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ikadub [295]
4 years ago
8

An article reported that the mean annual adult consumption of wine was 3.85 gallons and that the standard deviation was 6.07 gal

lons. Would you use the empirical rule to approximate the proportion of adults who consume more than 9.92 gallons (i.E., the proportion of adults whose consumption value exceeds the mean by more than 1 standard deviation)? Explain your reasoning. (Round your numerical answer to three decimal places.)
Mathematics
1 answer:
Komok [63]4 years ago
5 0

Answer:

0.159 is the required proportion.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 3.85 gallons

Standard Deviation, σ = 6.07 gallons

We are given that the distribution of consumption of wine is a bell shaped distribution that is a normal distribution.

Empirical Formula:

  • Almost all the data lies within three standard deviation from the mean for a normally distributed data.
  • About 68.2% of data lies within one standard deviation from the mean.
  • About 95% of data lies within two standard deviations of the mean.
  • About 99.7% of data lies within three standard deviation of the mean.

We have to evaluate:

=P(x \geq 9.92)\\=P(x \geq \mu + 1(\sigma))\\=0.5 - \dfrac{1}{2}(0.68.2)\\\\=0.5 - 0.34\\=0.159

0.159 is the proportion of adults whose consumption value exceeds the mean by more than 1 standard deviation.

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Answer:

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b. The sample distribution will be normal in shape and will be centered at the average u, . standard deviation will be ∅/\sqrt{n}1

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Step-by-step explanation:

A sample is chosen randomly from a population that was strongly skewed to the left. a) Describe the sampling distribution model for the sample mean if the sample size is small. b) If we make the sample larger, what happens to the sampling distribution model’s shape, center, and spread? c) As we make the sample larger, what happens to the expected distribution of the data in the sample?

The following answers will march the questions above:

a. The sampling distribution for the sample mean will be skewed to the left centered at the average u, and standard deviation will be  ∅/\sqrt{n}

b. The sample distribution will be normal in shape and will be centered at the average u, . standard deviation will be ∅/\sqrt{n}1

c. As the size of the sample increases, the sample distribution should draw near  and resemble the distribution of the population

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