Let X denotes lifetime of lamp brand with average of 25 months and the variance 400. If we assume that the pattern of lamp lifetime follows normal distribution, calculate the below items:
a) What is the probability that a lamp lasted less than 45 months?
b) What is the probability that a student scored at least 45 months?
c) What is the probability that a lamp worked within 1 standard deviation of the mean?
d) If a lamp lifetime is above the 80th percentile, the company get excellent rate in review, what value it must achieve to get an excellent rate?
e) If a school purchase 30 of these lamps, what is the probability that 6 out of them will receive excellent rate?
here standard deviation =sqrt(400)=20
a)
for normal distribution z score =(X-μ)/σ | |
here mean= μ= | 25 |
std deviation =σ= | 20.0000 |
probability that a lamp lasted less than 45 months:
probability = | P(X<45) | = | P(Z<1)= | 0.8413 | 0.1587 |
b)
probability that a student scored at least 45 months =P(X>45)=1-P(X<45)=1-0.1587 =0.8413
c)
probability that a lamp worked within 1 standard deviation of the mean =P(-1<Z<1)=0.8413-0.1587 =0.6826
d)
for 80th percentile critical value of z= | 0.84 | ||
therefore corresponding value=mean+z*std deviation= | 41.80 |
e)P(6 will receive excellent rating)=30C6(0.2)6(0.8)24 =0.1795
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