In the U.S., 95% of children have received their DTaP vaccine. Calculate the probability that fewer than 700 out of a sample of LaTeX: n = 750n=750 children received their DTaP vaccine.

Respuesta :

Answer:

0.0183

Step-by-step explanation:

The percentage of students, who received their DTaP vaccine is 95%.

This implies that:

[tex]p = 0.95[/tex]

and

[tex]q = 1 - 0.95 = 0.05[/tex]

The standard deviation of the proportion is

[tex] = \sqrt{ \frac{pq}{n} } [/tex]

[tex] = \sqrt{ \frac{0.95 \times 0.05}{750} } \\ = 0.00796[/tex]

We want to find the probability, that the sample proportion,

[tex] \hat p \leqslant \frac{700}{750} \\ \hat p \leqslant 0.9 \bar3[/tex]

[tex]P(\hat p\le0.9\bar3)=P(Z\le \frac{0.9 \bar3 - 0.95 }{0.00796} ) \\ = P(Z\le - 2.09) \\ = 0.0183[/tex]

Using the normal approximation to the binomial, it is found that there is a 0.0146 = 1.46% probability that fewer than 700 children received their vaccine.

In a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the 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.
  • The binomial distribution is the probability of x successes on n trials, with p probability of a success on each trial. It can be approximated to the normal distribution with [tex]\mu = np, \sigma = \sqrt{np(1-p)}[/tex].

In this problem:

  • 95% of children have received their DTaP vaccine, hence [tex]p = 0.95[/tex]
  • Sample of 750, hence [tex]n = 750[/tex]

For the approximation, the mean and the standard deviation are given by:

[tex]\mu = np = 750(0.95) = 712.5[/tex]

[tex]\sigma = \sqrt{np(1 - p)} = \sqrt{750(0.95)(0.05)} = 5.97[/tex]

Using continuity correction, the probability that fewer than 700 children received their vaccine is P(X < 700 - 0.5) = P(X < 699.5), which is the p-value of Z when X = 669.5.

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

[tex]Z = \frac{699.5 - 712.5}{5.97}[/tex]

[tex]Z = -2.18[/tex]

[tex]Z = -2.18[/tex] has a p-value of 0.0146.

0.0146 = 1.46% probability that fewer than 700 children received their vaccine.

A similar problem is given at https://brainly.com/question/14424710

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