Q1: A finite population consists of four elements: {6, 1, 3, 2}.
a.	How many different samples of size n=2 can be selected from this population if you sample without replacement?
b.	List the possible samples of size n=2.
c.	Compute the sample mean for each of the samples given in part b.
d.	Find the sampling distribution of. Use a probability histogram to graph the sampling distribution of.
e.	If all four population values are equally likely, calculate the value of the population mean μ. 

Q2: A finite population consists of four elements: {D, D, N, D}. 
       Where D: Defective, N: None defective.
a.	How many different samples of size n=2 can be selected from this population if you sample without replacement?
b.	List the possible samples of size n=2.
c.	Compute the sample proportion for each of the samples given in part b.
d.	Find the sampling distribution of. Use a probability histogram to graph the sampling distribution of.
e.	If all four population values are equally likely, calculate the value of the population proportion. 

Q3: A random sample of size n =25 is selected from a normal distribution with mean  and standard deviation. Find
1. The sampling distribution of                       2. The value of P(> 10)
3. The value of P(7.9 < < 8.1)                          4. The value of P()
5. The probability that the error of estimation lies within the interval -2 to 3. 

Q4: A random sample of n =500 were selected from a binomail population with p=0.8. 
1) Find the sampling distribution of                  2. Find the value of P(>0.82)
3) Find the value of P(0.83 << 0.88)
4) 99% of the time, the sample proportion would lie between what two limits?

Q5: A random sample of n = 49 observations possessed a mean = 30 and a standard deviation S = 5. Find
1. The point estimator for μ                            2. The margin of error of estimation
3. A 90% confidence interval for  

Q6: A random sample of n =100 from a binomail population produced X = 60 successes. Find
1. The point estimate of P.                               2. The margin of error of estimation
3. A 99 % confidence interval for P.