Bayes rule is given as: P(AIB) = P(BIA) P(A)/P(B) Consider a party where male and not male guest arrive with their choice of dress color. Some pink and others are not. Following is the data about observations of guests and their color choices: Pink notPink Man 5 35 notMan 20 40 Using this data find the probability: P(Pink Man). Show your calculations and the result

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Bayes rule is given as: P(AIB) = P(BIA) P(A)/P(B)
Consider a party where male and not male guest arrive with their choice of dress color. Some pink and others are not. Following is the data about observations of
guests and their color choices:
Pink notPink
Man 5 35
notMan 20 40
Using this data find the probability: P(Pink Man). Show your calculations and the result
Transcribed Image Text:Bayes rule is given as: P(AIB) = P(BIA) P(A)/P(B) Consider a party where male and not male guest arrive with their choice of dress color. Some pink and others are not. Following is the data about observations of guests and their color choices: Pink notPink Man 5 35 notMan 20 40 Using this data find the probability: P(Pink Man). Show your calculations and the result
Following is the association rules found for the Epub data which provides document download information for a library. Using this data choose two rules which are
most important (indicate rule numbers) and explain the reasons for your selection.
confidence lift
<dbl>
Ihs
rhs
support
<chr> <chr> <chr> <dbl>
<dbl>
leverage
<dbl>
[1] {doc_506} => (doc_507) 0.001207960 0.6551724303.094320.001203974
[2] {doc_507}=> (doc_506) 0.001207960 0.5588235303.09432 0.001203974
[3] (doc_4bf} => (doc_4ac) 0.001080806 0.5000000 77.102940.001066788
[4] {doc_6e9} => (doc_6e8) 0.001207960 0.6785714333.53906 0.001204338
[5] {doc_6e8} => (doc_6e9} 0.001207960 0.5937500 333.53906 0.001204338
[6] {doc_6e9} => (doc_6e7) 0.001271537 0.7142857 321.00000 0.001267575
[7] {doc_6e7}=> (doc_6e9} 0.001271537 0.5714286321.000000.001267575
[8] {doc_6e8} => (doc_6e7) 0.001335113 0.6562500 294.918750.001330586
[9] {doc_6e7}=> (doc_6e8) 0.001335113 0.6000000 294.91875 0.001330586
[10] {doc_87c} => (doc_882) 0.001335113 0.6000000 171.58909 0.001327333
[11] {doc_6e8, doc_6e9}=> {doc_6e7} 0.001080806 0.8947368 402.094740.001078118
[12] {doc_6e7, doc_6e9}=> {doc_6e8) 0.001080806 0.8500000 417.80156 0.001078219
[13] {doc_6e7, doc_6e8}=> {doc_6e9} 0.001080806 0.8095238 454.75000 0.001078429
Transcribed Image Text:Following is the association rules found for the Epub data which provides document download information for a library. Using this data choose two rules which are most important (indicate rule numbers) and explain the reasons for your selection. confidence lift <dbl> Ihs rhs support <chr> <chr> <chr> <dbl> <dbl> leverage <dbl> [1] {doc_506} => (doc_507) 0.001207960 0.6551724303.094320.001203974 [2] {doc_507}=> (doc_506) 0.001207960 0.5588235303.09432 0.001203974 [3] (doc_4bf} => (doc_4ac) 0.001080806 0.5000000 77.102940.001066788 [4] {doc_6e9} => (doc_6e8) 0.001207960 0.6785714333.53906 0.001204338 [5] {doc_6e8} => (doc_6e9} 0.001207960 0.5937500 333.53906 0.001204338 [6] {doc_6e9} => (doc_6e7) 0.001271537 0.7142857 321.00000 0.001267575 [7] {doc_6e7}=> (doc_6e9} 0.001271537 0.5714286321.000000.001267575 [8] {doc_6e8} => (doc_6e7) 0.001335113 0.6562500 294.918750.001330586 [9] {doc_6e7}=> (doc_6e8) 0.001335113 0.6000000 294.91875 0.001330586 [10] {doc_87c} => (doc_882) 0.001335113 0.6000000 171.58909 0.001327333 [11] {doc_6e8, doc_6e9}=> {doc_6e7} 0.001080806 0.8947368 402.094740.001078118 [12] {doc_6e7, doc_6e9}=> {doc_6e8) 0.001080806 0.8500000 417.80156 0.001078219 [13] {doc_6e7, doc_6e8}=> {doc_6e9} 0.001080806 0.8095238 454.75000 0.001078429
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