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Here is not enough information to determine which is the riskler of the two
Standard deviation is: It is a measure of how spread out numbers are. It is the square root of the Variance, and the Variance is the average of the squared differences from the Mean. For example: To find the standard deviation, you have to add up all the numbers in the data set, then divide by how many numbers there are, and that will get you your answer.
Example, Say your data set is: 9, 2, 5, 4, 12, 7, 8, 11, 9, 3, 7, 4, 12, 5, 4, 10, 9, 6, 9, 4. The Mean is: 9 + 2 + 5 + 4 + 12 + 7 + 8 + 11 + 9 + 3 + 7 + 4 + 12 + 5 + 4 + 10+ 9 + 6 + 9 + 4. Over 20. That equals: 104 over 20 = 7. So, the Standard Variance and Mean is: 7 for this problem.Normally distributed data is the distribution of probability which is symmetric about the mean.The mean of the data is the average value of the given data.The standard deviation of the data is the half of the difference of the highest value and mean of the data set. Those numbers who summarize information about sample are called statistic.
Learn about standard deviation:
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