Chapter 3: Q6E (page 100)
Suppose that a random variableXhas the binomial distribution with parametersn=15 andp=0.5. Find Pr(X <6).
Short Answer
The probability of X being less than 6 is 0.1509
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Chapter 3: Q6E (page 100)
Suppose that a random variableXhas the binomial distribution with parametersn=15 andp=0.5. Find Pr(X <6).
The probability of X being less than 6 is 0.1509
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A civil engineer is studying a left-turn lane that is long enough to hold seven cars. LetXbe the number of cars in the lane at the end of a randomly chosen red light. The engineer believes that the probability thatX=xis proportional to(x+1)(8−x)forx=0, . . . ,7 (the possible values ofX).
a. Find the p.f. ofX.
b. Find the probability thatXwill be at least 5.
Question: Suppose that the joint p.d.f. of two random variablesXandYis as follows:
\(f\left( {x,y} \right) = \left\{ \begin{array}{l}c\left( {{x^2} + y} \right)\,\,\,\,for\,0 \le y \le 1 - {x^2}\\0\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,otherwise\end{array} \right.\)
Determine (a) the value of the constantc;
\(\begin{array}{l}\left( {\bf{b}} \right)\,{\bf{Pr}}\left( {{\bf{0}} \le {\bf{X}} \le {\bf{1/2}}} \right){\bf{;}}\,\left( {\bf{c}} \right)\,{\bf{Pr}}\left( {{\bf{Y}} \le {\bf{X + 1}}} \right)\\\left( {\bf{d}} \right)\,{\bf{Pr}}\left( {{\bf{Y = }}{{\bf{X}}^{\bf{2}}}} \right)\end{array}\)
Suppose that thenrandom variablesX1, . . . , Xnform a random sample from a continuous distribution for which the p.d.f. isf. Determine the probability that at leastk of thesenrandom variables will lie in a specified intervala≤x≤b.
Let Xbe a random variable with the p.d.f. specified in Example 3.2.6. Compute Pr(X≤8/27).
Question:Suppose that in a certain drug the concentration of aparticular chemical is a random variable with a continuousdistribution for which the p.d.f.gis as follows:
\({\bf{g}}\left( {\bf{x}} \right){\bf{ = }}\left\{ \begin{array}{l}\frac{{\bf{3}}}{{\bf{8}}}{{\bf{x}}^{\bf{2}}}\;{\bf{for}}\;{\bf{0}} \le {\bf{x}} \le {\bf{2}}\\{\bf{0}}\;{\bf{otherwise}}\end{array} \right.\)
Suppose that the concentrationsXandYof the chemicalin two separate batches of the drug are independent randomvariables for each of which the p.d.f. isg. Determine
(a) the joint p.d.f.of X andY;
(b) Pr(X=Y);
(c) Pr(X >Y );
(d) Pr(X+Y≤1).
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