question 4\nbirths are approximately uniformly distributed between the 52 weeks of the year. they can be…

question 4\nbirths are approximately uniformly distributed between the 52 weeks of the year. they can be said to follow a uniform distribution from 1 to 53 (a spread of 52 weeks). round answers to 4 decimal places when possible.\na. the mean of this distribution is \nb. the standard deviation is \nc. the probability that a person will be born at the exact moment that week 42 begins is p(x = 42) =\nd. the probability that a person will be born between weeks 11 and 38 is p(11 < x < 38) =\ne. the probability that a person will be born after week 31 is p(x > 31) =\nf. p(x > 18 | x < 35) =\ng. find the 28th percentile.\nh. find the minimum for the upper quartile.

question 4\nbirths are approximately uniformly distributed between the 52 weeks of the year. they can be said to follow a uniform distribution from 1 to 53 (a spread of 52 weeks). round answers to 4 decimal places when possible.\na. the mean of this distribution is \nb. the standard deviation is \nc. the probability that a person will be born at the exact moment that week 42 begins is p(x = 42) =\nd. the probability that a person will be born between weeks 11 and 38 is p(11 < x < 38) =\ne. the probability that a person will be born after week 31 is p(x > 31) =\nf. p(x > 18 | x < 35) =\ng. find the 28th percentile.\nh. find the minimum for the upper quartile.

Answer

Explanation:

Step1: Recall mean formula for uniform distribution

For a uniform distribution $U(a,b)$, the mean $\mu=\frac{a + b}{2}$. Here $a = 1$ and $b=52$, so $\mu=\frac{1+52}{2}=26.5$.

Step2: Recall standard - deviation formula for uniform distribution

The standard deviation $\sigma=\sqrt{\frac{(b - a)^2}{12}}$. Substituting $a = 1$ and $b = 52$, we have $\sigma=\sqrt{\frac{(52 - 1)^2}{12}}=\sqrt{\frac{51^2}{12}}=\sqrt{\frac{2601}{12}}\approx14.9145$.

Step3: Probability at a single point for continuous distribution

For a continuous uniform distribution, the probability at a single point is $0$. So $P(x = 42)=0$.

Step4: Calculate $P(11\lt x\lt38)$

The probability density function of a uniform distribution $U(a,b)$ is $f(x)=\frac{1}{b - a}$ for $a\leq x\leq b$. Here $f(x)=\frac{1}{52 - 1}=\frac{1}{51}$. Then $P(11\lt x\lt38)=\frac{38 - 11}{52 - 1}=\frac{27}{51}\approx0.5294$.

Step5: Calculate $P(x\gt31)$

$P(x\gt31)=\frac{52 - 31}{52 - 1}=\frac{21}{51}\approx0.4118$.

Step6: Calculate $P(x\gt18|x\lt35)$

Using the formula for conditional probability $P(A|B)=\frac{P(A\cap B)}{P(B)}$. Here $A={x\gt18}$ and $B = {x\lt35}$, so $A\cap B={18\lt x\lt35}$. Then $P(x\gt18|x\lt35)=\frac{35 - 18}{35 - 1}=\frac{17}{34}=0.5$.

Step7: Find the 28th percentile

Let the 28th percentile be $k$. We use the formula $P(x\lt k)=0.28$. Since $P(x\lt k)=\frac{k - 1}{52 - 1}$, then $\frac{k - 1}{51}=0.28$, and $k=1+0.28\times51=1 + 14.28 = 15.28$.

Step8: Find the minimum for the upper quartile

The upper quartile is the 75th percentile. Let it be $q$. Using the formula $P(x\lt q)=\frac{q - 1}{52 - 1}=0.75$. Then $q=1+0.75\times51=1 + 38.25 = 39.25$.

Answer:

a. $26.5000$ b. $14.9145$ c. $0.0000$ d. $0.5294$ e. $0.4118$ f. $0.5000$ g. $15.2800$ h. $39.2500$