LIFO Perpetual Inventory
The beginning inventory of merchandise at Dunne Co. and data on purchases and sales for a three-month period ending June 30 are as follows:
| Date | Transaction | Number of Units | Per Unit | Total |
| Apr. 3 | Inventory | 48 | $375 | $18,000 |
| 8 | Purchase | 96 | 450 | 43,200 |
| 11 | Sale | 64 | 1250 | 80,000 |
| 30 | Sale | 40 | 1250 | 50,000 |
| May 8 | Purchase | 80 | 500 | 40,000 |
| 10 | Sale | 48 | 1250 | 60,000 |
| 19 | Sale | 24 | 1250 | 30,000 |
| 28 | Purchase | 80 | 550 | 44,000 |
| Jun 5 | sale | 48 | 1315 | 63,120 |
| 16 | sale | 64 | 1315 | 84,160 |
|
21 |
Purchase | 144 | 600 | 86,400 |
| 28 | Sale | 72 | 1315 | 94,680 |
Record the inventory, purchases, and cost of merchandise sold data in a perpetual inventory record similar to the one illustrated in Exhibit 4, using the last-in, first-out method. Under LIFO, if units are in inventory at two different costs, enter the units with the HIGHER unit cost first in the Cost of Merchandise Sold Unit Cost column and LOWER unit cost first in the Inventory Unit Cost column.
In: Accounting
A con man has 3 coins. One coin has been specially made and has a head on each side. A second coin has been specially made, and on each side it has a tail. Finally, a third coin has a head and a tail on it. All coins are of the same denomination. The con man places the 3 coins in his pocket, selects one, and shows you one side. It is heads. He is willing to bet you even money that it is the two-headed coin. His reasoning is that it can’t be the two-tailed coin since a head is showing; therefore, there is a 50-50 chance of it being the two-headed coin. Would you take the bet?
In: Statistics and Probability
Activity 1: Tape Electrostatics – Home Experiment
You need the following material for this home activity: Transparent Tape, Aluminum Foil, String, Plastic ruler or Hair Comb, Piece of Wool, or fuzzy fabric.
You may have noticed that when you pull a long strip of transparent tape off a roll, it curls up. You will take advantage of this property to investigate the nature of the charge and electric forces.
Place two more strips on top of this base, both sticky sides down. Label one tape T for top and the other B for the bottom. Now very slowly peel off both strips as one unit (to minimize charging).
Question 1. Why might bringing the tape in contact with metal make the tape become less attractive?
Question 2. How do you think the two T strips will interact if you bring one close to the other; will they attract or repulse each other or do nothing? For now, you can determine if the charged strips have similar or unlike charges. But you cannot determine which one is positive and which one is negative.
Prediction and explanation
Observation (was your prediction correct? If not, why?)
Question 3. How do you think the two B strips will interact if you bring one close to the other?
Prediction and explanation
Observation
Question 4. Using the two B strips, observe the force the strips exert on each other as a function of how far apart they are. You should be able to judge how big the force is by how much the hanging strip is deflected. Does that confirm what Coulomb's law says about force and distance? Explain.
Question 5. How do you think a B and a T strip will interact if you bring one close to the other?
Prediction and explanation
Observation
Question 6. Now rub the plastic ruler (or hair comb) vigorously with the wool, fur, or fuzzy fabric. How can you tell if the plastic ruler now has a "B-type" charge or a "T-type" charge? Explain your reasoning, what you observe and what you conclude.
Question 7. Suspend a metal (aluminum foil) ball from a string (insulator). Bring the neutral metal ball close to a T strip (without touching it). What do you observe?
Question 8. Bring the neutral metal ball close to a B strip. What do you observe?
Question 9. How is the interaction of the metal ball with the tab strips different from the interaction of the glass or plastic rods with the tab strips?
To explain the basic observation described in questions 7 and 8, consider the following words and pictures. In a metal conductor, the electrons are relatively free to move while the protons are not. Assume that the metal ball starts out neutral, with positive and negative charge evenly distributed, with a net charge of zero.
Question 10. What will the distribution of charges in the ball look like if you bring the ball close to a positively charged tape? Sketch it on the figure.
Question 11. Would the interaction between the tape and ball result in an attractive force, a repulsive force, or no force at all? Carefully explain.
Question 12. How about if instead, you bring the ball close to a negatively charged tape? Sketch the distribution of charges in the ball on the figure.
Question 13. Would the interaction between the tape and ball result in an attractive force, a repulsive force, or no force at all? Carefully explain.
In: Physics
1) A tank is full of water. Find the work W required to
pump the water out of the spout. (Use 9.8 m/s2 for
g. Use 1000 kg/m3 as the weight density of
water. Assume that a = 4 m, b = 4 m, c =
12 m,and d = 1 m.)
W = ___ J
I got 5017600 then in scientific notation it would be 5.0176 X 10^6, then in Juls in would be 5.02?
I got the answer wrong an would like to know how you do this problem?
2. Suppose that 5 J of work is needed to stretch a spring from its natural length of 32 cm to a length of 44 cm.
(a) How much work is needed to stretch the spring from 40 cm to
42 cm? (Round your answer to two decimal places.)
1.25 J
(b) How far beyond its natural length will a force of 40 N keep the
spring stretched? (Round your answer one decimal place.)
? cm
for B I got 11.52, did I do something wrong?
In: Math
PLEASE TYPE all work, and I'll give you a thumbs up!
Mean of stock price = 1117.64
STDEV (Population) = 67.61
If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed within $50 of the mean for that year (round to two places)? (Hint: this means the probability of being between 50 below and 50 above the mean).
If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than $1050 per share (round to two places)? Would this be considered unusual? Use the definition that an unusual value is more than 2 standard deviations above or below the mean.
At what prices would Google have to close in order for it to be considered statistically unusual or statistically significant outliers? You will have a low and high value. There are several possible definitions for unusual in statistics, but for our project let's use the definition that an unusual value is more than 2 standard deviations above or below the mean.
In: Statistics and Probability
Recall that hexadecimal numbers are constructed using the 16 digits 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F.
(a)
How many strings of hexadecimal digits consist of from one through four digits?
(b)
How many strings of hexadecimal digits consist of from two through five digits?
In: Advanced Math
In: Statistics and Probability
Answer questions step by step. Also, Add the number on a schedule.
|
Allocation of support departments |
S1 |
S2 |
P1 |
P2 |
|
|
S1 |
- |
10% |
40% |
50% |
|
|
S2 |
20% |
- |
50% |
30% |
|
|
Direct costs |
£4,500 |
£8,000 |
£10,000 |
£15,000 |
Required:
|
a. |
Prepare a schedule allocating the support department costs to the producing departments using the direct allocation method. |
|
b. |
Prepare a schedule allocating the support department costs to the producing departments using the sequential allocation method. |
In: Accounting
Two random samples of 40 students were drawn independently from
two populations of students. Assume their aptitude tests are
normally distributed (total points = 100). The following statistics
regarding their scores in an aptitude test were obtained: xbar1=
76, s1 = 8, xbar2 = 72, and s2 = 6.5.
Test at the 5% significance level to determine whether we can infer
that the two population means differ. (Note: You cannot necessarily
assume that the populations have the same variances).
Please Solve manually.
In: Statistics and Probability
Background
An American College conducted a study in the early 2000 to examine if there were any gender pay gaps[1] in its four schools: Business, Health, Liberal Studies and Sciences. Data were collected of a sample of 199 academics on their annual salary, years of service, rank, school, gender and age. The data file: Faculty Salary (Research Report Dataset).xlsx is available on Blackboard. A small portion of the data is shown below:
|
Faculty ID |
Age |
Years of Service |
Rank |
School |
Gender M/F |
Salary ($/year) |
||
|
1 |
49 |
22 |
ASST |
BUSINESS |
F |
106632 |
||
|
2 |
31 |
0 |
ASST |
BUSINESS |
F |
80000 |
||
|
3 |
34 |
2 |
ASST |
BUSINESS |
F |
114666 |
||
|
… |
… |
… |
… |
… |
… |
… |
||
Legend: There are three academic ranks in the dataset: ASST, ASSO and PROF, which stand for Assistant Professor, Associate Professor and Professor respectively.
Task 1 (Boxplots and t-tests)
(a) Construct separate boxplots of salaries for male and female academics, and compare their distributions (central location, spread and skewness).
(b) Test if male academics on average earn more than their female counterparts at 1%.
(1 mark)
(a) Considering assistant professors only, test if male assistant professors on average earn more than female assistant professors at 1%.
(1 mark)
(b) Considering associate professors only, test if male associate professors on average earn more than female associate professors at 1%.
(1 mark)
(c) Considering professors only, test if male professors on average earn more than female professors at 1%.
(1 mark)
| Faculty ID | Age | Years of Service | Rank | School | Gender M/F | Salary ($/year) |
| 1 | 49 | 22 | ASST | BUSINESS | F | 106632 |
| 2 | 31 | 0 | ASST | BUSINESS | F | 80000 |
| 3 | 34 | 2 | ASST | BUSINESS | F | 114666 |
| 4 | 34 | 0 | ASST | BUSINESS | F | 112000 |
| 5 | 41 | 6 | ASSO | BUSINESS | F | 119962 |
| 6 | 28 | 0 | ASST | BUSINESS | F | 110000 |
| 7 | 58 | 23 | ASSO | LIBERAL STUDIES | F | 94376 |
| 8 | 52 | 22 | ASST | LIBERAL STUDIES | F | 83506 |
| 9 | 35 | 6 | ASSO | LIBERAL STUDIES | F | 81124 |
| 10 | 37 | 7 | ASSO | LIBERAL STUDIES | F | 75116 |
| 11 | 42 | 7 | ASSO | LIBERAL STUDIES | F | 83568 |
| 12 | 30 | 3 | ASST | LIBERAL STUDIES | F | 66958 |
| 13 | 57 | 23 | PROF | LIBERAL STUDIES | F | 111758 |
| 14 | 53 | 23 | PROF | LIBERAL STUDIES | F | 110750 |
| 15 | 26 | 0 | ASST | LIBERAL STUDIES | F | 74000 |
| 16 | 59 | 30 | ASST | LIBERAL STUDIES | F | 98926 |
| 17 | 39 | 4 | ASST | LIBERAL STUDIES | F | 66190 |
| 18 | 51 | 19 | ASSO | LIBERAL STUDIES | F | 95138 |
| 19 | 38 | 4 | ASST | LIBERAL STUDIES | F | 66190 |
| 20 | 54 | 21 | ASSO | LIBERAL STUDIES | F | 84870 |
| 21 | 43 | 17 | ASSO | LIBERAL STUDIES | F | 78460 |
| 22 | 35 | 0 | ASST | LIBERAL STUDIES | F | 56700 |
| 23 | 31 | 3 | ASST | LIBERAL STUDIES | F | 63666 |
| 24 | 41 | 6 | ASSO | LIBERAL STUDIES | F | 76908 |
| 25 | 31 | 1 | ASST | LIBERAL STUDIES | F | 62776 |
| 26 | 56 | 21 | PROF | LIBERAL STUDIES | F | 105900 |
| 27 | 43 | 18 | ASSO | LIBERAL STUDIES | F | 90310 |
| 28 | 48 | 20 | ASSO | LIBERAL STUDIES | F | 92424 |
| 29 | 49 | 21 | ASST | HEALTH | F | 95386 |
| 30 | 49 | 17 | ASSO | HEALTH | F | 87098 |
| 31 | 40 | 7 | ASSO | HEALTH | F | 74218 |
| 32 | 32 | 1 | ASST | HEALTH | F | 64800 |
| 33 | 37 | 4 | ASST | HEALTH | F | 71314 |
| 34 | 54 | 24 | PROF | HEALTH | F | 110770 |
| 35 | 32 | 3 | ASST | HEALTH | F | 66924 |
| 36 | 38 | 7 | ASSO | HEALTH | F | 74410 |
| 37 | 34 | 6 | ASST | HEALTH | F | 65700 |
| 38 | 28 | 3 | ASST | HEALTH | F | 70218 |
| 39 | 26 | 1 | ASST | HEALTH | F | 76900 |
| 40 | 35 | 2 | ASST | HEALTH | F | 70210 |
| 41 | 33 | 2 | ASST | HEALTH | F | 71088 |
| 42 | 40 | 8 | ASSO | SCIENCES | F | 78484 |
| 43 | 35 | 1 | ASST | SCIENCES | F | 66906 |
| 44 | 36 | 3 | ASST | SCIENCES | F | 69112 |
| 45 | 32 | 3 | ASST | SCIENCES | F | 71088 |
| 46 | 29 | 2 | ASST | SCIENCES | F | 73180 |
| 47 | 43 | 12 | ASST | SCIENCES | F | 82330 |
| 48 | 37 | 5 | ASST | SCIENCES | F | 70210 |
| 49 | 34 | 7 | ASSO | SCIENCES | F | 81432 |
| 50 | 34 | 8 | ASST | SCIENCES | F | 73332 |
| 51 | 35 | 9 | ASST | SCIENCES | F | 67200 |
| 52 | 41 | 6 | ASST | SCIENCES | F | 67328 |
| 53 | 39 | 11 | ASST | SCIENCES | F | 79646 |
| 54 | 44 | 17 | ASSO | SCIENCES | F | 98104 |
| 55 | 46 | 12 | ASST | SCIENCES | F | 73154 |
| 56 | 42 | 11 | ASST | SCIENCES | F | 68878 |
| 57 | 36 | 1 | ASSO | SCIENCES | F | 81000 |
| 58 | 43 | 18 | ASST | SCIENCES | F | 82190 |
| 59 | 51 | 19 | ASST | SCIENCES | F | 81286 |
| 60 | 51 | 16 | ASSO | SCIENCES | F | 87940 |
| 61 | 54 | 19 | ASST | SCIENCES | F | 85498 |
| 62 | 45 | 10 | ASST | SCIENCES | F | 72406 |
| 63 | 38 | 11 | ASSO | SCIENCES | F | 85848 |
| 64 | 39 | 8 | ASST | SCIENCES | F | 74332 |
| 65 | 50 | 19 | ASST | SCIENCES | F | 83946 |
| 66 | 33 | 2 | ASST | SCIENCES | F | 73180 |
| 67 | 44 | 11 | PROF | BUSINESS | M | 128750 |
| 68 | 37 | 7 | ASSO | BUSINESS | M | 127002 |
| 69 | 37 | 6 | ASSO | BUSINESS | M | 118852 |
| 70 | 45 | 20 | ASSO | BUSINESS | M | 98116 |
| 71 | 34 | 4 | PROF | BUSINESS | M | 189938 |
| 72 | 47 | 21 | ASST | BUSINESS | M | 109524 |
| 73 | 36 | 9 | ASSO | BUSINESS | M | 111032 |
| 74 | 44 | 18 | ASSO | BUSINESS | M | 91864 |
| 75 | 40 | 11 | ASSO | BUSINESS | M | 113742 |
| 76 | 31 | 5 | ASST | BUSINESS | M | 121770 |
| 77 | 29 | 2 | PROF | BUSINESS | M | 167266 |
| 78 | 37 | 2 | ASST | BUSINESS | M | 116000 |
| 79 | 40 | 14 | ASST | BUSINESS | M | 82550 |
| 80 | 44 | 10 | PROF | BUSINESS | M | 127282 |
| 81 | 45 | 17 | ASST | BUSINESS | M | 100212 |
| 82 | 33 | 7 | ASSO | BUSINESS | M | 116100 |
| 83 | 35 | 3 | ASSO | BUSINESS | M | 138842 |
| 84 | 49 | 22 | ASSO | BUSINESS | M | 115500 |
| 85 | 36 | 9 | ASSO | BUSINESS | M | 112988 |
| 86 | 32 | 6 | PROF | BUSINESS | M | 156614 |
| 87 | 33 | 5 | PROF | BUSINESS | M | 147728 |
| 88 | 59 | 24 | ASSO | LIBERAL STUDIES | M | 102856 |
| 89 | 47 | 21 | ASSO | LIBERAL STUDIES | M | 91430 |
| 90 | 59 | 27 | PROF | LIBERAL STUDIES | M | 112144 |
| 91 | 40 | 12 | ASST | LIBERAL STUDIES | M | 75096 |
| 92 | 47 | 14 | PROF | LIBERAL STUDIES | M | 102144 |
| 93 | 27 | 0 | ASSO | LIBERAL STUDIES | M | 78000 |
| 94 | 37 | 8 | ASST | LIBERAL STUDIES | M | 81016 |
| 95 | 41 | 16 | ASST | LIBERAL STUDIES | M | 74374 |
| 96 | 41 | 7 | ASSO | LIBERAL STUDIES | M | 103774 |
| 97 | 57 | 22 | ASST | LIBERAL STUDIES | M | 92682 |
| 98 | 29 | 0 | ASST | LIBERAL STUDIES | M | 65812 |
| 99 | 61 | 30 | PROF | LIBERAL STUDIES | M | 118512 |
| 100 | 59 | 24 | PROF | LIBERAL STUDIES | M | 119286 |
| 101 | 53 | 25 | PROF | LIBERAL STUDIES | M | 138838 |
| 102 | 54 | 19 | ASSO | LIBERAL STUDIES | M | 88126 |
| 103 | 47 | 22 | PROF | LIBERAL STUDIES | M | 112918 |
| 104 | 40 | 8 | ASSO | LIBERAL STUDIES | M | 80000 |
| 105 | 50 | 23 | PROF | LIBERAL STUDIES | M | 112008 |
| 106 | 36 | 7 | ASSO | LIBERAL STUDIES | M | 72828 |
| 107 | 51 | 18 | PROF | LIBERAL STUDIES | M | 94240 |
| 108 | 55 | 25 | ASSO | LIBERAL STUDIES | M | 99262 |
| 109 | 41 | 11 | PROF | LIBERAL STUDIES | M | 91164 |
| 110 | 59 | 24 | PROF | LIBERAL STUDIES | M | 110330 |
| 111 | 57 | 24 | PROF | LIBERAL STUDIES | M | 115032 |
| 112 | 55 | 22 | ASSO | LIBERAL STUDIES | M | 94506 |
| 113 | 27 | 0 | ASST | LIBERAL STUDIES | M | 63000 |
| 114 | 37 | 7 | ASSO | LIBERAL STUDIES | M | 75922 |
| 115 | 53 | 22 | PROF | LIBERAL STUDIES | M | 116014 |
| 116 | 34 | 0 | ASST | LIBERAL STUDIES | M | 63000 |
| 117 | 37 | 12 | ASSO | LIBERAL STUDIES | M | 83714 |
| 118 | 27 | 2 | ASST | LIBERAL STUDIES | M | 64892 |
| 119 | 30 | 0 | ASST | LIBERAL STUDIES | M | 63000 |
| 120 | 58 | 24 | PROF | LIBERAL STUDIES | M | 116878 |
| 121 | 58 | 25 | PROF | LIBERAL STUDIES | M | 140036 |
| 122 | 47 | 20 | ASSO | LIBERAL STUDIES | M | 93688 |
| 123 | 36 | 11 | PROF | LIBERAL STUDIES | M | 130566 |
| 124 | 33 | 8 | ASSO | LIBERAL STUDIES | M | 73170 |
| 125 | 62 | 28 | ASSO | LIBERAL STUDIES | M | 112672 |
| 126 | 35 | 6 | ASSO | LIBERAL STUDIES | M | 71940 |
| 127 | 49 | 21 | PROF | LIBERAL STUDIES | M | 105308 |
| 128 | 49 | 24 | PROF | LIBERAL STUDIES | M | 108416 |
| 129 | 59 | 25 | PROF | LIBERAL STUDIES | M | 112510 |
| 130 | 41 | 16 | PROF | LIBERAL STUDIES | M | 93914 |
| 131 | 39 | 8 | ASSO | LIBERAL STUDIES | M | 80002 |
| 132 | 46 | 16 | ASSO | LIBERAL STUDIES | M | 87362 |
| 133 | 32 | 7 | ASSO | LIBERAL STUDIES | M | 81968 |
| 134 | 53 | 25 | PROF | LIBERAL STUDIES | M | 134086 |
| 135 | 51 | 22 | PROF | LIBERAL STUDIES | M | 131962 |
| 136 | 57 | 25 | PROF | LIBERAL STUDIES | M | 108328 |
| 137 | 50 | 18 | ASST | LIBERAL STUDIES | M | 76948 |
| 138 | 59 | 24 | PROF | LIBERAL STUDIES | M | 116882 |
| 139 | 48 | 22 | ASSO | LIBERAL STUDIES | M | 98082 |
| 140 | 46 | 17 | ASST | LIBERAL STUDIES | M | 79104 |
| 141 | 50 | 23 | ASSO | LIBERAL STUDIES | M | 95618 |
| 142 | 56 | 25 | PROF | LIBERAL STUDIES | M | 114312 |
| 143 | 34 | 1 | ASST | HEALTH | M | 70876 |
| 144 | 48 | 20 | ASSO | HEALTH | M | 94694 |
| 145 | 53 | 20 | PROF | HEALTH | M | 108514 |
| 146 | 33 | 8 | ASSO | HEALTH | M | 95546 |
| 147 | 56 | 23 | PROF | HEALTH | M | 127950 |
| 148 | 30 | 1 | ASST | HEALTH | M | 70876 |
| 149 | 47 | 16 | PROF | HEALTH | M | 109672 |
| 150 | 34 | 7 | ASST | HEALTH | M | 71776 |
| 151 | 55 | 20 | PROF | HEALTH | M | 98176 |
| 152 | 55 | 23 | PROF | HEALTH | M | 131104 |
| 153 | 51 | 22 | ASST | HEALTH | M | 90222 |
| 154 | 51 | 23 | ASSO | HEALTH | M | 112980 |
| 155 | 33 | 2 | PROF | HEALTH | M | 216676 |
| 156 | 54 | 26 | ASST | HEALTH | M | 111170 |
| 157 | 37 | 2 | ASST | HEALTH | M | 73988 |
| 158 | 53 | 21 | ASSO | HEALTH | M | 113858 |
| 159 | 53 | 21 | ASSO | HEALTH | M | 93740 |
| 160 | 46 | 17 | ASSO | HEALTH | M | 92314 |
| 161 | 31 | 2 | ASST | SCIENCES | M | 68998 |
| 162 | 28 | 0 | ASST | SCIENCES | M | 70400 |
| 163 | 58 | 24 | PROF | SCIENCES | M | 107188 |
| 164 | 34 | 8 | ASSO | SCIENCES | M | 80462 |
| 165 | 43 | 8 | ASSO | SCIENCES | M | 74336 |
| 166 | 32 | 6 | ASST | SCIENCES | M | 68016 |
| 167 | 42 | 17 | PROF | SCIENCES | M | 96036 |
| 168 | 30 | 3 | ASST | SCIENCES | M | 76796 |
| 169 | 52 | 18 | PROF | SCIENCES | M | 106422 |
| 170 | 63 | 28 | PROF | SCIENCES | M | 137980 |
| 171 | 37 | 2 | ASST | SCIENCES | M | 70880 |
| 172 | 55 | 25 | PROF | SCIENCES | M | 116100 |
| 173 | 27 | 0 | ASST | SCIENCES | M | 68000 |
| 174 | 59 | 26 | PROF | SCIENCES | M | 126018 |
| 175 | 43 | 9 | ASSO | SCIENCES | M | 82836 |
| 176 | 50 | 21 | PROF | SCIENCES | M | 101558 |
| 177 | 61 | 29 | PROF | SCIENCES | M | 131302 |
| 178 | 55 | 23 | ASSO | SCIENCES | M | 107222 |
| 179 | 67 | 41 | ASSO | SCIENCES | M | 115342 |
| 180 | 34 | 6 | ASSO | SCIENCES | M | 84418 |
| 181 | 50 | 21 | PROF | SCIENCES | M | 93946 |
| 182 | 55 | 23 | PROF | SCIENCES | M | 110138 |
| 183 | 43 | 8 | ASSO | SCIENCES | M | 74478 |
| 184 | 53 | 25 | ASSO | SCIENCES | M | 102814 |
| 185 | 44 | 13 | PROF | SCIENCES | M | 119386 |
| 186 | 33 | 0 | ASST | SCIENCES | M | 69000 |
| 187 | 43 | 12 | ASST | SCIENCES | M | 82266 |
| 188 | 37 | 4 | ASST | SCIENCES | M | 71088 |
| 189 | 43 | 14 | ASST | SCIENCES | M | 78240 |
| 190 | 47 | 14 | ASST | SCIENCES | M | 89808 |
| 191 | 55 | 22 | PROF | SCIENCES | M | 108284 |
| 192 | 40 | 9 | ASST | SCIENCES | M | 100324 |
| 193 | 48 | 22 | ASSO | SCIENCES | M | 125832 |
| 194 | 47 | 14 | PROF | SCIENCES | M | 107322 |
| 195 | 41 | 12 | PROF | SCIENCES | M | 94672 |
| 196 | 49 | 14 | PROF | SCIENCES | M | 89460 |
| 197 | 37 | 11 | ASSO | SCIENCES | M | 84378 |
| 198 | 36 | 10 | ASST | SCIENCES | M | 72406 |
| 199 | 42 | 14 | ASSO | SCIENCES | M | 91458 |
In: Accounting