





Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
Given the data, the results in the excel file are solved and accurate
Typology: Lab Reports
1 / 9
This page cannot be seen from the preview
Don't miss anything!
Event A Door locked Shape Size Price Cut Grade Shape Size Price Cut Grade Princess 2.03 21,413 Ultra ideal cut Princess 2.03 21,413 Ultra ideal cut Emerald 1.50 16,214 Ultra ideal cut Emerald 1.50 16,214 Ultra ideal cut Using sumproduct, we can determine: Marquis 1.25 13,762 Ultra ideal cut Marquis 1.25 13,762 Ultra ideal cut What is the (posterior) probability that Princess 1.08 12,094 Ultra ideal cut Princess 1.08 12,094 Ultra ideal cut What is the (posterior) probability that Round 1.02 11,506 Ultra ideal cut Round 1.02 11,506 Ultra ideal cut Total Princess 2.35 20,952 Premium cut Princess 2.35 20,952 Premium cut Emerald 1.50 13,464 Premium cut Emerald 1.50 13,464 Premium cut Oval 1.50 13,464 Premium cut Oval 1.50 13,464 Premium cut Round 1.03 9,324 Premium cut Round 1.03 9,324 Premium cut Marquis 0.96 8,707 Premium cut Marquis 0.96 8,707 Premium cut Princess 5.03 44,312 Ideal cut Princess 5.03 44,312 Ideal cut Marquis 1.75 15,417 Ideal cut Marquis 1.75 15,417 Ideal cut Round 1.50 13,214 Ideal cut Round 1.50 13,214 Ideal cut Emerald 1.50 13,214 Ideal cut Emerald 1.50 13,214 Ideal cut Princess 1.00 8,810 Ideal cut Princess 1.00 8,810 Ideal cut Princess 1.00 8,810 Ideal cut Princess 1.00 8,810 Ideal cut Round 0.90 7,929 Ideal cut Round 0.90 7,929 Ideal cut Round 0.75 6,607 Ideal cut Round 0.75 6,607 Ideal cut Round 0.71 4,125 Ideal cut Round 0.71 4,125 Ideal cut Round 0.65 5,726 Good cut Round 0.65 5,726 Good cut Round 0.50 4,405 Good cut Round 0.50 4,405 Good cut Oval 0.25 2,202 Good cut Oval 0.25 2,202 Good cut Round 1.50 13,214 Good cut Round 1.50 13,214 Good cut Princess 2.01 9,667 Average cut Princess 2.01 9,667 Average cut Princess 1.56 7,503 Average cut Princess 1.56 7,503 Average cut Oval 1.46 7,022 Average cut Oval 1.46 7,022 Average cut Marquis 1.45 6,974 Average cut Marquis 1.45 6,974 Average cut Marquis 1.02 4,906 Average cut Marquis 1.02 4,906 Average cut Oval 1.01 4,858 Average cut Oval 1.01 4,858 Average cut Marquis 0.87 4,184 Average cut Marquis 0.87 4,184 Average cut Round 1.35 11892.92 Average cut Round 1.35 11,893 Average cut Marquis 2.87 13803.47 Average cut Marquis 2.87 13,803 Average cut Princess 2.94 14140.14 Ideal cut Princess 2.94 14,140 Ideal cut Door left unlocked
Total Posterior ing sumproduct, we can determine: hat is the (posterior) probability that a garage door was unlocked, given a theft? hat is the (posterior) probability that a garage door was locked, given a theft? Prior Probability P (A) Conditional Probability P(B| A) Conditional Probability P(B|A) Joint Probability P(A and B) Joint Probability P(A and B) Posterior Probability P(A|B) Probability of theft, given the door is unlocked. Probability of door unlocked and theft Probability of door unlocked, given theft Probability of theft, given the door is locked Probability of door locked and theft Probability of door locked, given theft Total Joint Probabilities
Round 1.03 9,324 Premium cut
Round 0.71 4,125 Ideal cut Round 0.65 5,726 Good cut Round 0.50 4,405 Good cut Oval 0.25 2,202 Good cut Round 1.50 13,214 Good cut Princess 2.01 9,667 Average cut Princess 1.56 7,503 Average cut Oval 1.46 7,022 Average cut Marquis 1.45 6,974 Average cut Marquis 1.02 4,906 Average cut Oval 1.01 4,858 Average cut Marquis 0.87 4,184 Average cut Round 1.35 11892.9195 Average cut Marquis 2.87 13803.4659 Average cut Princess 2.94 14140.1358 Ideal cut
Event A 25% 0. Door locked 75% 0. Using sumproduct, we can determine: What is the (posterior) probability that a garage door was unlocked, given a theft? What is the (posterior) probability that a garage door was locked, given a theft? Total
Prior Probability P (A) Conditional Probability P(B| A) Conditional Probability P(B|A) Door left unlocked Probability of theft, given the door is unlocked. Probability of theft, given the door is locked