b) Exhibit 2 below shows a pivot table for hotel bookings which were not cancelled from July 2015 to August 2017, presented on a monthly basis Exhibit 2. (All) arrival date year Cancelled No Count of hotel hotel arrival_date_month City Hotel Resort Hotel Grand Total 2254 1868 January February 4122 3064 2308 5372 March 4072 2573 6645 6565 April Мay 4015 2550 4579 2535 7114 June 4366 2038 6404 July 4782 3137 7919 August September October 5381 3257 8638 4290 2102 6392 4337 2577 6914 November 2696 1976 4672 December 2392 2017 4409 Grand Total 46228 28938 75166 (i). Based on the fact that the data recorded was from July 2015 until August 2017, explain why we have the largest numbers in the months of July and August?

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b) Exhibit 2 below shows a pivot table for hotel bookings which were not cancelled from July 2015 to August 2017, presented on a monthly basis
Exhibit 2.
arrival date year
Cancelled
(All)
No
Count of hotel
hotel
arrival_date_month City Hotel
Resort Hotel Grand Total
2254
1868
4122
January
February
3064
2308
5372
March
4072
2573
6645
2550
April
Мay
4015
6565
4579
2535
7114
June
4366
2038
6404
July
August
September
4782
3137
7919
5381
3257
8638
4290
2102
6392
October
4337
2577
6914
November
2696
1976
4672
December
2392
2017
4409
Grand Total
46228
28938
75166
(i). Based on the fact that the data recorded was from July 2015 until August 2017, explain why we have the largest numbers in the months of July and August?
(ii). Do you agree that the issue in part i. above does not cause any sort of biasness?
Give explanation to your answer. What would you do to correct this problem?
Transcribed Image Text:b) Exhibit 2 below shows a pivot table for hotel bookings which were not cancelled from July 2015 to August 2017, presented on a monthly basis Exhibit 2. arrival date year Cancelled (All) No Count of hotel hotel arrival_date_month City Hotel Resort Hotel Grand Total 2254 1868 4122 January February 3064 2308 5372 March 4072 2573 6645 2550 April Мay 4015 6565 4579 2535 7114 June 4366 2038 6404 July August September 4782 3137 7919 5381 3257 8638 4290 2102 6392 October 4337 2577 6914 November 2696 1976 4672 December 2392 2017 4409 Grand Total 46228 28938 75166 (i). Based on the fact that the data recorded was from July 2015 until August 2017, explain why we have the largest numbers in the months of July and August? (ii). Do you agree that the issue in part i. above does not cause any sort of biasness? Give explanation to your answer. What would you do to correct this problem?
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