After testing their AAA batteries, Duracell found that the lifetime of the batteries are approximated 100 by the cumulative distribution function P(t) =1- over the interval 0

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Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
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After testing their AAA batteries, Duracell found that the lifetime of the batteries are approximated
100
by the cumulative distribution function P(t) =1-
over the interval 0<t<∞, where t is
100 +t?
time measured in hours.
i) First verify that P(t) is a valid c.d.f.
ii) What percentage of batteries last between 15 and 30 hours?
iii) What percentage of batteries last less than 20 hours? More than 20 hours?
iv) Find the median lifetime T.
Transcribed Image Text:After testing their AAA batteries, Duracell found that the lifetime of the batteries are approximated 100 by the cumulative distribution function P(t) =1- over the interval 0<t<∞, where t is 100 +t? time measured in hours. i) First verify that P(t) is a valid c.d.f. ii) What percentage of batteries last between 15 and 30 hours? iii) What percentage of batteries last less than 20 hours? More than 20 hours? iv) Find the median lifetime T.
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