A researcher wants to investigate the effects of environmental factors on IQ scores. For an initial study, she takes a sample of people who grew up as the only child. She finds that of them have an IQ score over . It is known that of the general population has an IQ score exceeding . Find the mean of , where is the proportion of people with IQ scores over in a random sample of people. Find the standard deviation of . Compute an approximation for , which is the probability that there will be or more individuals with IQ scores over in a random sample of . Round your answer to four decimal places.

Respuesta :

Answer:

The question is not complete. The full question and the solution is attached in the file below

Step-by-step explanation:

Ver imagen Busiyijide
Ver imagen Busiyijide

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]

             

       

           

Ver imagen okpalawalter8
RELAXING NOICE
Relax