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defon
3 years ago
15

Approximately 19% of physics majors in the US are women. To test whether your college differs significantly from the national av

erage, you take a random sample of 50 physics majors at your college and find that 11 are female. Calculate the appropriate test statistic to determine whether your college differs significantly from the national rate
Mathematics
1 answer:
faltersainse [42]3 years ago
5 0

Testing the hypothesis, it is found that the appropriate test statistic is z = 0.54.

At the null hypothesis, it is <u>tested if the proportion of women physics majors in your college is the same as the national average of 19%</u>, that is:

H_0: p = 0.19

At the alternative hypothesis, it is <u>tested if the proportion is different</u>, that is:

H_1: p \neq 0.19

The test statistic is given by:

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

In which:

  • \overline{p} is the sample proportion.
  • p is the proportion tested at the null hypothesis.
  • n is the sample size.

For this problem, the parameters are:

p = 0.19, n = 50, \overline{p} = \frac{11}{50} = 0.22

Hence, the value of the <u>test statistic</u> is:

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

z = \frac{0.22 - 0.19}{\sqrt{\frac{0.19(0.81)}{50}}}

z = 0.54

A similar problem is given at brainly.com/question/24166849

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2 years ago
Find the distance between each set of points. Round to the nearest tenth, when necessary. (-3, 2) and (1, -6)
vovangra [49]

Answer:

<h2>The answer is 8.9 units</h2>

Step-by-step explanation:

The distance between two points can be found by using the formula

d =  \sqrt{ ({x1 - x2})^{2} +  ({y1 - y2})^{2}  } \\

where

(x1 , y1) and (x2 , y2) are the points

From the question the points are

(-3, 2) and (1, -6)

The distance between them is

d =   \sqrt{ ({ - 3 - 1})^{2}  +  ({2 + 6})^{2} }   \\  =  \sqrt{ ({ - 4})^{2} +  {8}^{2}  }  \\  =  \sqrt{16 + 64}  \\  =  \sqrt{80}  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \\  = 4 \sqrt{5}  \:  \:  \:  \:  \:  \:  \:  \:  \:  \:  \\  = 8.9442719...

We have the final answer as

8.9 units to the nearest tenth

Hope this helps you

6 0
3 years ago
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