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asambeis [7]
2 years ago
6

Suppose you want to estimate the proportion of traditional college students on your campus who own their own car. From research

on other college​ campuses, you believe the proportion will be near 20​%. What sample size is needed if you wish to be 99​% confident that your estimate is within 0.02 of the true​ proportion?
Mathematics
1 answer:
Lapatulllka [165]2 years ago
5 0

Answer:

2,655 students

Step-by-step explanation:

The z-score for a 99% confidence interval is z = 2.576

The standard error for a proportion p is:

SE = z*\sqrt{\frac{p*(1-p)}{n} }

For a proportion of p =0.20, in order to ensure a standard error of 0.02, the sample size 'n' must be:

0.02 = 2.576*\sqrt{\frac{0.2*(1-0.2)}{n}}\\n=2,654.31

Rounding up to the next whole student, the sample size needed is 2,655 students.

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By the Pythagorean theorem,

x^2=12^2+z^2\\ \\x^2=144+6^2\\ \\x^2=144+36\\ \\x^2=180\\ \\x=6\sqrt{5}

and

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-(m - 6) = 3m + 14<br> Multiply m- 6 by -1
Angelina_Jolie [31]

For this case we have the following equation:

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We apply distributive property on the left side of the equation, taking into account that:

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So:

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