How to find the number of standard deviations that it takes to represent all the data

The video tutorial explains how to determine the number of whole standard deviations needed to encompass all data values in a set. It begins with an introduction to standard deviation, followed by steps to reorder the data set. The tutorial then demonstrates calculating the first and second standard deviations from the mean. Finally, it concludes by determining the total number of standard deviations required to include all data values, emphasizing the importance of accuracy in calculations.

What is the first step in determining the number of whole number standard deviations that include all data values?

• Calculate the mean

• Find the range

• Order the data set

• Identify the median

How do you calculate one standard deviation from the mean?

• Divide the mean by the standard deviation

• Multiply the mean by the standard deviation

• Square the standard deviation

• Add and subtract the standard deviation from the mean

Does one standard deviation encompass all the data values in this example?

• No, it does not include all values

• Yes, it includes all values

• Yes, but only if the data is normally distributed

• No, it includes none of the values

What is the purpose of calculating additional standard deviations?

• To find the median

• To encompass more data values

• To reduce the mean

• To increase the range

How many standard deviations are needed to encompass all the data values in this example?

• Four

• Three

• Two

• One