NOTE: Answers using z-scores rounded to 3 (or more)
decimal places will work for this problem.
The population of weights for men attending a local health club is
normally distributed with a mean of 183-lbs and a standard
deviation of 27-lbs. An elevator in the health club is limited to
34 occupants, but it will be overloaded if the total weight is in
excess of 6630-lbs.
Assume that there are 34 men in the elevator. What is the average
weight beyond which the elevator would be considered
overloaded?
average weight = lbs
What is the probability that one randomly selected male health club
member will exceed this weight?
P(one man exceeds) =
(Report answer accurate to 4 decimal places.)
If we assume that 34 male occupants in the elevator are the result
of a random selection, find the probability that the evelator will
be overloaded?
P(elevator overloaded) =
(Report answer accurate to 4 decimal places.)
If the evelator is full (on average) 6 times a day, how many times
will the evelator be overloaded in one (non-leap) year?
number of times overloaded =
(Report answer rounded to the nearest whole number.)
Is there reason for concern?
1) average weight =6630/34= 195
2)
probability that one randomly selected male health club member will exceed this weight :
probability =P(X>195)=P(Z>(195-183)/27)=P(Z>0.44)=1-P(Z<0.44)=1-0.67=0.3300 |
3)
sample size =n= | 34 |
std error=σx̅=σ/√n= | 4.6305 |
probability =P(X>195)=P(Z>(195-183)/4.63)=P(Z>2.59)=1-P(Z<2.59)=1-0.9952=0.0048 |
4)
expected number of times =6*365*0.0048 =10.51 ~11
yes, the current overload limit is not adequate to insure the safey of the passengers
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