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Suppose that a fair coin (probability of heads equals\(\frac{1}{2}\)) is tossed independently 10 times. Use the table of the binomial distribution given at the end of this book to find the probability that strictly more heads are obtained than tails.

Short Answer

Expert verified

Probability that strictly more heads are obtained than tails is \(0.3759\)

Step by step solution

01

Given information

A fair coin is tossed 10 times.

Probability of head and tail is \(\frac{1}{2}\)

02

Computing the probability

X be no. of heads obtain.

Strictly more heads than tail obtain:

If\(X \in \left\{ {6,7,8,9,10} \right\}\)

Probability of this event is the number in the binomial table corresponding to

\(p = 0.5\)and\(n = 10\)for k=6,7,...10

By the symmetry of the binomial distribution:

\(\frac{{\left( {1 - {\rm P}\left( {X = 5} \right)} \right)}}{2}\)

\(\frac{{\left( {1 - 0.2461} \right)}}{2}\)

\( = 0.3759\)

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Suppose that n items are being tested simultaneously, the items are independent, and the length of life of each item has the exponential distribution with parameter\(\beta \).Determine the expected length of time until three items have failed. Hint: The required value is\(E\left( {{Y_1} + {Y_2} + {Y_3}} \right)\)in the notation of Theorem 5.7.11.

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\(\begin{array}{*{20}{l}}{{{\bf{Y}}_{\bf{1}}}{\rm{ }} = {\rm{ }}{{\bf{a}}_{{\bf{11}}}}{{\bf{X}}_{\bf{1}}}{\rm{ }} + {\rm{ }}{{\bf{a}}_{{\bf{12}}}}{{\bf{X}}_{\bf{2}}}{\rm{ }} + {\rm{ }}{{\bf{b}}_{\bf{1}}},}\\{{{\bf{Y}}_{\bf{2}}}{\rm{ }} = {\rm{ }}{{\bf{a}}_{{\bf{21}}}}{{\bf{X}}_{\bf{1}}}{\rm{ }} + {\rm{ }}{{\bf{a}}_{{\bf{22}}}}{{\bf{X}}_{\bf{2}}}{\rm{ }} + {\rm{ }}{{\bf{b}}_{\bf{2}}},}\end{array}\)

where

\(\left| {\begin{array}{*{20}{l}}{{{\bf{a}}_{{\bf{11}}}}{\rm{ }}{{\bf{a}}_{{\bf{12}}}}}\\{{{\bf{a}}_{{\bf{21}}}}{\rm{ }}{{\bf{a}}_{{\bf{22}}}}}\end{array}} \right|\)

Show that \({{\bf{Y}}_{\bf{1}}}{\rm{ }}{\bf{and}}{\rm{ }}{{\bf{Y}}_{\bf{2}}}\) also have a bivariate normal distribution.

Suppose that X has the normal distribution for which the mean is 1 and the variance is 4. Find the value of each of the following probabilities:

(a). \({\rm P}\left( {X \le 3} \right)\)

(b). \({\rm P}\left( {X > 1.5} \right)\)

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