let x denote the number of tires.
x~N(36500,50002)
z="\\frac{x-\\mu}{\\sigma}"
a) P(x>40000)
z="\\frac {40000-36500}{5000}" =0.7
we check the value of p(z>0.7) from the z tables.
=0.24196
24.2% of the tires can be expected to last more than 40000 miles.
b) P(z<0.1)
the value of "\\phi ^{-1}(0.1)" =-1.28
"z=\\frac{x-\\mu}{\\sigma}"
"-1.28=\\frac{x-36500}{5000}"
=30100 miles
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