The mean number of eggs per person eaten in the United States is 224. Do college students eat less eggs than the average American? The 46 college students surveyed averaged 205 eggs per person and their standard deviation was 61.4. What can be concluded at the αα = 0.05 level of significance? For this study, we should use Select an answer z-test for a population proportion or t-test for a population mean? T-test The null and alternative hypotheses would be: H0:H0: ? μ p Select an answer = > ≠ < = H1:H1: ? p μ Select an answer > = ≠ < < The test statistic ? t = (please show your answer to 3 decimal places.) -2.099 The p-value = (Please show your answer to 4 decimal places.) 0.0207 The p-value is ? ≤ > αα < Based on this, we should Select an answer fail to reject, accept or reject the null hypothesis. Reject Thus, the final conclusion is that ... The data suggest that the population mean is not significantly less than 224 at αα = 0.05, so there is statistically insignificant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 224. The data suggest that the populaton mean is significantly less than 224 at αα = 0.05, so there is statistically significant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 224. The data suggest that the sample mean is not significantly less than 224 at αα = 0.05, so there is statistically insignificant evidence to conclude that the sample mean number of eggs consumed by college students per year is less than 205. Interpret the p-value in the context of the study. There is a 2.07401886% chance that the population mean number of eggs consumed by college students per year is less than 224. There is a 2.07401886% chance of a Type I error. If the population mean number of eggs consumed by college students per year is 224 and if another 46 college students are surveyed then there would be a 2.07401886% chance that the sample mean for these 46 students surveyed would be less than 205. If the population mean number of eggs consumed by college students per year is 224 and if another 46 students are surveyed then there would be a 2.07401886% chance that the population mean number of eggs consumed by college students per year would be less than 224. Interpret the level of significance in the context of the study. There is a 5% chance that you will find the chicken that lays the golden eggs. There is a 5% chance that the population mean number of eggs consumed by college students per year is less than 224. If the population mean number of eggs consumed by college students per year is 224 and if another 46 college students are surveyed then there would be a 5% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is less than 224. If the population population mean number of eggs consumed by college students per year is less than 224 and if another 46 college students are surveyed then there would be a 5% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is equal to 224.

The mean number of eggs per person eaten in the United States is 224. Do college students eat less eggs than the average American? The 46 college students surveyed averaged 205 eggs per person and their standard deviation was 61.4. What can be concluded at the αα = 0.05 level of significance? For this study, we should use Select an answer z-test for a population proportion or t-test for a population mean? T-test The null and alternative hypotheses would be: H0:H0: ? μ p Select an answer = > ≠ < = H1:H1: ? p μ Select an answer > = ≠ < < The test statistic ? t = (please show your answer to 3 decimal places.) -2.099 The p-value = (Please show your answer to 4 decimal places.) 0.0207 The p-value is ? ≤ > αα < Based on this, we should Select an answer fail to reject, accept or reject the null hypothesis. Reject Thus, the final conclusion is that ... The data suggest that the population mean is not significantly less than 224 at αα = 0.05, so there is statistically insignificant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 224. The data suggest that the populaton mean is significantly less than 224 at αα = 0.05, so there is statistically significant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 224. The data suggest that the sample mean is not significantly less than 224 at αα = 0.05, so there is statistically insignificant evidence to conclude that the sample mean number of eggs consumed by college students per year is less than 205. Interpret the p-value in the context of the study. There is a 2.07401886% chance that the population mean number of eggs consumed by college students per year is less than 224. There is a 2.07401886% chance of a Type I error. If the population mean number of eggs consumed by college students per year is 224 and if another 46 college students are surveyed then there would be a 2.07401886% chance that the sample mean for these 46 students surveyed would be less than 205. If the population mean number of eggs consumed by college students per year is 224 and if another 46 students are surveyed then there would be a 2.07401886% chance that the population mean number of eggs consumed by college students per year would be less than 224. Interpret the level of significance in the context of the study. There is a 5% chance that you will find the chicken that lays the golden eggs. There is a 5% chance that the population mean number of eggs consumed by college students per year is less than 224. If the population mean number of eggs consumed by college students per year is 224 and if another 46 college students are surveyed then there would be a 5% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is less than 224. If the population population mean number of eggs consumed by college students per year is less than 224 and if another 46 college students are surveyed then there would be a 5% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is equal to 224.

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Description: The mean number of eggs per person eaten in the United States is 224. Do college students eat less eggs than the average American? The 46 college students surveyed averaged 205 eggs per person and their standard deviation was 61.4. What can be conclu

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

H0:H0: ? μ p Select an answer = > ≠ < =

H1:H1: ? p μ Select an answer > = ≠ < <

The test statistic ? t = (please show your answer to 3 decimal places.) -2.099
The p-value = (Please show your answer to 4 decimal places.) 0.0207
The p-value is ? ≤ > αα <
Based on this, we should Select an answer fail to reject, accept or reject the null hypothesis. Reject
Thus, the final conclusion is that ...
- The data suggest that the population mean is not significantly less than 224 at αα = 0.05, so there is statistically insignificant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 224.
- The data suggest that the populaton mean is significantly less than 224 at αα = 0.05, so there is statistically significant evidence to conclude that the population mean number of eggs consumed by college students per year is less than 224.
- The data suggest that the sample mean is not significantly less than 224 at αα = 0.05, so there is statistically insignificant evidence to conclude that the sample mean number of eggs consumed by college students per year is less than 205.
Interpret the p-value in the context of the study.
- There is a 2.07401886% chance that the population mean number of eggs consumed by college students per year is less than 224.
- There is a 2.07401886% chance of a Type I error.
- If the population mean number of eggs consumed by college students per year is 224 and if another 46 college students are surveyed then there would be a 2.07401886% chance that the sample mean for these 46 students surveyed would be less than 205.
- If the population mean number of eggs consumed by college students per year is 224 and if another 46 students are surveyed then there would be a 2.07401886% chance that the population mean number of eggs consumed by college students per year would be less than 224.
Interpret the level of significance in the context of the study.
- There is a 5% chance that you will find the chicken that lays the golden eggs.
- There is a 5% chance that the population mean number of eggs consumed by college students per year is less than 224.
- If the population mean number of eggs consumed by college students per year is 224 and if another 46 college students are surveyed then there would be a 5% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is less than 224.
- If the population population mean number of eggs consumed by college students per year is less than 224 and if another 46 college students are surveyed then there would be a 5% chance that we would end up falsely concluding that the population mean number of eggs consumed by college students per year is equal to 224.
Please answer 5, 6, 7

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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