In: Statistics and Probability
Find P(-2.85 < z < 1.32) Use the Normal table and give answer using 4 decimal places.
q2. A manufacturer knows that their items have a normally
distributed length, with a mean of 17.1 inches, and standard
deviation of 2.9 inches.
If one item is chosen at random, what is the probability that it is
less than 22.5 inches long?
q3. A manufacturer knows that their items have a normally
distributed lifespan, with a mean of 10.1 years, and standard
deviation of 2.7 years.
If you randomly purchase one item, what is the probability it will
last longer than 3 years?
Use the normal table and round answer to four decimal places
q4. In the country of United States of Heightlandia, the height
measurements of ten-year-old children are approximately normally
distributed with a mean of 54.2 inches, and standard deviation of
3.7 inches.
What is the probability that the height of a randomly chosen child
is between 53.15 and 60.95 inches?
Use the Normal table and give answer to 4 decimal places
solution
using z table
(A)P(-2.85 < z < 1.32) =P(Z<1.32) - P(Z < -2.85)
=0.9066- 0.0022
=0.9044
Solution :
Given that ,
mean = = 17.1
standard deviation = = 2.9
n = 1
=17.1
= / n = 1 / 2.9 = 2.9
P( < 22.5) = P[( - ) / < (22.5 - 17.1) /2.9 ]
= P(z < 1.86)
Using z table
= 0.9686
(B)Solution :
Given that ,
mean = = 10.1
standard deviation = = 2.7
n = 1
=10.1
= / n =2.7 / 1 = 2.7
P( >3 ) = 1 - P( < 3)
= 1 - P[( - ) / < (3 - 10.1) /2.7 ]
= 1 - P(z <-2.63 )
Using z table,
= 1 - 0.0043
= 0.9957
(D)Solution :
Given that,
mean = = 54.2
standard deviation = =3.7
P(53.15< x < 60.95) = P[(53.15 - 54.2) /3.7 < (x -) / < (60.95 - 54.2) / 3.7)]
= P( -0.28< Z <1.82 )
= P(Z <1.82 ) - P(Z <-0.28 )
Using z table,
= 0.9656 - 0.3897
=0.5759