A candy company claims that 32% of the jelly beans in its spring mix are pink. Suppose that the candies arepackaged at random in small bags containing about 224 elly beans. A class of students opens several bags, counts the various colors of jelly beans, and calculates the proportion that are pink. Is it appropriate to use a Normal model to describe the distribution of the proportion of pink jelly beans? O A. A Nomal model is appropriate because jelly beans in each bag can be thought of as a random sample of jelly beans and are fewer than 10% of the population of all jelly beans. The success/failure condition is also satisfied because np = 71.7 2 10 and nq 152.3 2 10. O B. A Normal model is not appropriate because the sample size, 224, is larger than 10% of the population of all jelly beans. O C. A Nomal model is appropriate because the samples are random and independent. Also, the sample size, 224, is less than 10% of the population. Most importantly, the original population has a Normal distribution. O D. A Nomal model is not appropriate because the sample size is not large enough to satisfy the success/failure condition. O E. A Normal model is not appropriate because the population distribution is not Normal.

A candy company claims that 32% of the jelly beans in its spring mix are pink. Suppose that the candies arepackaged at random in small bags containing about 224 elly beans. A class of students opens several bags, counts the various colors of jelly beans, and calculates the proportion that are pink. Is it appropriate to use a Normal model to describe the distribution of the proportion of pink jelly beans? O A. A Nomal model is appropriate because jelly beans in each bag can be thought of as a random sample of jelly beans and are fewer than 10% of the population of all jelly beans. The success/failure condition is also satisfied because np = 71.7 2 10 and nq 152.3 2 10. O B. A Normal model is not appropriate because the sample size, 224, is larger than 10% of the population of all jelly beans. O C. A Nomal model is appropriate because the samples are random and independent. Also, the sample size, 224, is less than 10% of the population. Most importantly, the original population has a Normal distribution. O D. A Nomal model is not appropriate because the sample size is not large enough to satisfy the success/failure condition. O E. A Normal model is not appropriate because the population distribution is not Normal.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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