Random variables and density functions


Assignment:

Q1.  A coin is biased so that a head is three times as likely to occur as a tail.  Find the expected number of tails when this coin is tossed twice.

Q2.  An attendant at a car wash is paid according to the number of cars that pass through.  Suppose the probabilities are 1/12, 1/12, ¼, ¼, 1/6, and 1/6, respectively, that the attendant receives $7, $9, $11, $13, $15, or $17 between 4pm and 5pm on any sunny Friday.  Find the attendant’s expected earnings for this particular period.

Q3.  If a dealer’s profit, in units of $5000, on a new automobile can be looked upon as a random variable X having the density function

f(x) =   2(1-x),        0 < x < 1,
             0                 elsewhere

Find the average profit per automobile.

Q4.  What proportion of individuals can be expected to respond to a certain mail-order solicitation if the proportion X has the density function

f(x) =   2(x+2)/5,      0 < x < 1,
             0                  elsewhere

Q5.  Suppose that the probabilities are 0.4, 0.3, 0.2, and 0.1, respectively, that 0, 1, 2 or 3 power failures will strike a certain subdivision in any given year.  Find the mean and variance of the random variable X representing the number of power failures striking this subdivision.

Q6.  The proportion of people who respond to a certain mail-order solicitation is a random variable X having the density function given in #4.  Find the variance of X.

Provide complete and step by step solution for the question and show calculations and use formulas.

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Basic Statistics: Random variables and density functions
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