A function is a probability density function if it satisfies the following definition: f(t)dt = 1. The probability that a random variable lies between a and b is given by %3D P(a < a < b) = | f(t)dt.

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Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
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A function is a probability density function if it satisfies the following definition:
f(t)dt = 1. The probability that a random variable x lies between a and b is given by
P(a <x < b) =
f(t)dt.
A. Determine which of the following is a probability density function:
if
x < 0
O f(#) = { 7e-1z
if
x > 0
if
f(x) =
7+2 if
x > 0
B. For the one that is a probability density function, find the probability that is between 0 and
0.4.
Transcribed Image Text:A function is a probability density function if it satisfies the following definition: f(t)dt = 1. The probability that a random variable x lies between a and b is given by P(a <x < b) = f(t)dt. A. Determine which of the following is a probability density function: if x < 0 O f(#) = { 7e-1z if x > 0 if f(x) = 7+2 if x > 0 B. For the one that is a probability density function, find the probability that is between 0 and 0.4.
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