On average is the younger sibling's IQ different from the older sibling's IQ? Ten sibling pairs were given IQ tests. The data are shown below.IQ ScoresYounger Sibling103951071031079811610911095Older Sibling100921059594961119611783Assume a Normal distribution. What can be concluded at the the αα = 0.10 level of significance?For this study, we should use Select an answer t-test for the difference between two independent population means z-test for a population proportion z-test for the difference between two population proportions t-test for the difference between two dependent population means t-test for a population mean The null and alternative hypotheses would be: H0:H0: Select an answer p1 μ1 μd ? > ≠ < = Select an answer μ2 p2 0 (please enter a decimal) H1:H1: Select an answer μ1 μd p1 ? < ≠ > = Select an answer p2 0 μ2 (Please enter a decimal)The test statistic ? z t = (please show your answer to 3 decimal places.)The p-value = (Please show your answer to 4 decimal places.)The p-value is ? > ≤ ααBased on this, we should Select an answer fail to reject accept reject the null hypothesis.Thus, the final conclusion is that ...The results are statistically insignificant at αα = 0.10, so there is statistically significant evidence to conclude that the population mean IQ score for younger siblings is equal to the population mean IQ score for older siblings.The results are statistically significant at αα = 0.10, so there is sufficient evidence to conclude that the population mean IQ score for younger siblings is not the same as the population mean IQ score for older siblingsThe results are statistically insignificant at αα = 0.10, so there is insufficient evidence to conclude that the population mean IQ score for younger siblings is not the same as the population mean IQ score for older siblings.The results are statistically significant at αα = 0.10, so there is sufficient evidence to conclude that the ten younger siblings' IQ scores are not the same on average than the ten older siblings' IQ scores.Interpret the p-value in the context of the study.There is a 2.36% chance of a Type I error.There is a 2.36% chance that the mean IQ score for the 10 younger siblings differs by at least 5.4 points from the mean IQ score for the 10 older siblings.If the sample mean IQ score for the 10 younger siblings is the same as the sample mean IQ score for the 10 older siblings and if another 10 sibling pairs are given an IQ test then there would be a 2.36% chance of concluding that the mean IQ score for the 10 younger siblings differs by at least 5.4 points from the mean IQ score for the 10 older siblings.If the population mean IQ score for younger siblings is the same as the population mean IQ score for older siblings and if another 10 sibling pairs are given an IQ test then there would be a 2.36% chance that the mean IQ score for the 10 younger siblings would differ by at least 5.4 points from the mean IQ score for the 10 older siblings.Interpret the level of significance in the context of the study.If the population mean IQ score for younger siblings is the same as the population mean IQ score for older siblings and if another 10 sibling pairs are given an IQ test, then there would be a 10% chance that we would end up falsely concuding that the sample mean IQ scores for these 10 sibling pairs differ from each other.If the population mean IQ score for younger siblings is the same as the population mean IQ score for older siblings and if another 10 sibling pairs are given an IQ test, then there would be a 10% chance that we would end up falsely concuding that the population mean IQ score for younger siblings is not the same as the population mean IQ score for older siblingsThere is a 10% chance that you are so much smarter than your sibling that there is no need to take an IQ test to make a comparison.There is a 10% chance that the population mean IQ score is the same for younger and older siblings.

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Description: On average is the younger sibling's IQ different from the older sibling's IQ? Ten sibling pairs were given IQ tests. The data are shown below.IQ ScoresYounger Sibling103951071031079811610911095Older Sibling100921059594961119611783Assume a Normal dist

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MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

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On average is the younger sibling's IQ different from the older sibling's IQ? Ten sibling pairs were given IQ tests. The data are shown below.

IQ Scores

Younger Sibling	103	95	107	103	107	98	116	109	110	95
Older Sibling	100	92	105	95	94	96	111	96	117	83

Assume a Normal distribution. What can be concluded at the the αα = 0.10 level of significance?

For this study, we should use Select an answer t-test for the difference between two independent population means z-test for a population proportion z-test for the difference between two population proportions t-test for the difference between two dependent population means t-test for a population mean

The null and alternative hypotheses would be:

H0:H0: Select an answer p1 μ1 μd ? > ≠ < = Select an answer μ2 p2 0 (please enter a decimal)

H1:H1: Select an answer μ1 μd p1 ? < ≠ > = Select an answer p2 0 μ2 (Please enter a decimal)

The test statistic ? z t = (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 fail to reject accept reject the null hypothesis.
Thus, the final conclusion is that ...
- The results are statistically insignificant at αα = 0.10, so there is statistically significant evidence to conclude that the population mean IQ score for younger siblings is equal to the population mean IQ score for older siblings.
- The results are statistically significant at αα = 0.10, so there is sufficient evidence to conclude that the population mean IQ score for younger siblings is not the same as the population mean IQ score for older siblings
- The results are statistically insignificant at αα = 0.10, so there is insufficient evidence to conclude that the population mean IQ score for younger siblings is not the same as the population mean IQ score for older siblings.
- The results are statistically significant at αα = 0.10, so there is sufficient evidence to conclude that the ten younger siblings' IQ scores are not the same on average than the ten older siblings' IQ scores.
Interpret the p-value in the context of the study.
- There is a 2.36% chance of a Type I error.
- There is a 2.36% chance that the mean IQ score for the 10 younger siblings differs by at least 5.4 points from the mean IQ score for the 10 older siblings.
- If the sample mean IQ score for the 10 younger siblings is the same as the sample mean IQ score for the 10 older siblings and if another 10 sibling pairs are given an IQ test then there would be a 2.36% chance of concluding that the mean IQ score for the 10 younger siblings differs by at least 5.4 points from the mean IQ score for the 10 older siblings.
- If the population mean IQ score for younger siblings is the same as the population mean IQ score for older siblings and if another 10 sibling pairs are given an IQ test then there would be a 2.36% chance that the mean IQ score for the 10 younger siblings would differ by at least 5.4 points from the mean IQ score for the 10 older siblings.
Interpret the level of significance in the context of the study.
- If the population mean IQ score for younger siblings is the same as the population mean IQ score for older siblings and if another 10 sibling pairs are given an IQ test, then there would be a 10% chance that we would end up falsely concuding that the sample mean IQ scores for these 10 sibling pairs differ from each other.
- If the population mean IQ score for younger siblings is the same as the population mean IQ score for older siblings and if another 10 sibling pairs are given an IQ test, then there would be a 10% chance that we would end up falsely concuding that the population mean IQ score for younger siblings is not the same as the population mean IQ score for older siblings
- There is a 10% chance that you are so much smarter than your sibling that there is no need to take an IQ test to make a comparison.
- There is a 10% chance that the population mean IQ score is the same for younger and older siblings.

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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