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Using the correction for continuity, determine the probability required in Exercise 6 of Sec. 6.3.

Short Answer

Expert verified

Probability that the target will be hit at least 12 times is 0.082

Step by step solution

01

Given information

Girl A throws snowballs at a target 10 times and probability that she will hit the target is 0.3.

Girl B throws snowballs at a target 15 times and probability that she will hit the target is 0.2.

Girl B throws snowballs at a target 20 times and probability that she will hit the target is 0.1.

02

Calculating the probability of hitting target at least 12 times.

The distribution of the total number of times X that the target is hit will be approximately the normal distribution with mean

\(10\left( {0.3} \right) + 15\left( {0.20} \right) + 20\left( {0.1} \right) = 8\)

Variance is

\(10\left( {0.3} \right)\left( {0.7} \right) + 15\left( {0.2} \right)\left( {0.8} \right) + 20\left( {0.1} \right)\left( {0.8} \right) = 6.3\)

Therefore the distribution of X is approximately a standard normal distribution.

\(\begin{array}{c}Z = \frac{{\left( {X - 8} \right)}}{{\sqrt {6.3} }}\\ = \frac{{\left( {X - 8} \right)}}{{2.51}}\end{array}\)

Thus,

\(\begin{array}{c}{\rm P}\left( {X \ge 12} \right) = {\rm P}\left( {X \ge 11.5} \right)\\ = {\rm P}\left( {Z \ge \frac{{11.5 - 8}}{{2.51}}} \right)\\ = {\rm P}\left( {Z \ge \frac{{3.5}}{{2.51}}} \right)\end{array}\)

\(\begin{array}{l}{\rm P}\left( {X \ge 12} \right) \approx 1 - \phi \left( {1.394} \right)\\{\rm P}\left( {X \ge 12} \right) \approx 0.082\end{array}\)

Therefore,Probability that the target will be hit at least 12 times is 0.082.

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Most popular questions from this chapter

It is said that a sequence of random variables\({Z_1},{Z_2},...\)converges to a constant b in quadratic mean if

\(\mathop {\lim }\limits_{n \to \infty } E\left[ {{{\left( {{Z_n} - b} \right)}^2}} \right] = 0\). (6.2.17)

Show that Eq. (6.2.17) is satisfied if and only if\(\mathop {\lim }\limits_{n \to \infty } E\left( {{Z_n}} \right) = b\)and\(\mathop {\lim }\limits_{x \to \infty } V\left( {{Z_n}} \right) = 0\).

Using the correction for continuity, determine the probability required in Exercise 2 of Sec. 6.3.

Let f be a p.f. for a discrete distribution. Suppose that\(f\left( x \right) = 0\)for \(x \notin \left[ {0,1} \right]\). Prove that the variance of this distribution is at most\(\frac{1}{4}\). Hint: Prove that there is a distribution supported on just the two points\(\left\{ {0,1} \right\}\)with variance at least as large as f, and then prove that the variance of distribution supported on\(\left\{ {0,1} \right\}\)is at most\(\frac{1}{4}\).

Suppose people attending a party pour drinks from a bottle containing 63 ounces of a particular liquid. Suppose also that the expected size of each drink is 2 ounces, the standard deviation of each drink is 1/2 ounce, and all drinks are poured independently. Determine the probability that the bottle will not be empty after 36 drinks have been poured.

Let X have the gamma distribution with parameters n and 3, where n is a large integer.

a. Explain why one can use the central limit theorem to approximate the distribution of X by a normal distribution.

b. Which normal distribution approximates the distribution of X?

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