The mean number of eggs per person eaten in the United States is 253. Do college students eat less eggs than the average American? The 69 college students surveyed averaged 230 eggs per person and their standard deviation was 78.3. What can be concluded at the αα = 0.01 level of significance? For this study, we should use Select an answer t-test for a population mean z-test for a population proportion The null and alternative hypotheses would be: H0:H0: ? μ p Select an answer ≠ > < = H1:H1: ? μ p Select an answer > < ≠ = The test statistic ? t z = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is ? ≤ > αα Based on this, we should Select an answer reject fail to reject accept the null hypothesis. Thus, the final conclusion is that ... The data suggest that the population mean is not significantly less than 253 at αα = 0.01, so there is statistically insignificant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 253. The data suggest that the sample mean is not significantly less than 253 at αα = 0.01, so there is statistically insignificant evidence to conclude that the sample mean number of eggs consumed by college students per year is less than 230. The data suggest that the populaton mean is significantly less than 253 at αα = 0.01, so there is statistically significant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 253. Interpret the p-value in the context of the study. There is a 0.86496357% chance that the population mean number of eggs consumed by college students per year is less than 253. If the population mean number of eggs consumed by college students per year is 253 and if another 69 students are surveyed then there would be a 0.86496357% chance that the population mean number of eggs consumed by college students per year would be less than 253. There is a 0.86496357% chance of a Type I error. If the population mean number of eggs consumed by college students per year is 253 and if another 69 college students are surveyed then there would be a 0.86496357% chance that the sample mean for these 69 students surveyed would be less than 230. Interpret the level of significance in the context of the study. If the population population mean number of eggs consumed by college students per year is less than 253 and if another 69 college students are surveyed then there would be a 1% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is equal to 253. There is a 1% chance that the population mean number of eggs consumed by college students per year is less than 253. If the population mean number of eggs consumed by college students per year is 253 and if another 69 college students are surveyed then there would be a 1% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is less than 253. There is a 1% chance that you will find the chicken that lays the golden eggs.

The mean number of eggs per person eaten in the United States is 253. Do college students eat less eggs than the average American? The 69 college students surveyed averaged 230 eggs per person and their standard deviation was 78.3. What can be concluded at the αα = 0.01 level of significance? For this study, we should use Select an answer t-test for a population mean z-test for a population proportion The null and alternative hypotheses would be: H0:H0: ? μ p Select an answer ≠ > < = H1:H1: ? μ p Select an answer > < ≠ = The test statistic ? t z = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is ? ≤ > αα Based on this, we should Select an answer reject fail to reject accept the null hypothesis. Thus, the final conclusion is that ... The data suggest that the population mean is not significantly less than 253 at αα = 0.01, so there is statistically insignificant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 253. The data suggest that the sample mean is not significantly less than 253 at αα = 0.01, so there is statistically insignificant evidence to conclude that the sample mean number of eggs consumed by college students per year is less than 230. The data suggest that the populaton mean is significantly less than 253 at αα = 0.01, so there is statistically significant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 253. Interpret the p-value in the context of the study. There is a 0.86496357% chance that the population mean number of eggs consumed by college students per year is less than 253. If the population mean number of eggs consumed by college students per year is 253 and if another 69 students are surveyed then there would be a 0.86496357% chance that the population mean number of eggs consumed by college students per year would be less than 253. There is a 0.86496357% chance of a Type I error. If the population mean number of eggs consumed by college students per year is 253 and if another 69 college students are surveyed then there would be a 0.86496357% chance that the sample mean for these 69 students surveyed would be less than 230. Interpret the level of significance in the context of the study. If the population population mean number of eggs consumed by college students per year is less than 253 and if another 69 college students are surveyed then there would be a 1% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is equal to 253. There is a 1% chance that the population mean number of eggs consumed by college students per year is less than 253. If the population mean number of eggs consumed by college students per year is 253 and if another 69 college students are surveyed then there would be a 1% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is less than 253. There is a 1% chance that you will find the chicken that lays the golden eggs.

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Description: The mean number of eggs per person eaten in the United States is 253. Do college students eat less eggs than the average American? The 69 college students surveyed averaged 230 eggs per person and their standard deviation was 78.3. What can be conclu

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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For this study, we should use Select an answer t-test for a population mean z-test for a population proportion
The null and alternative hypotheses would be:

H0:H0: ? μ p Select an answer ≠ > < =

H1:H1: ? μ p Select an answer > < ≠ =

The test statistic ? t z = (please show your answer to 3 decimal places.)
The p-value = (Please show your answer to 4 decimal places.)
The p-value is ? ≤ > αα
Based on this, we should Select an answer reject fail to reject accept the null hypothesis.
Thus, the final conclusion is that ...
- The data suggest that the population mean is not significantly less than 253 at αα = 0.01, so there is statistically insignificant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 253.
- The data suggest that the sample mean is not significantly less than 253 at αα = 0.01, so there is statistically insignificant evidence to conclude that the sample mean number of eggs consumed by college students per year is less than 230.
- The data suggest that the populaton mean is significantly less than 253 at αα = 0.01, so there is statistically significant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 253.
Interpret the p-value in the context of the study.
- There is a 0.86496357% chance that the population mean number of eggs consumed by college students per year is less than 253.
- If the population mean number of eggs consumed by college students per year is 253 and if another 69 students are surveyed then there would be a 0.86496357% chance that the population mean number of eggs consumed by college students per year would be less than 253.
- There is a 0.86496357% chance of a Type I error.
- If the population mean number of eggs consumed by college students per year is 253 and if another 69 college students are surveyed then there would be a 0.86496357% chance that the sample mean for these 69 students surveyed would be less than 230.
Interpret the level of significance in the context of the study.
- If the population population mean number of eggs consumed by college students per year is less than 253 and if another 69 college students are surveyed then there would be a 1% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is equal to 253.
- There is a 1% chance that the population mean number of eggs consumed by college students per year is less than 253.
- If the population mean number of eggs consumed by college students per year is 253 and if another 69 college students are surveyed then there would be a 1% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is less than 253.
- There is a 1% chance that you will find the chicken that lays the golden eggs.

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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