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Oliga [24]
3 years ago
9

A circular disc has an area that measures between 1,650 and 1,700 square inches. What could be the length of its radius? Use 3.1

4 for pie
Mathematics
2 answers:
Aleksandr-060686 [28]3 years ago
7 0

Answer:

According to this description the area A of the disc is:

1650in^{2}

On the other hand, the area of a circumference is given by the following equation:

A=\pi r^{2}   (1)

Where r is the radius.

If we want to know the possible lengths of r for the circular disc, we will have to apply equation (1) for both areas:

For A=1650in^{2}:

1650in^{2}=3.14 r^{2}  

r=\sqrt{\frac{1650in^{2}}{3.14}}  

r=22.91 inches  

For A=1700in^{2}:

1700in^{2}=3.14 r^{2}  

r=\sqrt{\frac{1700in^{2}}{3.14}}  

r=23.26 inches  

Therefore the radius could be 22.91 inches or 23.26 inches

levacccp [35]3 years ago
5 0

<u>Answer:</u>

22.92 inches ≤ r ≤ 23.27 inches

<u>Step-by-step explanation:</u>

We are given that the area of a circular disk has an area measuring between 1650 and 1700 square inches and we are to find the possible length of the its radius.

We know that  the area of a circle is equal is given by \pi r^2.

<u>Finding radius for 1650:</u>

<u>r=\sqrt{\frac{1,650}{3.14}}=22.92\ in</u>

<u>Finding radius for 1700:</u>

r=\sqrt{\frac{1,700}{3.14}}=23.27\ inches

Therefore, 22.92 inches ≤ r ≤ 23.27 inches.

<u />

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Answer:

The interval containing the middle-most 76% of sample means is between 56.24 and 63.76.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

A distribution of values is normal with a mean of 60 and a standard deviation of 16.

This means that \mu = 60, \sigma = 16

Samples of size 25:

This means that n = 25, s = \frac{16}{\sqrt{25}} = 3.2

Find the interval containing the middle-most 76% of sample means.

Between the 50 - (76/2) = 12th percentile and the 50 + (76/2) = 88th percentile.

12th percentile:

X when Z has a p-value of 0.12, so X when Z = -1.175.

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

-1.175 = \frac{X - 60}{3.2}

X - 60 = -1.175*3.2

X = 56.24

88th percentile:

Z = \frac{X - \mu}{s}

1.175 = \frac{X - 60}{3.2}

X - 60 = 1.175*3.2

X = 63.76

The interval containing the middle-most 76% of sample means is between 56.24 and 63.76.

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3 years ago
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Step-by-step explanation:

All you have to do is divide 7 by 12. The fraction 7/12 is equal to 7 ÷ 12.

7 ÷ 12 = 0.583... (repeating 3)

Or if you round, you have 0.58.

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Crank

Answer:

Arranging the numbers in increasing order is 14.200, 14.204, 14.210, 14.240.

Step-by-step explanation:

Given : Numbers 14.204, 14.200, 14.240, 14.210.

To find : Arrange the numbers in increasing order ?

Solution :

Arrange the numbers in increasing order is defined as arranging numbers from the smallest number to the largest number.

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