In: Statistics and Probability
2. The number of chocolate chips in a bag of chocolate chip
cookies is approximately normally distributed with a mean of 1262
chips and a standard deviation of 118 chips
Part (a): About how many percent of the cookie bags are in between
1200 and 1300 chips.
Part (b): Determine the 30th percentile for the number of chocolate
chips in a bag.
Part (c): Determine the minimum number of chocolate chips in a bag
that make up the middle 95 % of bags.
Part (d): Determine the maximum number of chocolate chips in a bag
that make up the middle 97 % of bags.
2)
Solution :
Given that ,
mean = = 1262
standard deviation = = 118
(a)
P(1200 < x < 1300) = P((1200 - 1262) / 118) < (x - ) / < (1300 - 1262) / 118) )
= P(-0.5254 < z < 0.3220)
= P(z < 0.3220) - P(z < -0.5254)
= 0.6263 - 0.2997
= 0.3266
Probability = 0.3266
(b)
P(Z < z) = 0.30
P(Z < -0.52) = 0.30
z = -0.52
Using z-score formula,
x = z * +
x = -0.52 * 118 + 1262 = 1200.64 = 1201
30th percentile = 1201
(c)
The middle 95% has the value : -1.96 and +1.96
x = -1.96 * 118 + 1262 = 1200.64 = 1030.72 = 1031
x = 1.96 * 118 + 1262 = 1200.64 = 1493.28 = 1493
The minimum number of chocolate chips in a bag are : 1031 and 1493
(d)
The middle 95% has the value : -2.17 and +2.17
x = -2.17 * 118 + 1262 = 1200.64 = 1005.94 = 1006
x = 2.17 * 118 + 1262 = 1200.64 = 1518.06 = 1518
The minimum number of chocolate chips in a bag are : 1006 and 1518