Suppose that from past data a professor knows that the test score of a typical student taking their final examination is a normal random variable with mean 73 and standard deviation 10. (a) If 5 students are selected at random, what is the probability that their sample average grade will be within 3 of 73? (b) What is the minimum number of students that need to take the exami- nation to ensure, with probability at least 0.95, that the class average would be within 3 of 73?
a)
for normal distribution z score =(X-μ)/σ | |
here mean= μ= | 73 |
std deviation =σ= | 10.0000 |
sample size =n= | 5 |
std error=σx̅=σ/√n= | 4.4721 |
probability that their sample average grade will be within 3 of 73 :
probability = | P(70<X<76) | = | P(-0.67<Z<0.67)= | 0.7486-0.2514= | 0.4972 |
b)
for 95 % CI value of z= | 1.960 |
standard deviation σ= | 10.00 |
margin of error E = | 3 |
required sample size n=(zσ/E)2 = | 43.0 |
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