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