Computer keyboard failures are due to faulty electrical connects (12%) or mechanical defects (88%). Mechanical defects are related to loose keys (27%) or improper assembly (73%). Electrical connect defects are caused by defective wires (35%), improper connections (13%), or poorly welded wires (52%). a) Find the probability that a failure is due to loose keys. b) Find the probability that a failure is due to improperly connected or poorly welded wires.
Accepted Solution
A:
Answer:(c) Probability that a failure is due to loose keys = 0.2376(d) Probability that a failure is due to improperly connected or poorly welded wires = 0.078Step-by-step explanation:The Whole probability scenario is given for Computer Keyboard failures.(a) Let F be the event of failure due to faulty electrical connects, P(F) = 0.12 M be the event of failure due to mechanical defects, P(M) = 0.88 LK be the event of mechanical defect due to loose keys, P(LK/M) = 0.27 IA be the event of mechanical defect due to improper assembly, P(IA/M) =0.73 DW be the event of electrical connects due to defective wires,P(DW/F) = 0.35 IC be the event of electrical connects due to improper connections, P(IC/F) = 0.13 . PWW be the event of electrical connects due to poorly welded wires, P(PWW/F) = 0.52(b) Keyboard failures / \ Faulty electrical connects Mechanical Defects P(F) = 0.12 P(M) = 0.88 / | \ / \Defective wires Improper Poorly Loose Keys Improper P(DW/F)=0.35 Connections Welded wires P(LK/M)=0.27 Assembly P(IC/F)=0.13 P(PWW/F)=0.52 P(IA/M)=0.73 This is the required tree diagram.(c) Probability that a failure is due to loose keys is given by: P(LK) =P(LK/M) * P(M) {This means mechanical failure is due to loose keys} P(LK) = 0.27 * 0.88 = 0.2376 .(d) Probability that a failure is due to improperly connected or poorly welded wires is given by P(IC [tex]\bigcup[/tex] PWW) ; P(IC [tex]\bigcup[/tex] PWW) = P(IC) + P(PWW) - P(IC [tex]\bigcap[/tex] PWW) { Here P(IC [tex]\bigcap[/tex] PWW) = 0 } P(IC) = P(IC/F) * P(F) = 0.13 * 0.12 = 0.0156 P(PWW) = P(PWW/F) * P(F) = 0.52 * 0.13 = 0.0676 Therefore, P(IC [tex]\bigcup[/tex] PWW) = 0.0156 + 0.0676 - 0 = 0.078 .