QUESTION 31
|
a. |
one daughter duplex will be entirely new and the other will have both original parental strands |
|
|
b. |
each strand of the daughter duplexes will have parts of the parental strand and parts of the new strand |
|
|
c. |
each daughter duplex will have one of the original parental strands and one new strand |
|
|
d. |
both daughter duplexes will be entirely new and the parental duplex will be degraded |
QUESTION 32
|
a. |
DNA Polymerase runs out of template |
|
|
b. |
DNA Polymerase adds a Poly-A Tail to the new daughter strand |
|
|
c. |
DNA Polymerase reads a stop codon |
|
|
d. |
DNA Polymerase reaches an end site |
|
|
e. |
DNA Polymerase synthesizes a terminator sequence |
QUESTION 33
|
a. |
Mitochondria |
|
|
b. |
Cytoplasm |
|
|
c. |
Nucleus |
|
|
d. |
Golgi Apparatus |
|
|
e. |
Peroxisome |
QUESTION 34
|
a. |
starter sequence |
|
|
b. |
start codon |
|
|
c. |
initiation site |
|
|
d. |
primer |
|
|
e. |
promoter |
QUESTION 35
True
False
QUESTION 36
|
a. |
DNA Polymerase |
|
|
b. |
Helicase |
|
|
c. |
Primase |
|
|
d. |
Telomerase |
|
|
e. |
DNA Ligase |
QUESTION 37
|
a. |
Promoter |
|
|
b. |
5'-cap |
|
|
c. |
Poly-A Tail |
|
|
d. |
Primer |
|
|
e. |
Start Codon |
QUESTION 38
|
a. |
addition of a 5'-cap and Poly-A tail |
|
|
b. |
addition of a 5'-cap, addition of a Poly-A tail, and removal of introns |
|
|
c. |
addition of introns |
|
|
d. |
removal of introns and splicing together of exons |
|
|
e. |
removal of introns |
QUESTION 39
|
a. |
promoters direct the RNA Polymerase to the template |
|
|
b. |
the promoter dictates which of the two DNA strands will serve as the template |
|
|
c. |
promoters are used to terminate transcription |
|
|
d. |
the promoter positions the RNA Polymerase over the +1 start site |
QUESTION 40
|
a. |
5'-cap |
|
|
b. |
Origin of Replication |
|
|
c. |
+1 Start Site |
|
|
d. |
Primer |
|
|
e. |
Start Codon |
In: Biology
1. A sample of 10 employees in the graphics department of Design, Inc. is selected. The employees’ ages are given as follows: 34 35 39 24 62 40 18 35 28 35 Compute the interquartile range of ages. a. 1 b. 11 c. 42 d. 44 e. None of these responses
2. The average grades of a sample of 8 statistics students and the number of absences they had during the semester are given as follows: Student # Absences Average Grade 1 1 94 2 2 78 3 2 70 4 1 88 5 3 68 6 4 40 7 8 30 8 3 60 Compute the sample covariance.
a. -0.915 b. 2.268 c. 22.168 d. -46 e. None of these responses
In: Statistics and Probability
A travel agent (TA) in Athens named “Thomas o Mageiras” has
contracts with 135
hotels from all categories (stars) in the three major Greek summer
destinations,
namely Crete, Ionian Islands and South Aegean Islands. In order to
better support its
clients the TA yearly collects and updates data regarding the
performance of these
hotels.
The dataset in the table that follows, provides various measures
of
all 135 hotels, summarized in the following variables:
Variables Description
STARS Hotel class category
Total_Rooms Total number of rooms per hotel
Region_ID
1= Crete
2=Southern Aegean Islands
3=Ionian Islands
ARR_MAY Average Room Rate in May (in €)
ARR_AUG Average Room Rate in August (in €)
L_COST Labor cost per hotel (in €)
Note: The empty cells in the given Excel spreadsheet indicate
missing values.
Question 1:
1.1 Construct the frequency distribution, the percentage
distribution and the frequency
histogram of the variables ARR_MAY and ARR_AUG for ALL 135 hotels.
Use
the same class width = 25 for both frequency distributions. Comment
on the
characteristics of the distributions.
1.2 Construct separately, the frequency distributions and the
percentage distributions
of the variable ARR_AUG for each of the three destinations. Use the
same class
width = 35 for each of the three frequency distributions.
1.3 Construct separately, the frequency distributions and the
percentage distributions
of the variable ARR_MAY for hotels with a) Number of rooms ≤ 50
considered
as small size hotels b) Number of rooms > 50 considered as large
size hotels. Use
the same class width = 25 for both frequency distributions.
1.4 Plot three histograms of the frequency distributions of the
variable ARR_AUG,
one for each of the three destinations, and comment on the main
characteristics of
the three distributions.
1.5 Plot two histograms of frequency distributions of the variable
ARR_MAY, one
for the small and one for the large size hotels, and comment on the
main
characteristics of the two distributions.
1.6 What conclusions can you reach concerning the differences in
distribution a) of
ARR_AUG among the three destinations and b) of ARR_MAY between
the
small and the large size hotels?
| STARS | Total_Rooms | Region_ID | ARR_MAY | ARR_AUG | L_COST |
| 1 | 44 | 2 | 16 | 35 | |
| 1 | 18 | 2 | 16 | 20 | |
| 1 | 21 | 3 | 16 | 40 | 30.000 |
| 1 | 21 | 3 | 16 | 40 | 20.000 |
| 1 | 31 | 2 | 18 | 35 | 10.450 |
| 2 | 32 | 3 | 19 | 45 | 6.500 |
| 1 | 46 | 3 | 19 | 23 | 43.549 |
| 4 | 38 | 1 | 22 | 51 | 59.200 |
| 2 | 73 | 2 | 22 | 41 | 70.000 |
| 4 | 65 | 1 | 25 | 63 | 83.000 |
| 3 | 122 | 2 | 25 | 33 | 568.536 |
| 1 | 16 | 2 | 25 | 70 | 379.498 |
| 1 | 13 | 3 | 25 | 45 | 15.000 |
| 1 | 16 | 3 | 25 | 31 | 27.084 |
| 2 | 29 | 1 | 26 | 44 | 30.000 |
| 2 | 42 | 2 | 28 | 40 | |
| 2 | 17 | 1 | 29 | 53 | 6.121 |
| 1 | 23 | 1 | 30 | 35 | 50.237 |
| 2 | 30 | 2 | 30 | 55 | 40.000 |
| 2 | 15 | 2 | 30 | 45 | 4.296 |
| 1 | 11 | 2 | 30 | 50 | |
| 1 | 22 | 2 | 30 | 35 | 1.520 |
| 3 | 39 | 3 | 30 | 68 | 50.000 |
| 3 | 32 | 3 | 30 | 100 | 40.000 |
| 2 | 49 | 3 | 30 | 73 | 41.000 |
| 1 | 13 | 3 | 30 | 50 | 9.500 |
| 1 | 21 | 3 | 30 | 40 | 10.000 |
| 1 | 8 | 1 | 31 | 49 | 7.888 |
| 2 | 25 | 3 | 32 | 55 | 61.766 |
| 1 | 57 | 1 | 35 | 90 | 11.720 |
| 1 | 20 | 1 | 35 | 45 | |
| 1 | 18 | 1 | 35 | 40 | 112.181 |
| 2 | 26 | 1 | 35 | 40 | 3.575 |
| 2 | 37 | 2 | 35 | 95 | 270.000 |
| 2 | 14 | 3 | 35 | 70 | 5.500 |
| 3 | 98 | 2 | 38 | 75 | 150.000 |
| 3 | 44 | 2 | 38 | 84 | 75.704 |
| 3 | 75 | 1 | 40 | 60 | 37.735 |
| 3 | 32 | 1 | 40 | 60 | 3.500 |
| 2 | 23 | 1 | 40 | 50 | 6.500 |
| 1 | 11 | 1 | 40 | 55 | |
| 1 | 15 | 1 | 40 | 55 | 3.500 |
| 3 | 23 | 1 | 40 | 55 | |
| 3 | 10 | 2 | 40 | 70 | 10.000 |
| 1 | 22 | 2 | 40 | 100 | 20.000 |
| 1 | 12 | 2 | 40 | 65 | |
| 4 | 112 | 3 | 40 | 56 | 363.825 |
| 3 | 72 | 3 | 40 | 75 | 177.833 |
| 1 | 21 | 1 | 42 | 54 | 5.700 |
| 5 | 378 | 3 | 44 | 128 | 2.429.367 |
| 2 | 68 | 1 | 45 | 55 | 199.000 |
| 3 | 75 | 2 | 45 | 70 | 220.000 |
| 3 | 62 | 2 | 45 | 90 | 50.302 |
| 3 | 25 | 2 | 45 | 95 | 118.049 |
| 2 | 15 | 1 | 47 | 50 | 19.670 |
| 4 | 221 | 2 | 47 | 102 | 623.117 |
| 3 | 27 | 1 | 48 | 55 | 20.906 |
| 4 | 117 | 2 | 48 | 91 | 360.000 |
| 3 | 62 | 3 | 50 | 90 | 252.390 |
| 3 | 30 | 3 | 50 | 80 | 45.000 |
| 2 | 41 | 3 | 50 | 90 | 166.903 |
| 2 | 14 | 3 | 50 | 80 | 4.000 |
| 3 | 66 | 1 | 51 | 65 | 230.000 |
| 2 | 48 | 1 | 52 | 60 | 284.569 |
| 2 | 39 | 1 | 53 | 104 | 107.447 |
| 3 | 102 | 3 | 53 | 91 | 173.481 |
| 4 | 62 | 2 | 55 | 75 | 249.205 |
| 2 | 21 | 2 | 55 | 100 | 12.000 |
| 2 | 53 | 3 | 55 | 80 | 48.200 |
| 4 | 10 | 1 | 57 | 97 | 30.000 |
| 4 | 70 | 1 | 59 | 128 | 437.684 |
| 1 | 25 | 1 | 59 | 128 | 156.316 |
| 3 | 69 | 1 | 60 | 70 | 256.658 |
| 3 | 47 | 1 | 60 | 120 | 255.020 |
| 3 | 170 | 2 | 60 | 104 | 538.848 |
| 2 | 18 | 2 | 60 | 100 | 10.000 |
| 5 | 270 | 3 | 60 | 90 | 1.934.820 |
| 5 | 240 | 2 | 61 | 132 | 1.312.601 |
| 4 | 241 | 1 | 64 | 109 | 793.009 |
| 4 | 121 | 1 | 64 | 132 | 494.566 |
| 3 | 54 | 1 | 65 | 90 | 200.000 |
| 4 | 172 | 1 | 68 | 148 | 1.383.854 |
| 5 | 57 | 2 | 68 | 140 | 300.000 |
| 4 | 227 | 3 | 69 | 123 | 1.538.000 |
| 4 | 322 | 1 | 70 | 159 | 1.608.013 |
| 4 | 27 | 1 | 70 | 100 | 130.000 |
| 2 | 10 | 2 | 70 | 100 | 12.500 |
| 4 | 56 | 3 | 70 | 100 | 96.000 |
| 3 | 78 | 3 | 70 | 120 | 377.182 |
| 2 | 24 | 3 | 70 | 120 | 116.056 |
| 2 | 20 | 3 | 70 | 120 | 96.713 |
| 5 | 133 | 1 | 71 | 136 | 801.469 |
| 4 | 96 | 3 | 73 | 134 | 210.000 |
| 3 | 93 | 1 | 76 | 130 | 626.000 |
| 4 | 200 | 2 | 77 | 178 | 796.026 |
| 2 | 35 | 1 | 80 | 110 | 64.702 |
| 1 | 25 | 2 | 80 | 120 | 36.277 |
| 1 | 25 | 2 | 80 | 120 | 36.277 |
| 3 | 16 | 2 | 80 | 100 | 14.300 |
| 4 | 216 | 3 | 80 | 124 | 1.339.903 |
| 3 | 74 | 3 | 80 | 95 | 111.000 |
| 5 | 265 | 1 | 81 | 174 | 1.393.550 |
| 5 | 280 | 3 | 81 | 138 | 903.000 |
| 5 | 127 | 1 | 85 | 114 | 1.072.000 |
| 3 | 33 | 3 | 85 | 120 | 238.000 |
| 4 | 353 | 2 | 87 | 152 | 1.511.457 |
| 5 | 172 | 1 | 90 | 195 | 1.151.600 |
| 4 | 10 | 1 | 90 | 105 | 15.950 |
| 5 | 219 | 3 | 93 | 162 | 1.675.995 |
| 5 | 313 | 1 | 94 | 173 | 2.214.985 |
| 3 | 18 | 1 | 94 | 104 | 722.069 |
| 4 | 97 | 3 | 94 | 120 | 441.737 |
| 2 | 43 | 3 | 94 | 120 | 195.821 |
| 5 | 412 | 1 | 95 | 160 | 2.165.000 |
| 4 | 276 | 2 | 95 | 160 | 2.050.000 |
| 3 | 11 | 3 | 95 | 120 | 3.000 |
| 5 | 166 | 3 | 98 | 183 | 900.000 |
| 3 | 33 | 2 | 99 | 218 | 271.724 |
| 5 | 139 | 2 | 100 | 130 | 495.000 |
| 5 | 50 | 2 | 100 | 180 | 517.729 |
| 2 | 25 | 2 | 100 | 150 | 60.000 |
| 5 | 181 | 3 | 100 | 187 | 1.143.850 |
| 5 | 119 | 3 | 100 | 150 | 600.000 |
| 4 | 9 | 3 | 100 | 180 | |
| 5 | 174 | 3 | 102 | 211 | 2.500.000 |
| 5 | 124 | 3 | 103 | 160 | 1.103.939 |
| 5 | 330 | 2 | 112 | 240 | 434.237 |
| 4 | 324 | 2 | 112 | 211 | 1.800.000 |
| 4 | 161 | 3 | 112 | 213 | 1.370.968 |
| 5 | 306 | 2 | 113 | 235 | 2.074.000 |
| 5 | 261 | 3 | 119 | 211 | 3.000.000 |
| 5 | 204 | 1 | 131 | 225 | 2.460.634 |
| 4 | 34 | 2 | 133 | 218 | 96.619 |
| 4 | 27 | 2 | 180 | 250 | 51.000 |
| 4 | 12 | 2 | 215 | 265 | 45.000 |
In: Statistics and Probability
Jamal and Demetrius are both 25 and plan to invest $5000 each year for the next 40 years for retirement. Jamal plans to invest in the Vanguard Total U.S. Stock Market Fund which he thinks has a "gross" expected annualized return of 8.00%. However, its "net" expense ratio is 7.95% as Vanguard charges a 0.05% expense ratio. Demetrius, by contrast, has chosen an actively-managed fund which also has a "gross" expected annualized return of 8.00%. However, the XYZ Corporation that runs the fund charges a typical 0.75% annual expense ratio so the "net" expected return is 7.25%. How much more is Jamal "expected" to have after 40 years of investing than Demetrius?
In: Finance
USING SQL
Create a table named Zones with the attributes and assumptions indicated below.
Attributes: the zone ID, the lowest and the highest accepted temperature.
Assumptions: the ID will be the primary key and have one or two digits, the temperatures (in Fahrenheit) will be at most two digits and a possible minus sign, none of the temperatures can be NULL.
Populate table Zones so that it has the following rows:
| id | lowerTemp | higherTemp |
| 2 | -50 | -40 |
| 3 | -40 | -30 |
| 4 | -30 | -20 |
| 5 | -20 | -10 |
| 6 | -10 | 0 |
| 7 | 0 | 10 |
| 8 | 10 | 20 |
| 9 | 20 | 30 |
| 10 | 30 | 40 |
3. Deliveries
The same flower vendor wants to use a code to explain the type of delivery for each flower. Create a table named Deliveries with the attributes and assumptions indicated below.
Attributes: the delivery ID, the category or type of delivery, and the size of the delivery.
Assumptions: the ID will be the primary key and have one one digit, the category will be at most five characters (pot, plant, hedge, shrub, tree), and the delivery size will be up to five digits with three decimal spaces (possibly NULL).
Populate table Deliveries so that it has the following rows:
| id | categ | delSize |
| 1 | pot | 1.500 |
| 2 | pot | 2.250 |
| 3 | pot | 2.625 |
| 4 | pot | 4.250 |
| 5 | plant | NULL |
| 6 | bulb | NULL |
| 7 | hedge | 18.000 |
| 8 | shrub | 24.000 |
| 9 | tree | 36.000 |
3. FlowersInfo
Create a table named FlowersInfo with the attributes and assumptions indicated below. Choose the most appropriate data types.
Attributes: an ID with three characters, common name, Latin name, the coolest and hottest zones where it can be grown, the delivery category, and the sun needs.
Assumptions: The ID will be the primary key, the attribute
common name may have up to thirty characters, and the Latin name up
to thirty-five characters. The attributes coolest zone, hottest
zone, and delivery category will match the IDs from other tables,
and the sun needs will be up to five characters, S for Sun, SH for
Shade, P for Partial sun and any combination (StoP, StoSH, etc.).
Your table definition should implement referential integrity
whenever possible.
Populate table FlowersInfo so that it has the following rows:
| id | conName | latName | cZone | hZone | deliver | sunNeeds |
| 101 | Lady Fern | Atbyrium filix-femina | 2 | 9 | 5 | SH |
| 102 | Pink Caladiums | C.x bortulanum | 10 | 10 | 6 | PtoSH |
| 103 | Lily-of-the-Valley | Convallaria majalis | 2 | 8 | 5 | PtoSH |
| 105 | Purple Liatris | Liatris spicata | 3 | 9 | 6 | StoP |
| 106 | Black Eyed Susan | Rudbeckia fulgida var. specios | 4 | 10 | 2 | StoP |
| 107 | Nikko Blue Hydrangea | Hydrangea macrophylla | 5 | 9 | 4 | StoSH |
| 108 | Variegated Weigela | W. florida Variegata | 4 | 9 | 8 | StoP |
| 110 | Lombardy Poplar | Populus nigra Italica | 3 | 9 | 9 | S |
| 111 | Purple Leaf Plum Hedge | Prunus x cistena | 2 | 8 | 7 | S |
| 114 | Thorndale Ivy | Hedera belix Thorndale | 3 | 9 | 1 | StoSH |
4. Queries
Write SQL statements to answer the following queries. Write a comment header right before each SQL statement with the letter of the query answered by the statement.
a) the total number of zones.
b) the number of flowers per cool zone.
c) common names of the plants that have delivery sizes less than 5.
d) common names of the plants that require full sun (i.e., sun needs contains ‘S’).
e) all delivery category names order alphabetically (without repetition).
f) the exact output (note that it is order by Name):
In: Computer Science
Below is a list of jobs that must be accomplished to complete the new project. Assume the company wants to complete the project as early as possible, a) what is the added project cost?
You need not to show the network diagram.
|
Activity |
Immediate Predecessor |
Normal Time (Days) |
Crash Time (Days) |
Normal Cost |
Crash Cost |
|
A |
None |
8 |
7 |
$45 |
$50 |
|
B |
A |
3 |
1 |
$60 |
$65 |
|
C |
A |
11 |
9 |
$110 |
$150 |
|
D |
A |
6 |
5 |
$50 |
$90 |
|
E |
B |
9 |
6 |
$90 |
$120 |
|
F |
E |
2 |
1 |
$20 |
$40 |
|
G |
C, D |
5 |
4 |
$80 |
$100 |
|
H |
D |
7 |
6 |
$70 |
$100 |
|
I |
E, G |
4 |
4 |
$40 |
$40 |
|
J |
H |
8 |
7 |
$110 |
$120 |
|
K |
F, I, J |
15 |
13 |
$150 |
$250 |
b) What is project management?
______________________________________________________________________________________________________________________________________________________
In: Operations Management
import sys
var = 1
print(var)
def function1(myVar):
print(myVar)
var = myVar + 1
print(var)
function2(var)
def function2(myVar):
print(myVar)
var = myVar + 1
print(var)
function3(var)
def function3(myVar):
print(myVar)
var = myVar + 1
print(var)
def main(argv):
var = 10
print(var)
function1(var)
if __name__=="__main__":
main(sys.argv)
1. As the program runs, what is the first line that will be interpreted by Python, and what action will be executed?
2. What will be printed on line 7?
3. What will be printed on line 9?
4. What will be printed on line 13?
5. What will be printed on line 15?
6. What will be printed on line 19?
7. What will be printed on line 21?
8. What will be printed on line 25?
9. What is the scope of the variable at line 3?
10. What will happen if a command line argument other than the script name is passed to this program?
In: Computer Science
During April, the following changes in the single inventory product took place:
April 1 Balance 1,400 units @ $24
8 Purchased 900 units @ $36
12 Purchased 700 units @ $30
24 Purchased 400 units @ $50
10 Sold 1,500 units @ $40
26 Sold 1,700 units @ $44
Calculate the COGS after each sales transaction and the ending inventory after each transaction under the following methods.
(a) FIFO.
(b) Average Cost. (round numbers to the nearest 10)
In: Accounting
During June, the following changes in inventory item 27 took place:
June 1 Balance 1,400 units @ £24
14 Purchased 900 units @ £36
24 Purchased 700 units @ £30
8 Sold 400 units @ £50
10 Sold 1,000 units @ £40
29 Sold 500 units @ £44
Perpetual inventories are maintained in units only.
Instructions
What is the cost of the ending inventory for item 27 under the following methods? (Show calculations.)
(a) FIFO.
(b) Average Cost.
In: Accounting
Experiments with isolated mitochondria showed that organic compounds are oxidized and O2 is consumed only when ADP is included in the preparation. When the ADP supply runs out, oxygen consumption halts. Explain these results.
In: Biology