On average, Americans have lived in 2 places by the time they are 18 years old. Is this average less for college students? The 70 randomly selected college students who answered the survey question had lived in an average of 1.95 places by the time they were 18 years old. The standard deviation for the survey group was 0.5. What can be concluded at the αα = 0.01 level of significance? For this study, we should use Select an answer z-test for a population proportion t-test for a population mean 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 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 accept fail to reject the null hypothesis. Thus, the final conclusion is that ... The data suggest that the populaton mean is significantly less than 2 at αα = 0.01, so there is statistically significant evidence to conclude that the population mean number of places that college students lived in by the time they were 18 years old is less than 2. The data suggest that the population mean is not significantly less than 2 at αα = 0.01, so there is statistically insignificant evidence to conclude that the population mean number of places that college students lived in by the time they were 18 years old is less than 2. The data suggest that the sample mean is not significantly less than 2 at αα = 0.01, so there is statistically insignificant evidence to conclude that the sample mean number of places that college students lived in by the time they were 18 years old is less than 1.95. Interpret the p-value in the context of the study. If the population mean number of places that college students lived in by the time they were 18 years old is 2 and if you survey another 70 college students, then there would be a 20.28360026% chance that the population mean number of places that college students lived in by the time they were 18 years old would be less than 2. There is a 20.28360026% chance that the population mean number of places that college students lived in by the time they were 18 years old is less than 2. If the population mean number of places that college students lived in by the time they were 18 years old is 2 and if you survey another 70 college students, then there would be a 20.28360026% chance that the sample mean for these 70 college students would be less than 1.95. There is a 20.28360026% 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 number of places that college students lived in by the time they were 18 years old is less than 2. If the population mean number of places that college students lived in by the time they were 18 years old is less than 2 and if you survey another 70 college students, then there would be a 1% chance that we would end up falsely concluding that the population mean number of places that college students lived in by the time they were 18 years old is equal to 2. If the population mean number of places that college students lived in by the time they were 18 years old is 2 and if you survey another 70 college students, then there would be a 1% chance that we would end up falsely concluding that the population mean number of places that college students lived in by the time they were 18 years old is less than 2. There is a 1% chance that none of this is real since you have been hooked up to virtual reality since you were born.

On average, Americans have lived in 2 places by the time they are 18 years old. Is this average less for college students? The 70 randomly selected college students who answered the survey question had lived in an average of 1.95 places by the time they were 18 years old. The standard deviation for the survey group was 0.5. What can be concluded at the αα = 0.01 level of significance? For this study, we should use Select an answer z-test for a population proportion t-test for a population mean 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 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 accept fail to reject the null hypothesis. Thus, the final conclusion is that ... The data suggest that the populaton mean is significantly less than 2 at αα = 0.01, so there is statistically significant evidence to conclude that the population mean number of places that college students lived in by the time they were 18 years old is less than 2. The data suggest that the population mean is not significantly less than 2 at αα = 0.01, so there is statistically insignificant evidence to conclude that the population mean number of places that college students lived in by the time they were 18 years old is less than 2. The data suggest that the sample mean is not significantly less than 2 at αα = 0.01, so there is statistically insignificant evidence to conclude that the sample mean number of places that college students lived in by the time they were 18 years old is less than 1.95. Interpret the p-value in the context of the study. If the population mean number of places that college students lived in by the time they were 18 years old is 2 and if you survey another 70 college students, then there would be a 20.28360026% chance that the population mean number of places that college students lived in by the time they were 18 years old would be less than 2. There is a 20.28360026% chance that the population mean number of places that college students lived in by the time they were 18 years old is less than 2. If the population mean number of places that college students lived in by the time they were 18 years old is 2 and if you survey another 70 college students, then there would be a 20.28360026% chance that the sample mean for these 70 college students would be less than 1.95. There is a 20.28360026% 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 number of places that college students lived in by the time they were 18 years old is less than 2. If the population mean number of places that college students lived in by the time they were 18 years old is less than 2 and if you survey another 70 college students, then there would be a 1% chance that we would end up falsely concluding that the population mean number of places that college students lived in by the time they were 18 years old is equal to 2. If the population mean number of places that college students lived in by the time they were 18 years old is 2 and if you survey another 70 college students, then there would be a 1% chance that we would end up falsely concluding that the population mean number of places that college students lived in by the time they were 18 years old is less than 2. There is a 1% chance that none of this is real since you have been hooked up to virtual reality since you were born.

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MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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For this study, we should use Select an answer z-test for a population proportion t-test for a population mean
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 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 accept fail to reject the null hypothesis.
Thus, the final conclusion is that ...
- The data suggest that the populaton mean is significantly less than 2 at αα = 0.01, so there is statistically significant evidence to conclude that the population mean number of places that college students lived in by the time they were 18 years old is less than 2.
- The data suggest that the population mean is not significantly less than 2 at αα = 0.01, so there is statistically insignificant evidence to conclude that the population mean number of places that college students lived in by the time they were 18 years old is less than 2.
- The data suggest that the sample mean is not significantly less than 2 at αα = 0.01, so there is statistically insignificant evidence to conclude that the sample mean number of places that college students lived in by the time they were 18 years old is less than 1.95.
Interpret the p-value in the context of the study.
- If the population mean number of places that college students lived in by the time they were 18 years old is 2 and if you survey another 70 college students, then there would be a 20.28360026% chance that the population mean number of places that college students lived in by the time they were 18 years old would be less than 2.
- There is a 20.28360026% chance that the population mean number of places that college students lived in by the time they were 18 years old is less than 2.
- If the population mean number of places that college students lived in by the time they were 18 years old is 2 and if you survey another 70 college students, then there would be a 20.28360026% chance that the sample mean for these 70 college students would be less than 1.95.
- There is a 20.28360026% 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 number of places that college students lived in by the time they were 18 years old is less than 2.
- If the population mean number of places that college students lived in by the time they were 18 years old is less than 2 and if you survey another 70 college students, then there would be a 1% chance that we would end up falsely concluding that the population mean number of places that college students lived in by the time they were 18 years old is equal to 2.
- If the population mean number of places that college students lived in by the time they were 18 years old is 2 and if you survey another 70 college students, then there would be a 1% chance that we would end up falsely concluding that the population mean number of places that college students lived in by the time they were 18 years old is less than 2.
- There is a 1% chance that none of this is real since you have been hooked up to virtual reality since you were born.

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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