Answer: S or SD
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Which of the following is one way to represent the standard deviation?
Start studying Chapter 3. Learn vocabulary terms and more with flashcards games and other study tools. ... Which of the following is one way to represent the standard deviation ? s. Biased estimates can be used: A) To describe a sample ... Which of the following is one way to represent the variance? s …
A large standard deviation indicates that the data points can spread far from the mean and a small standard deviation indicates that they are clustered closely around the mean. For example each of the three populations {0 0 14 14} {0 6 8 14} and {6 6 8 8} has a mean of 7. Their standard deviations are 7 5 and 1 respectively. The third population has a much smaller standard deviation than the other two because its values are all close to 7. These standard deviations have the same units as the data points themselves. If for instance the data set {0 6 8 14} represents t…
A large standard deviation indicates that the data points can spread far from the mean and a small standard deviation indicates that they are clustered closely around the mean. For example each of the three populations {0 0 14 14} {0 6 8 14} and {6 6 8 8} has a mean of 7. Their standard deviations are 7 5 and 1 respectively. The third population has a much smaller standard deviation than the other two because its values are all close to 7. These standard deviations have the same units as the data points themselves. If for instance the data set {0 6 8 14} represents the ages of a population of four siblings in years the standard deviation is 5 years. As another example the population {1000 1006 1008 1014} may represent the distances traveled by four athletes measured in meters. It has a mean of 1007 meters and a standard deviation of 5 meters. Standard deviation may serve as a measure of uncertainty. In physical science for example the reported standard deviation of a group of repeated measurements gives the precision of those measurements. When deciding whether measurements agree with a theoretical prediction the standard deviation of those measurements is of crucial importance: if the mean of the measurements is too far away from the prediction (with the distance measured in standard deviations) then the theory being tested p...
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