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In order to find the 95% confidence interval of the true mean, how large of a sample size would be necessary to be accurate w
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Answer #1

(9)

Sample Size (n) is given by:

n=\frac{Z^{2}_{\alpha /2}\times \sigma ^{2}}{e^{2}}

Given:

\alpha = 0.05

From Table, critical values of Z =\pm 1.96

\sigma = 0.3

e = 0.1

Substituting, we get:

1.962 × 0.32 . 0.12 35 rl

So,

Answer is:

35

(10)

H0: Null Hypothesis: P = 0.20

HA: Alternative Hypothesis: P \neq 0.20

n = Sample Size = 100

P = Population Proportion = 0.20

Q = 1 - P =0.80

SE = VPQ/n = V/0.20 × 0.80/100 = 0.04

p = Sample Proportion = 13/100 = 0.13

Test statistic is given by:
Z = (0.13 - 0.20)/0.04

=- 1.75

Table of Area Under Standard Normal Curve gives area = 0.4599

So,

P value = (0.5 - 0.4599) X 2 = 0.0802

Since P - value = 0.0802 is greater than \alpha = 0.05, the difference is not significant. Fail to reject null hypothesis.

Conclusion:
The data support the claim that 20% of the viewing public watches a certain one of its shows.

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