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Mathematics 21 Online
OpenStudy (anonymous):

The life expectancy of a typical lightbulb is normally distributed with a mean of 2,000 hours and a standard deviation of 27 hours. What is the probability that a lightbulb will last between 1,975 and 2,050 hours?

OpenStudy (anonymous):

0.17619 0.32381 0.79165 0.96784

OpenStudy (anonymous):

@Michele_Laino

OpenStudy (amistre64):

what do you ahve to work with, ti83 or tables or what?

OpenStudy (anonymous):

what do you mean?

OpenStudy (amistre64):

you have to do calculations, you need something to work them on since im pretty sure you dont want to do an integration of a complicated function ... what do you have to work it out with?

OpenStudy (anonymous):

oh i just have a scientific calculator

OpenStudy (amistre64):

thats not going to do ... unless it has statistical functions built into it. a ti83 is such a calculator.

OpenStudy (amistre64):

the concept has to do with finding the associated z scores related to the interval in question, and then working out a function, or looking up values in a table

OpenStudy (amistre64):

using the formula: \[z=\frac{x-mean}{sd}\] we can determine the z scores for the intervals endpoints. but then we need a way to find the areas associated with them

OpenStudy (michele_laino):

we have to compute the z-values as @amistre64 well said, in order to that, we have to compute this quantities: (2000-1975)/27=...? (2050-2000)/27=...?

OpenStudy (anonymous):

0.92 1.85

OpenStudy (michele_laino):

now we have to use the table of erf function

OpenStudy (amistre64):

if thats the only recourse we have :) sure

OpenStudy (amistre64):

-0.92 if the table is left tailing ...

OpenStudy (michele_laino):

|dw:1429985368792:dw| for z=0.92, we have area= 0.3212 for z=1.85, we have 0.4678

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