Define precision and accuracy. Are the two dependent upon each other? Do you want your data to be precise, accurate, or both? Justify your response. Lastly, explain how precision within a data set is accounted for/represented in statistics
Precision is defined as the closeness of the estimates from different samples. For example, if you consistently measure your height as 5 feet with a yardstick, your measurement is precise.
Accuracy is defined as the closeness of an estimate to the true value. Suppose you know your true height is 5 feet. You measure yourself with a yardstick and get 5 feet. Your measurement is accurate. You measure yourself and get 6 feet. Your measurement is not accurate.
We want the data to be both precise and accurate, because data without precision will have large variation which is not desired and inaccurate data will lead to wrong results.
Precision is accounted for/ represented in statistics by standard deviation. Precision is the inverse of standard deviation.
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