Statistics: Informed Decisions Using Data (4th Edition)

Published by Pearson
ISBN 10: 0321757270
ISBN 13: 978-0-32175-727-2

Chapter 7 - Section 7.4 - Assess Your Understanding - Applying the Concepts - Page 392: 23a

Answer

$P(x = 250) \approx 0.0029$

Work Step by Step

i) Verify that we can use the normal approximation to the binomial $np(1-p) \geq 10$ = $500(0.45)(0.55) \geq$ 10 = $123.75 \geq 10$ Yes, we can use the normal distribution to approximate the binomial. ii) Find mean and standard deviation of the data $\mu = np = 500 \times 0.45 = 225$ $\sigma = \sqrt {np(1-p)} = \sqrt{123.75}$ iii) Want to find $P(x = 250)$ Apply the continuity correction: $P(x = 250)$ = $P(249.5 \leq x \leq 250.5)$ iv) Find $P(249.5 \leq x \leq 250.5)$ Convert 249.5 and 250.5 to z-scores z = $\frac{249.5-225}{\sqrt{123.75}}= 2.20$ z = $\frac{250.5-225}{\sqrt{123.75}}= 2.29$ Therefore, $P(249.5 < x < 250.5)$ = $P(2.20 < z < 2.29)$ $= P(z < 2.29) - P(z < 2.20)$ $= 0.9890 - 0.9861$ $= 0.0029$
Update this answer!

You can help us out by revising, improving and updating this answer.

Update this answer

After you claim an answer you’ll have 24 hours to send in a draft. An editor will review the submission and either publish your submission or provide feedback.