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MrRa [10]
3 years ago
13

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.

Mathematics
2 answers:
professor190 [17]3 years ago
4 0

Answer:

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

Step-by-step explanation:

Download docx
<span class="sg-text sg-text--link sg-text--bold sg-text--link-disabled sg-text--blue-dark"> docx </span>
<span class="sg-text sg-text--link sg-text--bold sg-text--link-disabled sg-text--blue-dark"> docx </span>
hjlf3 years ago
4 0

Complete Question

The complete question is shown on the first uploaded image

Answer:

The mean of p is \mu = 0.5

The standard deviation is  \sigma = 0.025

The probability is  P(p \ge 0.52) = 0.2119

Step-by-step explanation:

From the question

        The proportion of those with IQ over 100 is  p

        The selected sample is  n =400

From the question the mean is of p is

              \mu = 0.50

The standard deviation is  

             \sigma  = \sqrt{\frac{p(1-p)}{n} }

                 = \sqrt{\frac{0.5 *0.5}{400} }

                = 0.025

We are asked to determine

      P(\r p \ge 0.52)

By applying normal approximation

    P(\= p \ge 0.52 )    →    P(Z \ge z)

Where  z = \frac{x - \mu}{\sigma}

          z = \frac{0.52-0.5}{0.025}

             = 0.6

  So the the probability is  

 P(Z \ge 0.8)

We can also look at this probability in this manner

                   P(Z \ge 0.8) = 1- P(Z < 0.8)

From the z table z value of 0.8 is  0.78814

                                      P(Z \ge 0.6)=1- 0.78814

                                                         = 0.2119

             

       

           

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