2. Whether you have had a course on statistics or not, you are likely to have heard of the normal (or bell) curve. This is what is referred to in statistics as a probability distribution which are used to calculate probabilities. In particular the normal distribution is defined by the probability density function, with mean = 0 and standard deviation = 1. f(x) = -√² (Take a moment and graph this function to see why it's referred to as a 'bell curve'.) Using functions such as these, we may calculate probabilities by simply calculating the area under the graph of this function. For example, it can be shown that AL e-²²dr = 1 which can be interpretted as the probability of a value falling between -∞o and ∞o, in a normally distributed set of data, is 1 (or 100% probability). We'll now calculate the probability that a student's exam score falls within one standard deviation from the overall average. (In other words, with some scaling, the probability of scoring ±10 from 75 if the exam scores fit a standard bell curve) (a) Using a known Maclaurin series, find a series representation centered at c = 0 for f(x) = -¹² (b) (c) Integrate the series you found to compute Put your answer in sigma notation. Lete de Find an approximation to this sum with accuracy < 0.00005.

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2. Whether you have had a course on statistics or not, you are likely to have heard of the normal (or bell) curve. This
is what is referred to in statistics as a probability distribution which are used to calculate probabilities. In particular
the normal distribution is defined by the probability density function, with mean = 0 and standard deviation = 1.
(Take a moment and graph this function to see why it's referred to as a 'bell curve'.)
Using functions such as these, we may calculate probabilities by simply calculating the area under the graph of this
function. For example, it can be shown that
FLO
which can be interpretted as the probability of a value falling between -∞ and ∞o, in a normally distributed set of
data, is 1 (or 100% probability). We'll now calculate the probability that a student's exam score falls within one
standard deviation from the overall average. (In other words, with some scaling, the probability of scoring ±10 from
75 if the exam scores fit a standard bell curve)
(a)
Using a known Maclaurin series, find a series representation centered at c = 0 for f(x) = e-7²².
(b)
1
f(x) =
√2π
(c)
Integrate the series you found to compute
Put your answer in sigma notation.
dx = 1
Let de
-1
Find an approximation to this sum with accuracy < 0.00005.
Transcribed Image Text:2. Whether you have had a course on statistics or not, you are likely to have heard of the normal (or bell) curve. This is what is referred to in statistics as a probability distribution which are used to calculate probabilities. In particular the normal distribution is defined by the probability density function, with mean = 0 and standard deviation = 1. (Take a moment and graph this function to see why it's referred to as a 'bell curve'.) Using functions such as these, we may calculate probabilities by simply calculating the area under the graph of this function. For example, it can be shown that FLO which can be interpretted as the probability of a value falling between -∞ and ∞o, in a normally distributed set of data, is 1 (or 100% probability). We'll now calculate the probability that a student's exam score falls within one standard deviation from the overall average. (In other words, with some scaling, the probability of scoring ±10 from 75 if the exam scores fit a standard bell curve) (a) Using a known Maclaurin series, find a series representation centered at c = 0 for f(x) = e-7²². (b) 1 f(x) = √2π (c) Integrate the series you found to compute Put your answer in sigma notation. dx = 1 Let de -1 Find an approximation to this sum with accuracy < 0.00005.
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