An article in the Journal of Database Management ["Experimental Study of a Self-Tuning Algorithm for DBMS Buffer Pools" (2005, Vol. 16, pp. 1-20)] provided the workload used in the TPC-C OLTP (Transaction Processing Performance Council's Version C On-Line Transaction Processing) benchmark, which simulates a typical order entry application. Transaction New Order (a) P(A): i (b) P(B): i (c) P(An B): i (d) P(An B'): i (e) P(A y B): Payment Order Status Delivery Stock Level Frequency Selects Updates Inserts Deletes Non-Unique Selects Joins 43 27 9 12 0 0 44 5 1 0 0 10 4 5 4 0.9 6.8 100 5 2 67 6 0 0 0 0 0.6 0.6 0 0 0 0 1 The frequency of each type of transaction (in the second column) can be used as the percentage of each type of transaction. The average number of "selects" operations required for each type of transaction is shown. Let A denote the event of transactions with an average number of selects operations of 12 or fewer. Let B denote the event of transactions with an average number of updates operations of 12 or fewer. Calculate the following probabilities. Round your answers to four decimal places (e.g. 98.7654).
An article in the Journal of Database Management ["Experimental Study of a Self-Tuning Algorithm for DBMS Buffer Pools" (2005, Vol. 16, pp. 1-20)] provided the workload used in the TPC-C OLTP (Transaction Processing Performance Council's Version C On-Line Transaction Processing) benchmark, which simulates a typical order entry application. Transaction New Order (a) P(A): i (b) P(B): i (c) P(An B): i (d) P(An B'): i (e) P(A y B): Payment Order Status Delivery Stock Level Frequency Selects Updates Inserts Deletes Non-Unique Selects Joins 43 27 9 12 0 0 44 5 1 0 0 10 4 5 4 0.9 6.8 100 5 2 67 6 0 0 0 0 0.6 0.6 0 0 0 0 1 The frequency of each type of transaction (in the second column) can be used as the percentage of each type of transaction. The average number of "selects" operations required for each type of transaction is shown. Let A denote the event of transactions with an average number of selects operations of 12 or fewer. Let B denote the event of transactions with an average number of updates operations of 12 or fewer. Calculate the following probabilities. Round your answers to four decimal places (e.g. 98.7654).
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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help with statistic question please
![An article in the Journal of Database Management ["Experimental Study of a Self-Tuning Algorithm for DBMS Buffer Pools" (2005, Vol.
16, pp. 1-20)] provided the workload used in the TPC-COLTP (Transaction Processing Performance Council's Version C On-Line
Transaction Processing) benchmark, which simulates a typical order entry application.
Transaction
New Order
Payment
Order Status
Delivery
Stock Level
(a) P(A): i
(b) P(B):
i
(c) P(A n B): i
(d) P(An B'): i
(e) P(A U B):i
Frequency Selects Updates Inserts Deletes Non-Unique Selects Joins
43
27
9
12
0
0
44
0.9
5
4
5
4
6.8
100
5
2
67
6
1
0
0
0
0
0
10
0
0
0.6
0.6
0
0
0
0
1
The frequency of each type of transaction (in the second column) can be used as the percentage of each type of transaction. The
average number of "selects" operations required for each type of transaction is shown. Let A denote the event of transactions with an
average number of selects operations of 12 or fewer. Let B denote the event of transactions with an average number of updates
operations of 12 or fewer. Calculate the following probabilities. Round your answers to four decimal places (e.g. 98.7654).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F00114bb1-0365-4dfa-83cb-10b10c9a61b0%2F36b15834-8e5c-4d03-97e2-a21f51ef8fba%2Fzpt02rb_processed.png&w=3840&q=75)
Transcribed Image Text:An article in the Journal of Database Management ["Experimental Study of a Self-Tuning Algorithm for DBMS Buffer Pools" (2005, Vol.
16, pp. 1-20)] provided the workload used in the TPC-COLTP (Transaction Processing Performance Council's Version C On-Line
Transaction Processing) benchmark, which simulates a typical order entry application.
Transaction
New Order
Payment
Order Status
Delivery
Stock Level
(a) P(A): i
(b) P(B):
i
(c) P(A n B): i
(d) P(An B'): i
(e) P(A U B):i
Frequency Selects Updates Inserts Deletes Non-Unique Selects Joins
43
27
9
12
0
0
44
0.9
5
4
5
4
6.8
100
5
2
67
6
1
0
0
0
0
0
10
0
0
0.6
0.6
0
0
0
0
1
The frequency of each type of transaction (in the second column) can be used as the percentage of each type of transaction. The
average number of "selects" operations required for each type of transaction is shown. Let A denote the event of transactions with an
average number of selects operations of 12 or fewer. Let B denote the event of transactions with an average number of updates
operations of 12 or fewer. Calculate the following probabilities. Round your answers to four decimal places (e.g. 98.7654).
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