The following data have been collected on the number of times that owner-occupied and renter-occupied units had a water supply stoppage lasting or more hours over a -month period.   Number of Units (1,000s) Number of Times Owner Occupied Renter Occupied 0 548   23   1 5,012   541   2 6,110   3,734   3 2,544   8,660   4 times or more 557   3,784     Do not round intermediate calculations. Round your answers to two decimal places. a. Define a random variable  number of times that owner-occupied units had a water supply stoppage lasting  or more hours in the past  months and develop a probability distribution for the random variable. (Let  represent  or more times.) x f(x) 0   1   2   3   4   Total     b. Compute the expected value and variance for x. E(x)   Var(x)     c. Define a random variable  number of times that renter-occupied units had a water supply stoppage lasting  or more hours in the past  months and develop a probability distribution for the random variable. (Let  represent  or more times.) y f(y) 0   1   2   3   4   Total     d. Compute the expected value and variance for y. E(y)   Var(y)

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The following data have been collected on the number of times that owner-occupied and renter-occupied units had a water supply stoppage lasting or more hours over a -month period.

  Number of Units (1,000s)
Number of Times Owner Occupied Renter Occupied
0 548   23  
1 5,012   541  
2 6,110   3,734  
3 2,544   8,660  
4 times or more 557   3,784  

 

Do not round intermediate calculations. Round your answers to two decimal places.

a. Define a random variable  number of times that owner-occupied units had a water supply stoppage lasting  or more hours in the past  months and develop a probability distribution for the random variable. (Let  represent  or more times.)

x f(x)
0  
1  
2  
3  
4  
Total  

 

b. Compute the expected value and variance for x.

E(x)  
Var(x)  

 

c. Define a random variable  number of times that renter-occupied units had a water supply stoppage lasting  or more hours in the past  months and develop a probability distribution for the random variable. (Let  represent  or more times.)

y f(y)
0  
1  
2  
3  
4  
Total  

 

d. Compute the expected value and variance for y.

E(y)  
Var(y)  

 

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