In: Statistics and Probability
The probability of obtaining a random sample mean which is lower than the population mean is
| 
 1.00  | 
||
| 
 0  | 
||
| 
 .50  | 
||
| 
 none of these, since a sample mean can never be lower than a population mean  | 
Solution:
The probability of obtaining a random sample mean which is lower than the population mean is
0.50
(3rd option is correct)
Explanation:
Solution:
Suppose 
 be the population mean and 
 be the population SD
Suppose that a sample of size n is taken from this population.
Let 
 be the mean of sample.
The sampling distribution of the 
 is approximately normal with
Mean 
 = 
  
SD 
 =    
  
Now ,
P( sample mean is lower than the population mean)
= P(
< 
)
= P[(
- 
)/
< (
- 
)/
]
= P(Z < 0.00)
= 0.50
Z is the standard normal variate. Use z table to find P(Z < 0.00)
Answer : 0.50