A manufacturer knows that their items have a normally
distributed lifespan, with a mean of 10.7 years, and standard
deviation of 2.9 years.
If you randomly purchase one item, what is the probability it will
last longer than 4 years?
= 150
= 16
To find P(134< X< 198):
Case1: For X from 134 to mid value:
Z = (134 - 150)/16 = - 1
By 68 - 95 - 99.7 Rule, area = 0.68/2 = 0.34
Case 2: For X from mid value to 198:
Z = (198 - 150)/16 = 3
By 68 - 95 - 99.7 Rule, area = 0.997/2 = 0.4985
So,
P(134 < X < 198) =0.34 + 0.4985 = 0.8385
So,
Number of observations in the data set expected to be between the values 134 and 198 is given by:
0.8385 X 7500 = 6289 (the nearest single observation)Round to
So,
Answer is:
6289
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