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kicyunya [14]
3 years ago
9

Find the circumference of a circle with a radius of 35 inches in terms of pie add to the nearest 10th of an inch

Mathematics
2 answers:
vladimir1956 [14]3 years ago
8 0

\overline{ \underline{ \boxed{ \frak{Given  }}}}

Find the circumference of a circle with a radius of 35 inches in terms of pie add to the nearest 10th of an inch

\overline{ \underline{ \boxed{ \frak{Solution}}}}

<u>Given that</u> :

  • Radius = 35 inches

  • π = 3.14

<u>Formula for getting the circumference</u> :

\star \: \underline{ \pink{\boxed{\frak{Circumference_{(Circle)} = 2πr}}}}

Putting the values in the formula we get :

\twoheadrightarrow \frak{Circumference_{(Circle)} = 2 \times 3.14 \times 35 \: in}

\twoheadrightarrow \frak{Circumference_{(Circle)} = 3.14 × 70 in }

\twoheadrightarrow \frak{Circumference_{(Circle)} = 219.8 \: inches}

Henceforth, the circumference is 219.8 inches

But we are given to convert it into the nearest 10th

As 8 > 5

<u>The Circumference of the Circle will be 220 inches</u>

ser-zykov [4K]3 years ago
7 0

Circumference of circle = 2 π r

  • π = 3.14
  • r = 35 inches

Now , Substuting the values

Circumference of circle = 2 × 3.14 × 35

Circumference of circle = 6.28 × 35

Circumference of circle = 219.8 inches

Nearest 10ᵗʰ of 219.8 is <u>220</u>

Hence , the Circumference of circle is 220 Inches.

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Answer:

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We are given that in a test of weight loss programs, 40 randomly selected adults used the Atkins weight loss program.

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Firstly, the pivotal quantity for 90% confidence interval for the true mean is given by;

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<em>Here for constructing 90% confidence interval we have used One-sample t test statistics as we don't know about population standard deviation.</em>

So, 90% confidence interval for the population​ mean, \mu is ;

P(-1.685 < t_3_9 < 1.685) = 0.90  {As the critical value of t at 39 degree

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P(-1.685 < \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } } < 1.685) = 0.90

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P( \bar X-1.685 \times {\frac{s}{\sqrt{n} } } < \mu < \bar X +1.685 \times {\frac{s}{\sqrt{n} } } ) = 0.90

<u>90% confidence interval for</u> \mu = [ \bar X-1.685 \times {\frac{s}{\sqrt{n} } } , \bar X+1.685 \times {\frac{s}{\sqrt{n} } } ]

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Therefore, 90% confidence interval for the true mean weight loss for all such subjects is [0.82 lbs, 3.38 lbs].

<em>Interpretation of this confidence interval is that we are 90% confident that the mean weight loss for all such subjects will lie between 0.82 lbs and 3.38 lbs. </em>

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Answer:

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Answer:

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