Respuesta :
Answer:
The question is not complete. The full question and the solution is attached in the file below
Step-by-step explanation:
Complete Question
The complete question is shown on the first uploaded image
Answer:
The mean of p is [tex]\mu = 0.5[/tex]
The standard deviation is [tex]\sigma = 0.025[/tex]
The probability is [tex]P(p \ge 0.52) = 0.2119[/tex]
Step-by-step explanation:
From the question
The proportion of those with IQ over 100 is p
The selected sample is [tex]n =400[/tex]
From the question the mean is of p is
[tex]\mu = 0.50[/tex]
The standard deviation is
[tex]\sigma = \sqrt{\frac{p(1-p)}{n} }[/tex]
[tex]= \sqrt{\frac{0.5 *0.5}{400} }[/tex]
[tex]= 0.025[/tex]
We are asked to determine
[tex]P(\r p \ge 0.52)[/tex]
By applying normal approximation
[tex]P(\= p \ge 0.52 )[/tex] → [tex]P(Z \ge z)[/tex]
Where [tex]z = \frac{x - \mu}{\sigma}[/tex]
[tex]z = \frac{0.52-0.5}{0.025}[/tex]
= 0.6
So the the probability is
[tex]P(Z \ge 0.8)[/tex]
We can also look at this probability in this manner
[tex]P(Z \ge 0.8) = 1- P(Z < 0.8)[/tex]
From the z table z value of 0.8 is 0.78814
[tex]P(Z \ge 0.6)=1- 0.78814[/tex]
[tex]= 0.2119[/tex]

