The mean IQ for the U.S. is 100 with a standard deviation of 15. A Troy statistics professor thinks Troy students are smarter than average, so he randomly samples 10 students and records the following IQ data to test his hypothesis. How would you describe the data in terms of skewness: IQ: 95 100 105 110 115 100 105 110 105 105 positively skewed negatively skewed O symmetrical-no skewness inversely skewed conversely skewed
The mean IQ for the U.S. is 100 with a standard deviation of 15. A Troy statistics professor thinks Troy students are smarter than average, so he randomly samples 10 students and records the following IQ data to test his hypothesis. How would you describe the data in terms of skewness: IQ: 95 100 105 110 115 100 105 110 105 105 positively skewed negatively skewed O symmetrical-no skewness inversely skewed conversely skewed
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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Transcribed Image Text:The mean IQ for the U.S. is 100 with a standard deviation of 15. A Troy statistics professor thinks Troy
students are smarter than average, so he randomly samples 10 students and records the following IQ data to
test his hypothesis. How would you describe the data in terms of skewness:
IQ: 95 100 105 110 115 100 105 110 105 105
O positively skewed
O negatively skewed
Osymmetrical-no skewness
O inversely skewed
O conversely skewed

Transcribed Image Text:The mean IQ for the U.S. is 100 with a standard deviation of 15. A Troy statistics professor thinks Troy
students are smarter than average, so he randomly samples 10 students and records the following IQ data to
test his hypothesis. What conclusion should you make?
IQ: 95 100 105 110 115 100 105 110 105 105
O the data support the claim that Troy students have an IQ greater than 100
O the data do not support the claim that Troy students have an IQ greater than 100
the data support the null hypothesis
O the data fail to support the alternative hypothesis
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