Suppose that 76% of americans prefer coke to pepsi. A sample of 27 was taken. What is the probability that less than sixty percent of the sample prefers coke to pepsi?

Respuesta :

Answer:

0.0403

Step-by-step explanation:

Given that 76% of americans prefer coke to pepsi.

Let x be the number of people who prefers coke to pepsi.

X is binomial as each trial is independent, and there are only two outcomes.

A sample of 27 was taken.

We have to find the probability that  less than sixty percent of the sample prefers coke to pepsi

60% of 27 = [tex]27(0.6) = 16.2[/tex]

Required probability = [tex]P(X<16.2) \\=P(X\leq 16)\\\Sigma^16_{r=0} 27Cr(0.76)^r (0.24)^{27-r}[/tex]

Hence prob=0.0403

Using the normal distribution and the central limit theorem, it is found that there is a 0.0256 = 2.56% probability that less than sixty percent of the sample prefers coke to Pepsi.

Normal Probability Distribution

In a normal distribution with mean [tex]\mu[/tex]standard deviation [tex]\sigma[/tex]z-score of a measure X is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

  • It measures how many standard deviations the measure is from the mean.
  • After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.
  • By the Central Limit Theorem, for a proportion p in a sample of size n, the sampling distribution of sample proportion is approximately normal with mean [tex]\mu = p[/tex] and standard deviation [tex]s = \sqrt{\frac{p(1 - p)}{n}}[/tex].

In this problem:

  • 76% of Americans prefer coke to Pepsi, hence p = 0.76.
  • A sample of 27 is taken, hence n = 27.

The mean and the standard error are given by:

[tex]\mu = p = 0.76[/tex]

[tex]s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.76(0.24)}{27}} = 0.0822[/tex]

The probability that less than sixty percent of the sample prefers coke to Pepsi is the p-value of Z when X = 0.6, hence:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

By the Central Limit Theorem

[tex]Z = \frac{X - \mu}{s}[/tex]

[tex]Z = \frac{0.6 - 0.76}{0.0822}[/tex]

[tex]Z = -1.95[/tex]

[tex]Z = -1.95[/tex] has a p-value of 0.0256.

0.0256 = 2.56% probability that less than sixty percent of the sample prefers coke to Pepsi.

To learn more about the normal distribution and the central limit theorem, you can take a look at https://brainly.com/question/24663213

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