Do men take more time than women to get out of bed in the morning? The 47 men observed averaged 5.4 minutes to get out of bed after the alarm rang. Their standard deviation was 2.6. The 40 women observed averaged 4 minutes and their standard deviation was 2.4 minutes. What can be concluded at the αα = 0.10 level of significance? For this study, we should use Select an answer t-test for the difference between two dependent population means t-test for the difference between two independent population means z-test for the difference between two population proportions t-test for a population mean z-test for a population proportion The null and alternative hypotheses would be: H0:H0: Select an answer μ1 p1 Select an answer > < = ≠ Select an answer μ2 p2 (please enter a decimal) H1:H1: Select an answer p1 μ1 Select an answer = < > ≠ Select an answer p2 μ2 (Please enter a decimal) 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 accept fail to reject reject the null hypothesis. Thus, the final conclusion is that ... The results are statistically significant at αα = 0.10, so there is sufficient evidence to conclude that the population mean time for men to get out of bed in the morning is more than the population mean time for women to get out of bed in the morning. The results are statistically insignificant at αα = 0.10, so there is insufficient evidence to conclude that the population mean time for men to get out of bed in the morning is more than the population mean time for women to get out of bed in the morning. The results are statistically insignificant at αα = 0.10, so there is statistically significant evidence to conclude that the population mean time for men to get out of bed in the morning is equal to the population mean time for women to get out of bed in the morning. The results are statistically significant at αα = 0.10, so there is sufficient evidence to conclude that the mean time to get out of bed in the morning for the 47 men that were observed is more than the mean time for the 40 women that were observed. Interpret the p-value in the context of the study. If the sample mean time to get out of bed for the 40 men is the same as the sample mean time to get out of bed for the 40 women and if another 47 men and 40 women are observed then there would be a 0.54% chance of concluding that the mean time to get out of bed for the 47 men is at least 1.4 minutes more than the mean time to get out of bed for the 40 women There is a 0.54% chance of a Type I error. If the population mean time for men to get out of bed in the morning is the same as the population mean time for women to get out of bed in the morning and if another 47 men and 40 women are observed then there would be a 0.54% chance that the mean time to get out of bed for the 47 men would be at least 1.4 minutes more than the mean time to get out of bed for the 40 women. There is a 0.54% chance that the mean time to get out of bed for the 47 men is at least 1.4 minutes more than the mean time to get out of bed for the 40 women. Interpret the level of significance in the context of the study. There is a 10% chance that there is a difference in the population mean time for men and women to get out of bed in the morning. There is a 10% chance you will take so long to get out of bed in the morning that you will miss the deadline to complete this assignment. If the population mean time for men to get out of bed in the morning is the same as the population mean time for women to get out of bed in the morning and if another 47 men and 40 women are observed then there would be a 10% chance that we would end up falsely concluding that the population mean time for men to get out of bed in the morning is more than the population mean time for women to get out of bed in the morning If the population mean time for men to get out of bed in the morning is the same as the population mean time for women to get out of bed in the morning and if another 47 men and 40 women are observed then there would be a 10% chance that we would end up falsely concluding that the sample mean time for these 47 men and 40 women to get out of bed in the morning differ from each other.

Do men take more time than women to get out of bed in the morning? The 47 men observed averaged 5.4 minutes to get out of bed after the alarm rang. Their standard deviation was 2.6. The 40 women observed averaged 4 minutes and their standard deviation was 2.4 minutes. What can be concluded at the αα = 0.10 level of significance? For this study, we should use Select an answer t-test for the difference between two dependent population means t-test for the difference between two independent population means z-test for the difference between two population proportions t-test for a population mean z-test for a population proportion The null and alternative hypotheses would be: H0:H0: Select an answer μ1 p1 Select an answer > < = ≠ Select an answer μ2 p2 (please enter a decimal) H1:H1: Select an answer p1 μ1 Select an answer = < > ≠ Select an answer p2 μ2 (Please enter a decimal) 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 accept fail to reject reject the null hypothesis. Thus, the final conclusion is that ... The results are statistically significant at αα = 0.10, so there is sufficient evidence to conclude that the population mean time for men to get out of bed in the morning is more than the population mean time for women to get out of bed in the morning. The results are statistically insignificant at αα = 0.10, so there is insufficient evidence to conclude that the population mean time for men to get out of bed in the morning is more than the population mean time for women to get out of bed in the morning. The results are statistically insignificant at αα = 0.10, so there is statistically significant evidence to conclude that the population mean time for men to get out of bed in the morning is equal to the population mean time for women to get out of bed in the morning. The results are statistically significant at αα = 0.10, so there is sufficient evidence to conclude that the mean time to get out of bed in the morning for the 47 men that were observed is more than the mean time for the 40 women that were observed. Interpret the p-value in the context of the study. If the sample mean time to get out of bed for the 40 men is the same as the sample mean time to get out of bed for the 40 women and if another 47 men and 40 women are observed then there would be a 0.54% chance of concluding that the mean time to get out of bed for the 47 men is at least 1.4 minutes more than the mean time to get out of bed for the 40 women There is a 0.54% chance of a Type I error. If the population mean time for men to get out of bed in the morning is the same as the population mean time for women to get out of bed in the morning and if another 47 men and 40 women are observed then there would be a 0.54% chance that the mean time to get out of bed for the 47 men would be at least 1.4 minutes more than the mean time to get out of bed for the 40 women. There is a 0.54% chance that the mean time to get out of bed for the 47 men is at least 1.4 minutes more than the mean time to get out of bed for the 40 women. Interpret the level of significance in the context of the study. There is a 10% chance that there is a difference in the population mean time for men and women to get out of bed in the morning. There is a 10% chance you will take so long to get out of bed in the morning that you will miss the deadline to complete this assignment. If the population mean time for men to get out of bed in the morning is the same as the population mean time for women to get out of bed in the morning and if another 47 men and 40 women are observed then there would be a 10% chance that we would end up falsely concluding that the population mean time for men to get out of bed in the morning is more than the population mean time for women to get out of bed in the morning If the population mean time for men to get out of bed in the morning is the same as the population mean time for women to get out of bed in the morning and if another 47 men and 40 women are observed then there would be a 10% chance that we would end up falsely concluding that the sample mean time for these 47 men and 40 women to get out of bed in the morning differ from each other.

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Description: Do men take more time than women to get out of bed in the morning? The 47 men observed averaged 5.4 minutes to get out of bed after the alarm rang. Their standard deviation was 2.6. The 40 women observed averaged 4 minutes and their standard deviatio

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 t-test for the difference between two dependent population means t-test for the difference between two independent population means z-test for the difference between two population proportions t-test for a population mean z-test for a population proportion
The null and alternative hypotheses would be:

H0:H0: Select an answer μ1 p1 Select an answer > < = ≠ Select an answer μ2 p2 (please enter a decimal)

H1:H1: Select an answer p1 μ1 Select an answer = < > ≠ Select an answer p2 μ2 (Please enter a decimal)

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 accept fail to reject reject the null hypothesis.
Thus, the final conclusion is that ...
- The results are statistically significant at αα = 0.10, so there is sufficient evidence to conclude that the population mean time for men to get out of bed in the morning is more than the population mean time for women to get out of bed in the morning.
- The results are statistically insignificant at αα = 0.10, so there is insufficient evidence to conclude that the population mean time for men to get out of bed in the morning is more than the population mean time for women to get out of bed in the morning.
- The results are statistically insignificant at αα = 0.10, so there is statistically significant evidence to conclude that the population mean time for men to get out of bed in the morning is equal to the population mean time for women to get out of bed in the morning.
- The results are statistically significant at αα = 0.10, so there is sufficient evidence to conclude that the mean time to get out of bed in the morning for the 47 men that were observed is more than the mean time for the 40 women that were observed.
Interpret the p-value in the context of the study.
- If the sample mean time to get out of bed for the 40 men is the same as the sample mean time to get out of bed for the 40 women and if another 47 men and 40 women are observed then there would be a 0.54% chance of concluding that the mean time to get out of bed for the 47 men is at least 1.4 minutes more than the mean time to get out of bed for the 40 women
- There is a 0.54% chance of a Type I error.
- If the population mean time for men to get out of bed in the morning is the same as the population mean time for women to get out of bed in the morning and if another 47 men and 40 women are observed then there would be a 0.54% chance that the mean time to get out of bed for the 47 men would be at least 1.4 minutes more than the mean time to get out of bed for the 40 women.
- There is a 0.54% chance that the mean time to get out of bed for the 47 men is at least 1.4 minutes more than the mean time to get out of bed for the 40 women.
Interpret the level of significance in the context of the study.
- There is a 10% chance that there is a difference in the population mean time for men and women to get out of bed in the morning.
- There is a 10% chance you will take so long to get out of bed in the morning that you will miss the deadline to complete this assignment.
- If the population mean time for men to get out of bed in the morning is the same as the population mean time for women to get out of bed in the morning and if another 47 men and 40 women are observed then there would be a 10% chance that we would end up falsely concluding that the population mean time for men to get out of bed in the morning is more than the population mean time for women to get out of bed in the morning
- If the population mean time for men to get out of bed in the morning is the same as the population mean time for women to get out of bed in the morning and if another 47 men and 40 women are observed then there would be a 10% chance that we would end up falsely concluding that the sample mean time for these 47 men and 40 women to get out of bed in the morning differ from each other.

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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