The number of peanuts in a 16-ounce can of Nut Munchies is normally distributed with a mean of 96.3 and a standard deviation of 2.4 peanuts. The number of peanuts in a 20-ounce can of Gone Nuts is normally distributed with a mean of 112.6 and a standard deviation of 2.8 peanuts. (

a. Carmen purchased a 16-ounce can of Nut Munchies and counted 100 peanuts. What is the z-score for this can of peanuts? (

b. Angelo purchased a 20-ounce can of Gone Nuts and counted 116 peanuts. What is the z-score for this can of peanuts? (

c. Carmen declares that purchasing her can of Nut Munchies with 100 peanuts is less likely than Angelo purchasing a can of Gone Nuts with 116 peanuts. Is Carmen's statement correct? Use the definition of a z-score to support or refute Carmen's claim.

To calculate for the z-score we use the formula:

z = (x-μ) / σ

thus the answers to questions will be as follows:

a] Carmen purchased a 16-ounce can of Nut Munchies and counted 100 peanuts. What is the z-score for this can of peanuts?

x=100

μ=96.3

σ=2.4

z = (100-96.3) / 2.4

z=1.542

b] Angelo purchased a 20-ounce can of Gone Nuts and counted 116 peanuts. What is the z-score for this can of peanuts?

x=116

μ=112.6

σ=2.8

thus

z = (116-112.6) / 2.8

z=1.214

c] Carmen declares that purchasing her can of Nut Munchies with 100 peanuts is less likely than Angelo purchasing a can of Gone Nuts with 116 peanuts. Is Carmen’s statement correct? Use the definition of a z-score to support or refute Carmen’s claim.

This is very correct because because by definition of z-score, Munchies with 100 peanuts is 1.542 away from the mean as compared to Munchies with 116 peanuts which is 1.214 standard deviations from the mean hence the higher likelihood.