Probability and Statistics Exercises: Discrete and Continuous Random Variables, Exercises of Statistics

discrete and continuous random probabilities and PDF and CDF

Typology: Exercises

2018/2019

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TUTORIAL 3
1. Classify the following random variables as discrete or continuous:
๐‘ฟ: the number of automobile accidents per year in Virginia.
๐’€ : the length of time to play 18 holes of golf.
๐‘ด: the amount of milk produced yearly by a particular cow.
๐‘ต: the number of eggs laid each month by a hen.
๐‘ท: the number of building permits issued each month in a certain city.
๐‘ธ: the weight of grain produced per acre.
2. Determine the value c so that each of the following functions can serve as a probability
distribution of the discrete random variable X:
a. ๐‘“(๐‘ฅ) = ๐‘(๐‘ฅ2 + 4),๐‘“๐‘œ๐‘Ÿ ๐‘ฅ = 0,1,2,3;
b. ๐‘“(๐‘ฅ)=๐‘(2
๐‘ฅ)(3
3โˆ’๐‘ฅ),๐‘“๐‘œ๐‘Ÿ ๐‘ฅ=0,1,2.
3. The shelf life, in days, for bottles of a certain prescribed medicine is a random variable
having the density function
๐‘“(๐‘ฅ)={20000
(๐‘ฅ+100)3, ๐‘ฅ>0
0 , ๐‘œ๐‘กโ„Ž๐‘’๐‘Ÿ๐‘ค๐‘–๐‘ ๐‘’
Find the probability that a bottle of this medicine will have a shell life of
a. at least 200 days;
b. anywhere from 80 to 120 days.
4. The total number of hours, measured in units of 100 hours, that a family runs a vacuum
cleaner over a period of one year is a continuous random variable ๐‘‹ that has the density
function
๐‘“(๐‘ฅ)={ ๐‘ฅ, 0<๐‘ฅ<1
2โˆ’๐‘ฅ, 1โ‰ค๐‘ฅ<2
0, ๐‘’๐‘™๐‘ ๐‘’๐‘คโ„Ž๐‘’๐‘Ÿ๐‘’
Find the probability that over a period of one year, a family runs their vacuum cleaner
a. less than 120 hours;
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TUTORIAL 3

  1. Classify the following random variables as discrete or continuous:

๐‘ฟ: the number of automobile accidents per year in Virginia.

๐’€ : the length of time to play 18 holes of golf.

๐‘ด: the amount of milk produced yearly by a particular cow.

๐‘ต: the number of eggs laid each month by a hen.

๐‘ท: the number of building permits issued each month in a certain city.

๐‘ธ: the weight of grain produced per acre.

  1. Determine the value c so that each of the following functions can serve as a probability

distribution of the discrete random variable X:

a. ๐‘“(๐‘ฅ) = ๐‘(๐‘ฅ

2

b. ๐‘“(๐‘ฅ) = ๐‘(

2

๐‘ฅ

3

3 โˆ’๐‘ฅ

  1. The shelf life, in days, for bottles of a certain prescribed medicine is a random variable

having the density function

3

Find the probability that a bottle of this medicine will have a shell life of

a. at least 200 days;

b. anywhere from 80 to 120 days.

  1. The total number of hours, measured in units of 100 hours, that a family runs a vacuum

cleaner over a period of one year is a continuous random variable ๐‘‹ that has the density

function

Find the probability that over a period of one year, a family runs their vacuum cleaner

a. less than 120 hours;

b. between 50 and 100 hours.

c. Find the average number of hours per year that families run their vacuum

cleaners.

d. Find the variance of ๐‘‹

  1. An investment firm offers its customers municipal bonds that mature after varying

numbers of years. Given that the cumulative distribution function of ๐‘‡, the number of

years to maturity for a randomly selected bond, is

3

4

, 5 โ‰ค๐‘ก< 7

1 , ๐‘ก โ‰ฅ 7

find

a. ๐‘ƒ(๐‘‡ = 5 );

b. ๐‘ƒ(๐‘‡ > 3 );

c. ๐‘ƒ( 1. 4 < ๐‘‡ < 6 );

  1. A shipment of 7 television sets contains 2 defective sets. A hotel makes a random

purchase of 3 of the sets. If ๐‘ฅ is the number of defective sets purchased by the hotel,

find the probability distribution of ๐‘‹. Express the results graphically as a probability

histogram.

  1. The probability distribution of ๐‘‹, the number of imperfections per 10 meters of a

synthetic fabric in continuous rolls of uniform width, is given by

a. Construct the cumulative distribution function of ๐‘‹.

b. Find the average number of imperfections per 10 meters of this fabric.

  1. Let the distribution function of a random variable ๐‘Œ be