In: Statistics and Probability
A small university knows the average amount that its students spend on lunch each day. The amount spent on lunches for the population of 500 students is not highly skewed and has a mean of $8 and a standard deviation of $2. Suppose simple random sample of 49 students is taken, what is the probability that the sample mean for the sample of 49 students will be between $7.50 and $8.50?
Solution :
Given that ,
mean = = 8
standard deviation = = 2
n = 49
= 8
= / n= 2/ 49 =0.29
P(7.50< <8.50 ) = P[(7.50-8) / 0.29< ( - ) / < (8.50-8) /0.29 )]
= P( -1.72< Z <1.72 )
= P(Z <1.72 ) - P(Z <-1.72 )
Using z table
=0.9573-0.0427
=0.9146
probability= 0.9146