Steven K. answered 05/05/20
Statistics and Probability Tutor with Masters in Data Science
First we need to name some of the variables we are given:
n = 38 the sample size
x = 6.88 the sample mean
𝝈 = 1.86 the population standard deviation
We need to find a 90% confidence interval for the mean price per 100 lbs of watermelon:
𝞪 = 1-.90 = .10
𝞪/2 = .05
z(𝞪/2) = -1.64
-z(𝞪/2) = 1.64
This can give us a probability expression:
P(-1.645 < z < 1.645) = .90
The margin of error is calculated with the formula: E = z(𝞪/2)(𝝈/√n)
E = 1.645(1.86/√38) = $.4963(300) = $148.89
Then to calculate the upper and lower limit we add and subtract E from x:
lower limit = 6.88 - .4963 = $7.38(300) = $2214
upper limit = 6.88 + .4963 = $6.38(300) = $1914
Note: We multiply the E, upper and lower limits by 300 because 15 tons is 30000lbs and we need the price per 100 lbs, so we divide 30000/100 and get 300.