In: Statistics and Probability
The probability of obtaining a random sample mean which is lower than the population mean is
1.00 |
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0 |
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.50 |
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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