Chapter 3: Q10 E (page 117)
For the c.d.f. in Example 3.3.4, find the quantile function
F(x)=0 for x <0,
x2/3 for 0≤x≤1,
1 for x >1.
Short Answer
The first quantile is 0.406
The second quantile is 0.631
The third quantile is 0.835
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Chapter 3: Q10 E (page 117)
For the c.d.f. in Example 3.3.4, find the quantile function
F(x)=0 for x <0,
x2/3 for 0≤x≤1,
1 for x >1.
The first quantile is 0.406
The second quantile is 0.631
The third quantile is 0.835
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Suppose that a coin is tossed repeatedly in such a way that heads and tails are equally likely to appear on any given toss and that all tosses are independent, with the following exception: Whenever either three heads or three tails have been obtained on three successive tosses, then the outcome of the next toss is always of the opposite type. At time\(n\left( {n \ge 3} \right)\)let the state of this process be specified by the outcomes on tosses\(n - 2\),\(n - 1\)and n. Show that this process is a Markov chain with stationary transition probabilities and construct the transition matrix.
Question:For the joint pdf in example 3.4.7,determine whether or not X and Y are independent.
Question:Consider the clinical trial of depression drugs in Example2.1.4. Suppose that a patient is selected at random from the 150 patients in that study and we recordY, an indicator of the treatment group for that patient, andX, an indicator of whether or not the patient relapsed. Table 3.3contains the joint p.f. ofXandY.
Response(X) | Treatment Group(Y) | |||
Impramine(1) | Lithium(2) | Combination(3) | Placebo(4) | |
Relapse(0) | 0.120 | 0.087 | 0.146 | 0.160 |
No relapse(1) | 0.147 | 0.166 | 0.107 | 0.067 |
a. Calculate the probability that a patient selected at random from this study used Lithium (either alone or in combination with Imipramine) and did not relapse.
b. Calculate the probability that the patient had a relapse(without regard to the treatment group).
Suppose that\({{\bf{X}}_{\bf{1}}}\)and\({{\bf{X}}_{\bf{2}}}\)are i.i.d. random variables, and that each has the uniform distribution on the interval[0,1]. Evaluate\({\bf{P}}\left( {{{\bf{X}}_{\bf{1}}}^{\bf{2}}{\bf{ + }}{{\bf{X}}_{\bf{2}}}^{\bf{2}} \le {\bf{1}}} \right)\)
Suppose thatnletters are placed at random innenvelopes, as in the matching problem of Sec. 1.10, and letqndenote the probability that no letter is placed in the correct envelope. Show that the probability that exactly one letter is placed in the correct envelope isqn−1.
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