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 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 | 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 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 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 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). 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 $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 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 the highest level" and contribute fully to healthcare changes that need to occur in the future.
In: Nursing