According to the Carnegie unit system, the recommended number of hours students should study per unit is 2. Are statistics students' study hours less than the recommended number of hours per unit? The data show the results of a survey of 11 statistics students who were asked how many hours per unit they studied. Assume a normal distribution for the population.1, 0.3, 2.7, 0.5, 1.8, 2.2, 2.5, 0, 0.9, 0.2, 2What can be concluded at the � = 0.01 level of significance? For this study, we should use The null and alternative hypotheses would be: �0: �1: The test statistic = (please show your answer to 3 decimal places.)The p-value = (Please show your answer to 4 decimal places.)The p-value is �Based on this, we should the null hypothesis.Thus, the final conclusion is that ...The data suggest that the population mean study time per unit for statistics students is not significantly less than 2 at � = 0.01, so there is insufficient evidence to conclude that the population mean study time per unit for statistics students is less than 2.The data suggest the population mean is not significantly less than 2 at � = 0.01, so there is sufficient evidence to conclude that the population mean study time per unit for statistics students is equal to 2.The data suggest the populaton mean is significantly less than 2 at � = 0.01, so there is sufficient evidence to conclude that the population mean study time per unit for statistics students is less than 2.Interpret the p-value in the context of the study.There is a 1.82175554% chance that the population mean study time per unit for statistics students is less than 2.If the population mean study time per unit for statistics students is 2 and if you survey another 11 statistics students, then there would be a 1.82175554% chance that the sample mean for these 11 statistics students would be less than 1.28.If the population mean study time per unit for statistics students is 2 and if you survey another 11 statistics students, then there would be a 1.82175554% chance that the population mean study time per unit for statistics students would be less than 2. There is a 1.82175554% chance of a Type I error.Interpret the level of significance in the context of the study.There is a 1% chance that the population mean study time per unit for statistics students is less than 2.If the population mean study time per unit for statistics students is less than 2 and if you survey another 11 statistics students, then there would be a 1% chance that we would end up falsely concuding that the population mean study time per unit for statistics students is equal to 2.There is a 1% chance that students just don't study at all so there is no point to this survey.If the population mean study time per unit for statistics students is 2 and if you survey another 11 statistics students, then there would be a 1% chance that we would end up falsely concuding that the population mean study time per unit for statistics students is less than 2.

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Answered: For this study, we should use The…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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According to the Carnegie unit system, the recommended number of hours students should study per unit is 2. Are statistics students' study hours less than the recommended number of hours per unit? The data show the results of a survey of 11 statistics students who were asked how many hours per unit they studied. Assume a normal distribution for the population.

1, 0.3, 2.7, 0.5, 1.8, 2.2, 2.5, 0, 0.9, 0.2, 2

What can be concluded at the � = 0.01 level of significance?

For this study, we should use
The null and alternative hypotheses would be:

�0:

�1:

The test statistic = (please show your answer to 3 decimal places.)
The p-value = (Please show your answer to 4 decimal places.)
The p-value is �
Based on this, we should the null hypothesis.
Thus, the final conclusion is that ...
- The data suggest that the population mean study time per unit for statistics students is not significantly less than 2 at � = 0.01, so there is insufficient evidence to conclude that the population mean study time per unit for statistics students is less than 2.
- The data suggest the population mean is not significantly less than 2 at � = 0.01, so there is sufficient evidence to conclude that the population mean study time per unit for statistics students is equal to 2.
- The data suggest the populaton mean is significantly less than 2 at � = 0.01, so there is sufficient evidence to conclude that the population mean study time per unit for statistics students is less than 2.
Interpret the p-value in the context of the study.
- There is a 1.82175554% chance that the population mean study time per unit for statistics students is less than 2.
- If the population mean study time per unit for statistics students is 2 and if you survey another 11 statistics students, then there would be a 1.82175554% chance that the sample mean for these 11 statistics students would be less than 1.28.
- If the population mean study time per unit for statistics students is 2 and if you survey another 11 statistics students, then there would be a 1.82175554% chance that the population mean study time per unit for statistics students would be less than 2.
- There is a 1.82175554% chance of a Type I error.
Interpret the level of significance in the context of the study.
- There is a 1% chance that the population mean study time per unit for statistics students is less than 2.
- If the population mean study time per unit for statistics students is less than 2 and if you survey another 11 statistics students, then there would be a 1% chance that we would end up falsely concuding that the population mean study time per unit for statistics students is equal to 2.
- There is a 1% chance that students just don't study at all so there is no point to this survey.
- If the population mean study time per unit for statistics students is 2 and if you survey another 11 statistics students, then there would be a 1% chance that we would end up falsely concuding that the population mean study time per unit for statistics students is less than 2.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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For this study, we should use The null and alternative hypotheses would be: �0: �1: The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is � Based on this, we should the null hypothesis.