Team |
Revenue (USD Mn.) |
Valuation (USD Mn.) |
Atlanta |
103 |
306 |
Boston |
144 |
433 |
Charlotte |
96 |
278 |
Chicago |
168 |
511 |
Cleveland |
159 |
476 |
Dallas |
154 |
446 |
Denver |
115 |
321 |
Detroit |
171 |
479 |
Golden State |
113 |
315 |
Houston |
160 |
470 |
Indiana |
97 |
281 |
Los Angeles Clippers |
102 |
295 |
Los Angeles Lakers |
209 |
607 |
Memphis |
88 |
257 |
Miami |
126 |
364 |
Milwaukee |
91 |
254 |
Minnesota |
96 |
268 |
New Jersey |
92 |
269 |
New Orleans |
95 |
267 |
New York |
202 |
586 |
Oklahoma City |
111 |
310 |
Orlando |
107 |
361 |
Philadelphia |
115 |
344 |
Phoenix |
148 |
429 |
Portland |
121 |
338 |
Sacramento |
109 |
305 |
San Antonio |
133 |
398 |
Toronto |
133 |
386 |
Utah |
118 |
343 |
Washington |
110 |
313 |
Q1. For the
data on revenue and valuation of teams in the National Basketball Association
(NBA), conduct the following analysis:
data on revenue and valuation of teams in the National Basketball Association
(NBA), conduct the following analysis:
i. Determine
the measures of central tendency and of dispersion for revenue and valuation.
the measures of central tendency and of dispersion for revenue and valuation.
ii. Provide
the five-number summary i.e. the minimum, 1st quartile, median, 3rd quartile
and maximum value for revenue.
the five-number summary i.e. the minimum, 1st quartile, median, 3rd quartile
and maximum value for revenue.
Interpret
the above results and comment on how the data is distributed.
the above results and comment on how the data is distributed.
Q2. For the
same data on NBA revenue and valuation given above:
same data on NBA revenue and valuation given above:
i. Is there
a strong association between revenue and valuation?
a strong association between revenue and valuation?
ii. Create a
scatter plot diagram depicting the association between the two variables.
scatter plot diagram depicting the association between the two variables.
iii. The franchise
owners want to understand if the valuation is dependent on revenue. How can you
assess this?
owners want to understand if the valuation is dependent on revenue. How can you
assess this?
iv. Using
the regression equation, predict the valuation of a team whose revenue was USD
300 mn.
the regression equation, predict the valuation of a team whose revenue was USD
300 mn.
(10 Marks)
Q3. There
are 300 students in an online MBA program for working professionals, for whom
the attendance in online classes is 70%, i.e. on an average, 210 students are
present in an online session. Fifty new students are admitted in this batch.
are 300 students in an online MBA program for working professionals, for whom
the attendance in online classes is 70%, i.e. on an average, 210 students are
present in an online session. Fifty new students are admitted in this batch.
a. What is
the probability of attendance being at least 70% among the new students, thus
ensuring the overall attendance does not fall below 70%? (5 Marks)
the probability of attendance being at least 70% among the new students, thus
ensuring the overall attendance does not fall below 70%? (5 Marks)
b. The
Program Dean thinks that this probability will increase, if the new batch size
is 40 instead of 50 students. Is he right in assuming so? (5 Marks)
Program Dean thinks that this probability will increase, if the new batch size
is 40 instead of 50 students. Is he right in assuming so? (5 Marks)
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