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OlgaM077 [116]
2 years ago
13

WILL GIVE BRAINLIEST The kilopascal is a unit of measure for atmospheric pressure. Suppose the atmospheric air pressure at sea l

evel is about 101 kilopascals. For every​ 1000-m increase in​ altitude, the pressure decreases about 11.9​%. What is the approximate pressure at an altitude of 2000 ​m?
Mathematics
1 answer:
MrMuchimi2 years ago
3 0

Answer:

The formula to calculate pressure at an altitude in this case is:

P = original pressure x (1 + rate of change)^(number of changing)

in which,

original pressure = 101 kilopascals

rate of change = -11.9% = - 0.119

number of changing = 2000/1000 = 2

=> P = 101 x (1 - 0.119)^2 = 78.39 kilopascals

Hope this helps!

:)

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g In a certain rural county, a public health researcher spoke with 111 residents 65-years or older, and 28 of them had obtained
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95% confidence interval for the percent of the 65-plus population that were getting the flu shot is [0.169 , 0.331].

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We are given that in a certain rural county, a public health researcher spoke with 111 residents 65-years or older, and 28 of them had obtained a flu shot.

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                          P.Q. =  \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion of residents 65-years or older who had obtained a flu shot = \frac{28}{111} = 0.25

          n = sample of residents 65-years or older = 111

          p = population proportion of residents who were getting the flu shot

<em>Here for constructing 95% confidence interval we have used One-sample z test for proportions.</em>

<u>So, 95% confidence interval for the population proportion, p is ;</u>

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P(-1.96 < \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < 1.96) = 0.95

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P( \hat p-1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < p < \hat p+1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.95

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   = [ 0.25-1.96 \times {\sqrt{\frac{0.25(1-0.25)}{111} } } , 0.25+1.96 \times {\sqrt{\frac{0.25(1-0.25)}{111} } } ]

   = [0.169 , 0.331]

Therefore, 95% confidence interval for the percent of the 65-plus population that were getting the flu shot is [0.169 , 0.331].

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