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Vlada [557]
4 years ago
14

A sphere has a radius of 16 in. Which statements about the sphere are true? Check all that apply.

Mathematics
2 answers:
mr_godi [17]4 years ago
7 0

Answer:

The True statements are:

The sphere has a diameter of 32 in.

The radius’s length is one-half the length of the diameter.

The volume of the sphere is StartFraction 16,384 Over 3 EndFraction pi inches cubed.

Step-by-step explanation:

  • The sphere has a diameter of 8 in. False

      This is false because a radius is half of a diameter. Half of      the given diameter of 8 in is 4 in whereas the radius in the question is 16 in.

  • The volume of the sphere is StartFraction 2,048 Over 3 EndFraction pi inches cubed. False

        This is false because the volume of the sphere is 4πr³/3 = (16,384/3) π cubic inches.

  • The sphere has a diameter of 32 in. True

This is True because a radius is half of a diameter. Half of the given diameter of 32 in is 16 in and  the radius in the question is also 16 in.

  • The radius’s length is one-half the length of the diameter. True

This is True because a radius is half of a diameter

  • The volume of the sphere is StartFraction 16,384 Over 3 EndFraction pi inches cubed. True

This is True because the volume of the sphere is 4πr³/3 = (16,384/3) π cubic inches.

  • The diameter’s length is one-half the length of the radius. False

It is the radius’s length that is one-half the length of the diameter

Wewaii [24]4 years ago
6 0

Answer:

  • The sphere has a diameter of 32 in. CORRECT: the diameter of a sphere doubles its radio, so if the radio equals 16,the diameter measures the double, in this case, 32.
  • The radius' lenght is one half the length of the diameter. CORRECT: , by definition, the diameter is the maximum distance between two opposite points on the surface of the sphere, and its lenght equals twice the radius because the radius is the distance between the center of the sphere and any point of the frontier of the sphere (then, one colud imagine that the distance between two opposite points in a sphere can be united by two radius, or a diameter).
  • The volume (V) of a sphere can be calculated as \frac{4\pi r^3}{3}, where r is the radio. In this case, the volume of the sphere will be \frac{4\pi\times16^3}{3}=\frac{4\pi\times4096}{3}, which is also equal to \frac{16384\times\pi}{3}.

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Step-by-step explanation:

One property of a parallelogram is that diagonals bisect each other. This means that it "divides" each other in to two equal parts.

Since FK is 6, that means that KH is also 6.

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3 years ago
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Step-by-step explanation:

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The most recent public health statistics available indicate that 23.6​% of American adults smoke cigarettes. Using the​ 68-95-99
artcher [175]

Answer:

There is a​ 68% chance that between 17​% and 30​% are​ smokers.

There is a​ 95% chance that between 10​% and 37​% are​ smokers.

There is a​ 99.7% chance that between 4​% and 44​% are​ smokers.

Step-by-step explanation:

According to the Central limit theorem, if from an unknown population large samples of sizes <em>n</em> > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.

The mean of the sampling distribution of sample proportion is:

 \mu_{\hat p}=p\\

The standard deviation of the sampling distribution of sample proportion is:

 \sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}

Given:

<em>n</em> = 40

<em>p</em> = 0.236

Compute the mean and standard deviation of this sampling distribution of sample proportion as follows:

\mu_{\hat p}=p=0.236

\sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.236(1-0.236)}{40}}=0.067

The Empirical Rule states that in a normal distribution with mean <em>µ</em> and standard deviation <em>σ</em>, nearly all the data will fall within 3 standard deviations of the mean. The empirical rule can be divided into three parts:

  • 68% data falls within 1 standard-deviation of the mean.  

        That is P (µ - σ ≤ X ≤ µ + σ) = 0.68.

  • 95% data falls within 2 standard-deviations of the mean.

        That is P (µ - 2σ ≤ X ≤ µ + 2σ) = 0.95.

  • 99.7% data falls within 3 standard-deviations of the mean.

        That is P (µ - 3σ ≤ X ≤ µ + 3σ) = 0.997.

Compute the range of values that has a probability of 68% as follows:

P (\mu_{\hat p} - \sigma_{\hat p} \leq  \hat p \leq  \mu_{\hat p} + \sigma_{\hat p}) = 0.68\\P(0.236-0.067\leq  \hat p \leq 0.236+0.067)=0.68\\P(0.169\leq  \hat p \leq0.303)=0.68\\P(0.17\leq  \hat p \leq0.30)=0.68

Thus, there is a​ 68% chance that between 17​% and 30​% are​ smokers.

Compute the range of values that has a probability of 95% as follows:

P (\mu_{\hat p} - 2\sigma_{\hat p} \leq  \hat p \leq  \mu_{\hat p} + 2\sigma_{\hat p}) = 0.95\\P(0.236-2\times 0.067\leq  \hat p \leq 0.236+2\times0.067)=0.95\\P(0.102\leq  \hat p \leq 0.370)=0.95\\P(0.10\leq  \hat p \leq0.37)=0.95

Thus, there is a​ 95% chance that between 10​% and 37​% are​ smokers.

Compute the range of values that has a probability of 99.7% as follows:

P (\mu_{\hat p} - 3\sigma_{\hat p} \leq  \hat p \leq  \mu_{\hat p} + 3\sigma_{\hat p}) = 0.997\\P(0.236-3\times 0.067\leq  \hat p \leq 0.236+3\times0.067)=0.997\\P(0.035\leq  \hat p \leq 0.437)=0.997\\P(0.04\leq  \hat p \leq0.44)=0.997

Thus, there is a​ 99.7% chance that between 4​% and 44​% are​ smokers.

7 0
3 years ago
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