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.