CANGDPDEFQISMEI Quarterly v62295562 - Gross domestic product at market prices (x 1,000,000)
1981-01-01 2.04311E+11 1981-01-01 42.69811116 Q1 1981 354,784
1981-04-01 2.07984E+11 1981-04-01 43.66104146 Q2 1981 366,788
1981-07-01 2.16848E+11 1981-07-01 44.62899825 Q3 1981 371,560
1981-10-01 2.18082E+11 1981-10-01 45.29084386 Q4 1981 375,352
1982-01-01 2.17479E+11 1982-01-01 46.60831697 Q1 1982 381,676
1982-04-01 2.19886E+11 1982-04-01 47.57980057 Q2 1982 385,140
1982-07-01 2.2233E+11 1982-07-01 48.37395895 Q3 1982 388,116
1982-10-01 2.24304E+11 1982-10-01 49.3332838 Q4 1982 392,160
1983-01-01 2.2614E+11 1983-01-01 49.71327644 Q1 1983 401,680
1983-04-01 2.24478E+11 1983-04-01 50.26292877 Q2 1983 414,192
1983-07-01 2.25279E+11 1983-07-01 51.27358864 Q3 1983 427,308
1983-10-01 2.27179E+11 1983-10-01 51.61005878 Q4 1983 435,584
1984-01-01 2.283E+11 1984-01-01 51.97043324 Q1 1984 446,148
1984-04-01 2.32617E+11 1984-04-01 52.30782428 Q2 1984 457,828
1984-07-01 2.37141E+11 1984-07-01 52.72343939 Q3 1984 463,424
1984-10-01 2.40677E+11 1984-10-01 53.04197052 Q4 1984 473,572
1985-01-01 2.44981E+11 1985-01-01 53.42486468 Q1 1985 484,236
1985-04-01 2.48915E+11 1985-04-01 54.26513634 Q2 1985 493,432
1985-07-01 2.5245E+11 1985-07-01 54.50504061 Q3 1985 501,888
1985-10-01 2.5701E+11 1985-10-01 54.84025435 Q4 1985 512,744
1986-01-01 2.64237E+11 1986-01-01 55.25634718 Q1 1986 516,520
1986-04-01 2.68411E+11 1986-04-01 55.49059389 Q2 1986 521,696
1986-07-01 2.71948E+11 1986-07-01 56.09128688 Q3 1986 528,016
1986-10-01 2.8153E+11 1986-10-01 56.87836721 Q4 1986 531,568
1987-01-01 2.91177E+11 1987-01-01 57.53317263 Q1 1987 550,140
1987-04-01 2.99965E+11 1987-04-01 58.33295861 Q2 1987 565,020
1987-07-01 3.05585E+11 1987-07-01 58.89916591 Q3 1987 579,244
1987-10-01 3.08066E+11 1987-10-01 59.55513344 Q4 1987 593,300
1988-01-01 3.12459E+11 1988-01-01 60.19836959 Q1 1988 608,480
1988-04-01 3.22487E+11 1988-04-01 60.66882712 Q2 1988 618,684
1988-07-01 3.34801E+11 1988-07-01 61.66399317 Q3 1988 628,884
1988-10-01 3.42958E+11 1988-10-01 62.46758329 Q4 1988 641,556
1989-01-01 3.51835E+11 1989-01-01 62.92301878 Q1 1989 653,604
1989-04-01 3.62677E+11 1989-04-01 63.98918575 Q2 1989 667,232
1989-07-01 3.73418E+11 1989-07-01 64.65157352 Q3 1989 676,572
1989-10-01 3.85482E+11 1989-10-01 64.99380354 Q4 1989 678,696
1990-01-01 3.95554E+11 1990-01-01 65.40531748 Q1 1990 689,404
1990-04-01 4.0366E+11 1990-04-01 66.03354097 Q2 1990 693,132
1990-07-01 4.10993E+11 1990-07-01 66.70745429 Q3 1990 695,180
1990-10-01 4.1872E+11 1990-10-01 67.22290923 Q4 1990 694,272
1991-01-01 4.27352E+11 1991-01-01 67.93588676 Q1 1991 691,484
1991-04-01 4.32806E+11 1991-04-01 68.36517541 Q2 1991 699,036
1991-07-01 4.33277E+11 1991-07-01 68.59406171 Q3 1991 702,272
1991-10-01 4.39453E+11 1991-10-01 68.66059067 Q4 1991 704,220
1992-01-01 4.45823E+11 1992-01-01 68.94091388 Q1 1992 707,560
1992-04-01 4.50337E+11 1992-04-01 69.32202186 Q2 1992 712,328
1992-07-01 4.57429E+11 1992-07-01 69.62116203 Q3 1992 719,252
1992-10-01 4.64677E+11 1992-10-01 69.77651809 Q4 1992 724,936
1993-01-01 4.70009E+11 1993-01-01 69.96565871 Q1 1993 731,528
1993-04-01 4.72942E+11 1993-04-01 70.41575784 Q2 1993 742,932
1993-07-01 4.75799E+11 1993-07-01 70.19167988 Q3 1993 747,640
1993-10-01 4.79652E+11 1993-10-01 70.70364286 Q4 1993 756,332
1994-01-01 4.8357E+11 1994-01-01 70.95633662 Q1 1994 770,204
1994-04-01 4.89883E+11 1994-04-01 70.93029423 Q2 1994 781,204
1994-07-01 5.00109E+11 1994-07-01 71.5711307 Q3 1994 798,332
1994-10-01 5.03525E+11 1994-10-01 71.94169718 Q4 1994 808,288
1995-01-01 5.07562E+11 1995-01-01 72.43909165 Q1 1995 821,384
1995-04-01 5.15417E+11 1995-04-01 72.8401001 Q2 1995 826,212
1995-07-01 5.24551E+11 1995-07-01 73.10778253 Q3 1995 830,332
1995-10-01 5.29711E+11 1995-10-01 73.48182065 Q4 1995 837,964
1996-01-01 5.39297E+11 1996-01-01 73.73975025 Q1 1996 841,428
1996-04-01 5.45922E+11 1996-04-01 73.98403847 Q2 1996 850,092
1996-07-01 5.50767E+11 1996-07-01 74.34930978 Q3 1996 861,784
1996-10-01 5.55781E+11 1996-10-01 74.87572976 Q4 1996 874,788
1997-01-01 5.65662E+11 1997-01-01 75.08368347 Q1 1997 888,792
1997-04-01 5.70634E+11 1997-04-01 74.88081067 Q2 1997 896,372
1997-07-01 5.75825E+11 1997-07-01 75.08607625 Q3 1997 909,568
1997-10-01 5.85016E+11 1997-10-01 75.29788696 Q4 1997 920,876
1998-01-01 5.88563E+11 1998-01-01 75.10463509 Q1 1998 931,392
1998-04-01 5.92121E+11 1998-04-01 75.11357127 Q2 1998 931,908
1998-07-01 5.97459E+11 1998-07-01 74.72571561 Q3 1998 935,696
1998-10-01 6.02599E+11 1998-10-01 74.87131258 Q4 1998 950,184
1999-01-01 6.02129E+11 1999-01-01 75.21325796 Q1 1999 971,824
1999-04-01 6.13187E+11 1999-04-01 76.03927032 Q2 1999 990,748
1999-07-01 6.21062E+11 1999-07-01 76.91249304 Q3 1999 1,017,736
1999-10-01 6.32911E+11 1999-10-01 77.30843557 Q4 1999 1,037,516
2000-01-01 6.48037E+11 2000-01-01 78.22530767 Q1 2000 1,066,576
2000-04-01 6.58564E+11 2000-04-01 79.42312702 Q2 2000 1,095,808
2000-07-01 6.74681E+11 2000-07-01 80.21978873 Q3 2000 1,117,980
2000-10-01 6.83844E+11 2000-10-01 80.87774982 Q4 2000 1,129,156
2001-01-01 6.93689E+11 2001-01-01 81.65841791 Q1 2001 1,145,988
2001-04-01 6.96378E+11 2001-04-01 81.65117527 Q2 2001 1,148,844
2001-07-01 7.0454E+11 2001-07-01 80.70759895 Q3 2001 1,134,708
2001-10-01 7.1682E+11 2001-10-01 80.0583262 Q4 2001 1,132,480
2002-01-01 7.29263E+11 2002-01-01 80.41861287 Q1 2002 1,154,524
2002-04-01 7.34895E+11 2002-04-01 81.83423125 Q2 2002 1,181,544
2002-07-01 7.50367E+11 2002-07-01 82.38631683 Q3 2002 1,199,908
2002-10-01 7.58437E+11 2002-10-01 83.42950962 Q4 2002 1,221,832
2003-01-01 7.61874E+11 2003-01-01 84.59159619 Q1 2003 1,245,676
2003-04-01 7.82063E+11 2003-04-01 83.87561141 Q2 2003 1,233,300
2003-07-01 7.96029E+11 2003-07-01 84.95635352 Q3 2003 1,253,900
2003-10-01 8.07003E+11 2003-10-01 85.3524376 Q4 2003 1,268,384
2004-01-01 8.30867E+11 2004-01-01 86.29841734 Q1 2004 1,291,688
2004-04-01 8.50393E+11 2004-04-01 87.39335372 Q2 2004 1,323,544
2004-07-01 8.63961E+11 2004-07-01 87.89404677 Q3 2004 1,346,952
2004-10-01 8.85819E+11 2004-10-01 88.27669893 Q4 2004 1,362,528
2005-01-01 9.14545E+11 2005-01-01 88.82847112 Q1 2005 1,375,720
2005-04-01 9.38963E+11 2005-04-01 89.42817592 Q2 2005 1,394,868
2005-07-01 9.54247E+11 2005-07-01 90.72483988 Q3 2005 1,432,508
2005-10-01 9.62155E+11 2005-10-01 91.87374486 Q4 2005 1,465,016
2006-01-01 9.81505E+11 2006-01-01 91.54859597 Q1 2006 1,471,532
2006-04-01 9.99682E+11 2006-04-01 92.42400195 Q2 2006 1,486,320
2006-07-01 1.02234E+12 2006-07-01 93.05784619 Q3 2006 1,500,672
2006-10-01 1.04904E+12 2006-10-01 93.3031751 Q4 2006 1,510,304
2007-01-01 1.07602E+12 2007-01-01 94.71213816 Q1 2007 1,543,024
2007-04-01 1.10249E+12 2007-04-01 95.59095835 Q2 2007 1,572,372
2007-07-01 1.14279E+12 2007-07-01 95.53638302 Q3 2007 1,578,004
2007-10-01 1.17806E+12 2007-10-01 96.77660407 Q4 2007 1,600,728
2008-01-01 1.21117E+12 2008-01-01 98.67959821 Q1 2008 1,633,172
2008-04-01 1.25192E+12 2008-04-01 100.7423479 Q2 2008 1,673,096
2008-07-01 1.28028E+12 2008-07-01 100.9439217 Q3 2008 1,690,428
2008-10-01 1.30447E+12 2008-10-01 97.56793201 Q4 2008 1,614,996
2009-01-01 1.29867E+12 2009-01-01 96.02749385 Q1 2009 1,553,180
2009-04-01 1.29828E+12 2009-04-01 96.54850348 Q2 2009 1,544,376
2009-07-01 1.3059E+12 2009-07-01 97.33262931 Q3 2009 1,563,964
2009-10-01 1.31498E+12 2009-10-01 98.90114935 Q4 2009 1,607,940
2010-01-01 1.32874E+12 2010-01-01 99.68889426 Q1 2010 1,640,056
2010-04-01 1.36292E+12 2010-04-01 99.73092225 Q2 2010 1,649,184
2010-07-01 1.39202E+12 2010-07-01 99.76256572 Q3 2010 1,661,488
2010-10-01 1.40577E+12 2010-10-01 100.8028477 Q4 2010 1,697,792
2011-01-01 1.43135E+12 2011-01-01 102.1875932 Q1 2011 1,733,840
2011-04-01 1.45784E+12 2011-04-01 103.2762484 Q2 2011 1,755,640
2011-07-01 1.48928E+12 2011-07-01 103.3687047 Q3 2011 1,781,600
2011-10-01 1.52151E+12 2011-10-01 104.1128451 Q4 2011 1,808,604
2012-01-01 1.55116E+12 2012-01-01 104.2014187 Q1 2012 1,810,720
2012-04-01 1.57589E+12 2012-04-01 104.0827415 Q2 2012 1,814,628
2012-07-01 1.59536E+12 2012-07-01 104.5453546 Q3 2012 1,826,288
2012-10-01 1.61098E+12 2012-10-01 105.1788905 Q4 2012 1,839,596
2013-01-01 1.63607E+12 2013-01-01 105.9475736 Q1 2013 1,872,136
2013-04-01 1.67053E+12 2013-04-01 105.8155098 Q2 2013 1,881,924
2013-07-01 1.69833E+12 2013-07-01 106.3926058 Q3 2013 1,907,692
2013-10-01 1.75066E+12 2013-10-01 106.4727711 Q4 2013 1,928,372
2014-01-01 1.78916E+12 2014-01-01 108.0058207 Q1 2014 1,958,572
2014-04-01 1.81251E+12 2014-04-01 108.0948485 Q2 2014 1,983,684
2014-07-01 1.85501E+12 2014-07-01 108.6916969 Q3 2014 2,009,164
2014-10-01 1.89181E+12 2014-10-01 108.2081793 Q4 2014 2,009,312
2015-01-01 1.92827E+12 2015-01-01 107.1608189 Q1 2015 1,985,880
2015-04-01 1.95461E+12 2015-04-01 107.4289334 Q2 2015 1,987,968
2015-07-01 2.01857E+12 2015-07-01 107.7699516 Q3 2015 2,005,556
2015-10-01 2.05577E+12 2015-10-01 107.3727069 Q4 2015 2,000,240
2016-01-01 2.09906E+12 2016-01-01 107.1804261 Q1 2016 2,008,964
2016-04-01 2.14464E+12 2016-04-01 107.4862374 Q2 2016 2,009,416
2016-07-01 2.19735E+12 2016-07-01 108.2285573 Q3 2016 2,044,564
2016-10-01 2.2347E+12 2016-10-01 109.4481763 Q4 2016 2,079,080
2017-01-01 2.25137E+12 2017-01-01 110.2520312 Q1 2017 2,115,064
2017-04-01 2.30112E+12 2017-04-01 110.1958834 Q2 2017 2,136,712
2017-07-01 2.29036E+12 2017-07-01 110.2431625 Q3 2017

In: Economics

In the answer box, please type AGREE or DISAGREE after the letter of the statement for...

In the answer box, please type AGREE or DISAGREE after the letter of the statement for each of these three statements.

Then also provide a detailed explanation using the language of biology describing what about the statement is scientifically accurate or not accurate.

a. “Minerals contribute some of the dry biomass of the tree.”  

b. “Plants absorb organic substances from the soil, in addition to doing photosynthesis to make their own food.”

c. “Water from the soil does not contribute any mass to the dry biomass of the tree.”

In: Biology

Macroeconomic Conditions and Company Performance: RE: Walmart, Neighborhood Market a) Describe the trends of Net Profit...

Macroeconomic Conditions and Company Performance: RE: Walmart, Neighborhood Market

a) Describe the trends of Net Profit And Total Revenue over the past three years.

b) Analyze the relationship between Net Profit And Total Revenue (performance variables) and Unemployment, Inflation, and Interest Rates (macroeconomic variables) for the past three years. Include Any relating graphs or suggested graphing methods**

c) Assess how the current monetary policy and fiscal policy in the United States may impact Walmanr't Neighborhood Markets financial performance in the short term (six months to one year). Justify your response.

In: Economics

Suppose that you won an exclusive bid to sell Christmas trees from National Park Service (NPS)....

Suppose that you won an exclusive bid to sell Christmas trees from National Park Service (NPS). However, NPS requires that you plant one and a half multiple of any number of trees you cut. For example, if you cut 4 trees, you have to plant 8 trees. If you cut 9, you have to plant 27 trees. The NPS may argue that the number of trees that survive is proportional to the number of tree that you grow. Or, they might just do so to prevent you from cutting all trees. Assume further that the cost of cutting and transporting a tree is $2. The cost of growing a tree is $1.  
Questions:
A.) Write an equation that describes total cost of cutting any number of trees.
B.) Graph total cost function
C.) Derive and graph the average cost equation
D.) Derive and graph the marginal cost equation

Now, assume that as a monopolist, you can sell Christmas trees directly to customers and charge them a higher retail price. Or, on the other hand, you can sell Christmas tree to retail stores and charge them lower wholesale price. It is logical to assume that ordinary customer demand tends to be less elastic than the demand of retail stores. Assume that you estimate the demand of retail stores and customers and find:

P= 3000 – 0.5Q  (Wholesale demand)
P= 2000-2Q   (Retail Demand)

Questions
E) Write the equations that describe total revenue for each market
F.) Graph your total revenue equations
G.) Derive the marginal revenue equations for each market
H.) Graph your answer
E
I.) Find the profit maximizing price and quantity for each market
J.) Write the equation that describe total revenue for the two market combined
K.) Derive the marginal revenue equations for the two markets combined
L.) Graph your answer
M.) Find the profit maximizing price and quantity for both markets combined.
N.) What is better, to combine both market and charge a single price or segregate the two markets and charge different prices? Explain your answer

In: Economics

A and B, both dealers in real estate, find a parcel of land to purchase for...

A and B, both dealers in real estate, find a parcel of land to purchase for $100,000 as an investment. They believe it can be sold in 2 years for $200,000. They either will buy the land as tenants-in-common for $100,000 and jointly contribute it to a partnership or contribute $50,000 each to an equal partnership, which then will buy the land.

(a) How should they structure the transaction?

(b) Assume the AB partnership purchased the land for $100,000 in Year One and it appreciated in value to $200,000 by the beginning of Year Three. At that point, C joins the partnership as an equal partner by contributing $100,000 cash to be used by the partnership to improve the land and sell it. The partners believe they can sell the land for $450,000. What result for tax and book purposes if the partnership sells the improved parcel of land for $450,000 and allocates the gain to reflect the appreciation at the time of C’s entry into the partnership?

(c) What results to the partners under the facts of (b), above, if they elect to use a reverse Internal Revenue Code Section 704(c) allocation under Regulation Section 1.704-1(b)(2)(iv)(f)(5) and they apply the traditional method of allocation.

(d) What result on a sale of land for $450,000 if the capital accounts of the partners are not adjusted when C joins the partnership and the agreement does not include any special allocation to reflect the built-in-gain at the time C became a partner?

In: Accounting

Magi Chen is the managing director of Sun Construction Pty Ltd, a family owned business that...

Magi Chen is the managing director of Sun Construction Pty Ltd, a family owned business that provides construction services. As Magi is interested in purchasing some new constructionequipment’s for her business, she has approached her local bank for finance. The bank has asked that Magi provide an audited financial statement to assist them in considering her loan application. Magi has approached your audit firm for this service and you have been allocated the task of auditing Sun Construction for the year ended 30 June 2019. You have undertaken a preliminary review of the business and determined that a substantive testing approach would be suitable and appropriate. You are currently preparing an audit program for the revenue cycle. The following information has been obtained from your review:

• Magi usually works 120 hours a fortnight. Part of this time is spent travelling between differentclients and is not charged to the clients. The remaining time is charged at $60 per hour, regardless of the task undertaken.

Customers typically pay Magi in cash for the work undertaken, except for a small number ofregular small-business customers. Magi allows these customers to pay on account by bank transfer on a monthly basis.
• Magi supplies each cash customer with a written receipt, prepared manually from a receipt book purchased at the local news-agency. The book contains pre-numbered blank receipts, which are completed in duplicate.

Required:
For each of the assertions of occurrence, completeness and accuracy, identify a procedure(s) you

could use to audit Sun Construction's revenue.

Magi Chen is the managing director of Sun Construction Pty Ltd, a family owned business that provides construction services. As Magi is interested in purchasing some new constructionequipment’s for her business, she has approached her local bank for finance. The bank has asked that Magi provide an audited financial statement to assist them in considering her loan application. Magi has approached your audit firm for this service and you have been allocated the task of auditing Sun Construction for the year ended 30 June 2019. You have undertaken a preliminary review of the business and determined that a substantive testing approach would be suitable and appropriate. You are currently preparing an audit program for the revenue cycle. The following information has been obtained from your review:

• Magi usually works 120 hours a fortnight. Part of this time is spent travelling between differentclients and is not charged to the clients. The remaining time is charged at $60 per hour, regardless of the task undertaken.

Customers typically pay Magi in cash for the work undertaken, except for a small number ofregular small-business customers. Magi allows these customers to pay on account by bank transfer on a monthly basis.
• Magi supplies each cash customer with a written receipt, prepared manually from a receipt book purchased at the local news-agency. The book contains pre-numbered blank receipts, which are completed in duplicate.

Required:
For each of the assertions of occurrence, completeness and accuracy, identify a procedure(s) you

could use to audit Sun Construction's revenue.

Magi Chen is the managing director of Sun Construction Pty Ltd, a family owned business that provides construction services. As Magi is interested in purchasing some new constructionequipment’s for her business, she has approached her local bank for finance. The bank has asked that Magi provide an audited financial statement to assist them in considering her loan application. Magi has approached your audit firm for this service and you have been allocated the task of auditing Sun Construction for the year ended 30 June 2019. You have undertaken a preliminary review of the business and determined that a substantive testing approach would be suitable and appropriate. You are currently preparing an audit program for the revenue cycle. The following information has been obtained from your review:

• Magi usually works 120 hours a fortnight. Part of this time is spent travelling between differentclients and is not charged to the clients. The remaining time is charged at $60 per hour, regardless of the task undertaken.

Customers typically pay Magi in cash for the work undertaken, except for a small number ofregular small-business customers. Magi allows these customers to pay on account by bank transfer on a monthly basis.
• Magi supplies each cash customer with a written receipt, prepared manually from a receipt book purchased at the local news-agency. The book contains pre-numbered blank receipts, which are completed in duplicate.

Required:
For each of the assertions of occurrence, completeness and accuracy, identify a procedure(s) you

could use to audit Sun Construction's revenue.

Magi Chen is the managing director of Sun Construction Pty Ltd, a family owned business that provides construction services. As Magi is interested in purchasing some new constructionequipment’s for her business, she has approached her local bank for finance. The bank has asked that Magi provide an audited financial statement to assist them in considering her loan application. Magi has approached your audit firm for this service and you have been allocated the task of auditing Sun Construction for the year ended 30 June 2019. You have undertaken a preliminary review of the business and determined that a substantive testing approach would be suitable and appropriate. You are currently preparing an audit program for the revenue cycle. The following information has been obtained from your review:

• Magi usually works 120 hours a fortnight. Part of this time is spent travelling between differentclients and is not charged to the clients. The remaining time is charged at $60 per hour, regardless of the task undertaken.

Customers typically pay Magi in cash for the work undertaken, except for a small number ofregular small-business customers. Magi allows these customers to pay on account by bank transfer on a monthly basis.
• Magi supplies each cash customer with a written receipt, prepared manually from a receipt book purchased at the local news-agency. The book contains pre-numbered blank receipts, which are completed in duplicate.

Required:
For each of the assertions of occurrence, completeness and accuracy, identify a procedure(s) you

could use to audit Sun Construction's revenue.

In: Finance

consider the differences between BSN and MSN graduate competencies. Discuss how each graduate can "work to...

consider the differences between BSN and MSN graduate competencies. Discuss how each graduate can "work to the highest level" and contribute fully to healthcare changes that need to occur in the future.

In: Nursing