of lights at which the commuter must stop on his way to work, and X2 be the number of lights at which he must stop when returning from work. Suppose these two variables are independent and identically distributed, each with pmf given in the table below (so X1 and X2 are a random sample of size n= 2). |0|1|2 P(x) | .3 .5 2 Note that µ = 0.9 and o² = .49. (a) Determine the exact pmf of the total number of stops at traffic lights during the commute, To = X1 + X2.

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4. (Sec. 5.3) There are two traffic lights on a commuter's route to and from work. Let X1 be the number
of lights at which the commuter must stop on his way to work, and X2 be the number of lights at which
he must stop when returning from work. Suppose these two variables are independent and identically
distributed, each with pmf given in the table below (so X1 and X2 are a random sample of size n = 2).
01 2
P(x) .3 .5 .2
Note that u = 0.9 and o² = .49.
(a) Determine the exact pmf of the total number of stops at traffic lights during the commute,
To = X1 + X2.
(b) Calculate µT, - How does it relate to µ, the population mean?
(c) Calculate o. How does it relate to o², the population variance?
(d) Let X3 and X, be the number of lights at which a stop is required when driving to and from work
on a second day, assumed independent of the first day. With To =the sum of all four X;'s, what
now are the values of E[T,] and V[To]?
Transcribed Image Text:4. (Sec. 5.3) There are two traffic lights on a commuter's route to and from work. Let X1 be the number of lights at which the commuter must stop on his way to work, and X2 be the number of lights at which he must stop when returning from work. Suppose these two variables are independent and identically distributed, each with pmf given in the table below (so X1 and X2 are a random sample of size n = 2). 01 2 P(x) .3 .5 .2 Note that u = 0.9 and o² = .49. (a) Determine the exact pmf of the total number of stops at traffic lights during the commute, To = X1 + X2. (b) Calculate µT, - How does it relate to µ, the population mean? (c) Calculate o. How does it relate to o², the population variance? (d) Let X3 and X, be the number of lights at which a stop is required when driving to and from work on a second day, assumed independent of the first day. With To =the sum of all four X;'s, what now are the values of E[T,] and V[To]?
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