(a) |
The time spent (in minutes) per day on reading newspaper by an adult can be approximated by a normal distribution with mean 15 minutes and standard deviation 3 minutes. |
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i. |
Find the probability that the reading time per day for a randomly selected adult is more than 18 minutes. |
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ii. |
What is the shortest time spent in reading newspaper for an adult per day that would still place him in the top 9%? |
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iii. |
How many adults spent less than 20 minutes in reading newspaper for a random sample of 100 adults selected? |
i)
for normal distribution z score =(X-μ)/σ | |
here mean= μ= | 15 |
std deviation =σ= | 3.0000 |
probability that the reading time per day for a randomly selected adult is more than 18 minutes:
probability =P(X>18)=P(Z>(18-15)/3)=P(Z>1)=1-P(Z<1)=1-0.8413=0.1587 |
ii)
for 9th percentile critical value of z= | -1.34 | ||
therefore corresponding value=mean+z*std deviation=15-1.34*3 = | 10.98 minutes |
iii)
P(spent less than 20 minutes):
probability =P(X<20)=(Z<(20-15)/3)=P(Z<1.67)=0.9525 |
expected number of adults spent less than 20 minutes in reading newspaper =np=100*0.9525~ 95
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