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Below are the jersey numbers of 11 players randomly selected from a football team. Find the range, variance, and standard deviation for the given sample data. What do the results tell us 52 33 7 54 20 76 81 7o 8 68 74 D Range = (Round to one decimal place as needed.) Sample standard deviation = (Round to one decimal place as needed.) Sample variance = (Round to one decimal place as needed.) What do the results tell us? O A. The sample standard deviation is too large in comparison to the range. O B. Jersey numbers on a football team do not vary as much as expected. O C. Jersey numbers on a football team vary much more than expected. O D. Jersey numbers are nominal data that are just replacements for names, so the resulting statistics are meaningless.

Below are the jersey numbers of 11 players randomly selected from a football team. Find the range, variance, and standard deviation for the given sample data. What do the results tell us 52 33 7 54 20 76 81 7o 8 68 74 D Range = (Round to one decimal place as needed.) Sample standard deviation = (Round to one decimal place as needed.) Sample variance = (Round to one decimal place as needed.) What do the results tell us? O A. The sample standard deviation is too large in comparison to the range. O B. Jersey numbers on a football team do not vary as much as expected. O C. Jersey numbers on a football team vary much more than expected. O D. Jersey numbers are nominal data that are just replacements for names, so the resulting statistics are meaningless.

MATLAB: An Introduction with Applications
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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67 and 69 solve both
Below are the jersey numbers of 11 players randomly selected from a football team. Find the range, variance, and standard deviation for the given sample data. What do the results tell us? 52 33 7 54 20 76 81 70 8 68 74 D Range = (Round to one decimal place as needed.) Sample standard deviation = (Round to one decimal place as needed.) Sample variance = (Round to one decimal place as needed.) What do the results tell us? O A. The sample standard deviation is too large in comparison to the range. O B. Jersey numbers on a football team do not vary as much as expected. OC. Jersey numbers on a football team vary much more than expected. O D. Jersey numbers are nominal data that are just replacements for names, so the resulting statistics are meaningless.
Transcribed Image Text:Below are the jersey numbers of 11 players randomly selected from a football team. Find the range, variance, and standard deviation for the given sample data. What do the results tell us? 52 33 7 54 20 76 81 70 8 68 74 D Range = (Round to one decimal place as needed.) Sample standard deviation = (Round to one decimal place as needed.) Sample variance = (Round to one decimal place as needed.) What do the results tell us? O A. The sample standard deviation is too large in comparison to the range. O B. Jersey numbers on a football team do not vary as much as expected. OC. Jersey numbers on a football team vary much more than expected. O D. Jersey numbers are nominal data that are just replacements for names, so the resulting statistics are meaningless.
Heights of adult males are known to have a normal distribution. A researcher claims to have randomly selected adult males and measured their heights with the resulting Relative Height (cm) Frequency 130-144 22% relative frequency distribution as shown here. Identify two major flaws with these results. 145-159 26% 160-174 175-189 190 204 21% 28% 29% Select all that apply. A. The classes do not allow for the possibility that an adult male could be less than 130 cm tall or greater than 204 cm tall. B. All of the relative frequencies appear to be roughly the same. If they are from a normal distribution, they should start low, reach a maximum, and then decrease. Oc. The sum of the relative frequencies is 126%, but it should be 100%, with a small possible round-off error. D. The classes do not allow for the possibility that an adult male could be between 144 cm and 145 cm tall, or between 159 cm and 160 cm tall, and so on. DE. All of the relative frequencies are different. If they are from a normal distribution, they should all be exactly the same. OF. The relative frequencies were recorded as percents instead of counts.
Transcribed Image Text:Heights of adult males are known to have a normal distribution. A researcher claims to have randomly selected adult males and measured their heights with the resulting Relative Height (cm) Frequency 130-144 22% relative frequency distribution as shown here. Identify two major flaws with these results. 145-159 26% 160-174 175-189 190 204 21% 28% 29% Select all that apply. A. The classes do not allow for the possibility that an adult male could be less than 130 cm tall or greater than 204 cm tall. B. All of the relative frequencies appear to be roughly the same. If they are from a normal distribution, they should start low, reach a maximum, and then decrease. Oc. The sum of the relative frequencies is 126%, but it should be 100%, with a small possible round-off error. D. The classes do not allow for the possibility that an adult male could be between 144 cm and 145 cm tall, or between 159 cm and 160 cm tall, and so on. DE. All of the relative frequencies are different. If they are from a normal distribution, they should all be exactly the same. OF. The relative frequencies were recorded as percents instead of counts.
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