Many people now turn to the internet to get information on health-related topics. A research article used Flesch reading ease scores (a measure of reading difficulty based on factors such as sentence length and number of syllables in the words used) to score pages on Wikipedia and on WebMD. Higher Flesch scores correspond to more difficult reading levels. The paper reported that for a representative sample of health-related pages on Wikipedia, the mean Flesch score was 26.9 and the standard deviation of the Flesch scores was 14.9. For a representative sample of pages from WebMD, the mean score was 43.7 and the standard deviation was 19.6. Suppose that these means and standard deviations were based on samples of 40 pagesfrom each site. Is there convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD? Test the relevant hypotheses using a significance level of 0.05. (Use μ1 for Wikipedia and μ2 for WebMD.) State the appropriate null and alternative hypotheses. H0: μ1 − μ2 = 0 Ha: μ1 − μ2 > 0 H0: μ1 − μ2 = 0 Ha: μ1 − μ2 ≠ 0 H0: μ1 − μ2 < 0 Ha: μ1 − μ2 = 0 H0: μ1 − μ2 ≠ 0 Ha: μ1 − μ2 = 0 H0: μ1 − μ2 = 0 Ha: μ1 − μ2 < 0 Find the test statistic and P-value. (Use technology to calculate the P-value.Round your test statistic to one decimal place and your P-value to three decimal places.) t= P-value = State the conclusion in the problem context. We fail to reject H0. There is not convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD.We reject H0. There is convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD. We reject H0. There is not convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD.We fail to reject H0. There is convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD.

Many people now turn to the internet to get information on health-related topics. A research article used Flesch reading ease scores (a measure of reading difficulty based on factors such as sentence length and number of syllables in the words used) to score pages on Wikipedia and on WebMD. Higher Flesch scores correspond to more difficult reading levels. The paper reported that for a representative sample of health-related pages on Wikipedia, the mean Flesch score was 26.9 and the standard deviation of the Flesch scores was 14.9. For a representative sample of pages from WebMD, the mean score was 43.7 and the standard deviation was 19.6. Suppose that these means and standard deviations were based on samples of 40 pagesfrom each site. Is there convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD? Test the relevant hypotheses using a significance level of 0.05. (Use μ1 for Wikipedia and μ2 for WebMD.) State the appropriate null and alternative hypotheses. H0: μ1 − μ2 = 0 Ha: μ1 − μ2 > 0 H0: μ1 − μ2 = 0 Ha: μ1 − μ2 ≠ 0 H0: μ1 − μ2 < 0 Ha: μ1 − μ2 = 0 H0: μ1 − μ2 ≠ 0 Ha: μ1 − μ2 = 0 H0: μ1 − μ2 = 0 Ha: μ1 − μ2 < 0 Find the test statistic and P-value. (Use technology to calculate the P-value.Round your test statistic to one decimal place and your P-value to three decimal places.) t= P-value = State the conclusion in the problem context. We fail to reject H0. There is not convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD.We reject H0. There is convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD. We reject H0. There is not convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD.We fail to reject H0. There is convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD.

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Description: Many people now turn to the internet to get information on health-related topics. A research article used Flesch reading ease scores (a measure of reading difficulty based on factors such as sentence length and number of syllables in the words used)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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State the appropriate null and alternative hypotheses.

H₀: μ₁ − μ₂ = 0

H_a: μ₁ − μ₂ > 0

H₀: μ₁ − μ₂ = 0

H_a: μ₁ − μ₂ ≠ 0

H₀: μ₁ − μ₂ < 0

H_a: μ₁ − μ₂ = 0

H₀: μ₁ − μ₂ ≠ 0

H_a: μ₁ − μ₂ = 0

H₀: μ₁ − μ₂ = 0

H_a: μ₁ − μ₂ < 0

Find the test statistic and P-value. (Use technology to calculate the P-value.Round your test statistic to one decimal place and your P-value to three decimal places.)

t= P-value =

State the conclusion in the problem context.

We fail to reject H₀. There is not convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD.We reject H₀. There is convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD. We reject H₀. There is not convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD.We fail to reject H₀. There is convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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