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A physicist makes 25 independent measurements of the specific gravity of a certain body. He knows that the limitations of his equipment are such that the standard deviation of each measurement is σ units.

a. By using the Chebyshev inequality, find a lower bound for the probability that the average of his measurements will differ from the actual specific gravity of the body by less than σ/4 units.

b. By using the central limit theorem, find an approximate value for the probability in part (a).

Short Answer

Expert verified

a. The lower bound is 0.36

b. The approximate value for the probability for part (a) is 0.7888

Step by step solution

01

Given information

A physicist makes 25 independent measurements of the specific gravity of a particular body, i.e.,\(n = 25\)

The standard deviation for each measurement is \(\sigma \) units

02

(a) Finding the lower bound

Using the Chebyshev inequality,

\(\Pr \left( {\left| {{{\bar X}_n} - \mu } \right| \ge t} \right) \le \frac{{{\sigma ^2}}}{{n{t^2}}}\)

And

\(\Pr \left( {\left| {{{\bar X}_n} - \mu } \right| \le t} \right) \ge 1 - \frac{{{\sigma ^2}}}{{n{t^2}}}\)

So,

\(\begin{array}{c}\Pr \left( {\left| {{{\bar X}_n} - \mu } \right| \ge \frac{\sigma }{4}} \right) \le \frac{{{\sigma ^2}}}{n} \times \frac{{16}}{{{\sigma ^2}}}\\ = \frac{{16}}{{25}}\end{array}\)

\(\begin{array}{c}\Pr \left( {\left| {{{\bar X}_n} - \mu } \right| \le \frac{\sigma }{4}} \right) \ge 1 - \left( {\frac{{{\sigma ^2}}}{n} \times \frac{{16}}{{{\sigma ^2}}}} \right)\\ = 1 - \frac{{16}}{{25}}\\ = \frac{9}{{25}}\\ = 0.36\end{array}\)

\(\Pr \left( {\left| {{{\bar X}_n} - \mu } \right| \le \frac{\sigma }{4}} \right) = 0.36\)

Therefore, the lower bound is 0.36

03

(b) Finding the approximate value

Using the central limit theorem,

\(\begin{array}{c}Z = \frac{{{{\bar X}_n} - \mu }}{{{\raise0.7ex\hbox{$\sigma $} \!\mathord{\left/

{\vphantom {\sigma {\sqrt n }}}\right.}\!\lower0.7ex\hbox{${\sqrt n }$}}}}\\ = \frac{5}{\sigma }\left( {{{\bar X}_n} - \mu } \right)\end{array}\)

Will be approximately a standard normal distribution.

\(\begin{array}{c}\Pr \left( {\left| {{{\bar X}_n} - \mu } \right| \le \frac{\sigma }{4}} \right) = \Pr \left( {\left| Z \right| \le \frac{5}{4}} \right)\\ \approx 2\Phi \left( {1.25} \right) - 1\\ = \left( {2 \times 0.8944} \right) - 1\\ = 0.7888\end{array}\)

Therefore, the approximate value for the probability for part (a) is 0.7888

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