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jolli1 [7]
3 years ago
11

A data set includes 106 body temperatures of healthy adult humans having a mean of 98.9 degrees F and a standard deviation of 0.

62 degrees F. Construct a 99 % confidence interval estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6 degrees F as the mean body temperature? What is the confidence interval estimate of the population mean? Round to three decimal places as needed.
Mathematics
1 answer:
barxatty [35]3 years ago
7 0

Answer:

Step-by-step explanation:

Sample mean x bar = 98.9

Std dev s = 0.62

Sample size n = 106

Std error = \frac{s}{\sqrt{n} } =0.0602

Since population std deviation not known we can use t critical value.

t critical for 99% with df = 105 is 1.98

Margin of error = ±1.98(0.0602) =±0.1192

Confidence interval for sample mean = (98.9±0.1192)

=(98.781, 99.019)

2) Sample mean confidence interval suggests that sample mean is different  from the population since 98.6 is not contained in the confidence interval.

3) Population interval confidence mean would be

98.6±0.1192

=(98.4808, 98.7192)

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If s is an increasing function, and t is a decreasing function, find Cs(X),t(Y ) in terms of CX,Y .
Sedbober [7]

Answer:

C(X,Y)(a,b)=1−C(s(X),t(Y))(a,1−b).

Step-by-step explanation:

Let's introduce the cumulative distribution of (X,Y), X and Y :

F(X,Y)(x,y)=P(X≤x,Y≤y)

  • FX(x)=P(X≤x)
  • FY(y)=P(Y≤y).

Likewise for (s(X),t(Y)), s(X) and t(Y) :

F(s(X),t(Y))(u,v)=P(s(X)≤u

  • t(Y)≤v)
  • Fs(X)(u)=P(s(X)≤u)
  • Ft(Y)(v)=P(t(Y)≤v).

Now, First establish the relationship between F(X,Y) and F(s(X),t(Y)) :

F(X,Y)(x,y)=P(X≤x,Y≤y)=P(s(X)≤s(x),t(Y)≥t(y))

The last step is obtained by applying the functions s and t since s preserves order and t reverses it.

This can be further transformed into

F(X,Y)(x,y)=1−P(s(X)≤s(x),t(Y)≤t(y))=1−F(s(X),t(Y))(s(x),t(y))

Since our random variables are continuous, we assume that the difference between t(Y)≤t(y) and t(Y)<t(y)) is just a set of zero measure.

Now, to transform this into a statement about copulas, note that

C(X,Y)(a,b)=F(X,Y)(F−1X(a), F−1Y(b))

Thus, plugging x=F−1X(a) and y=F−1Y(b) into our previous formula,

we get

F(X,Y)(F−1X(a),F−1Y(b))=1−F(s(X),t(Y))(s(F−1X(a)),t(F−1Y(b)))

The left hand side is the copula C(X,Y), the right hand side still needs some work.

Note that

Fs(X)(s(F−1X(a)))=P(s(X)≤s(F−1X(a)))=P(X≤F−1X(a))=FX(F−1X(a))=a

and likewise

Ft(Y)(s(F−1Y(b)))=P(t(Y)≤t(F−1Y(b)))=P(Y≥F−1Y(b))=1−FY(F−1Y(b))=1−b

Combining all results we obtain for the relationship between the copulas

C(X,Y)(a,b)=1−C(s(X),t(Y))(a,1−b).

7 0
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Answer:

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Step-by-step explanation:

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Step-by-step explanation:

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