Measures of Center

The video tutorial explains how to identify the best measure of center for a data set, focusing on the mean, median, and mode. It highlights the impact of outliers, using an example where 20 people report their weekly TV watching hours. The presence of an outlier, 60 hours, skews the mean, making it less representative of the data set. The tutorial concludes that the median and mode are better measures of center in such cases, as they are not affected by extreme values.

What was the purpose of James's survey?

• To compare TV watching habits between different age groups

• To find out how many people own a TV

• To determine the average number of hours people watch TV weekly

• To see how many people watch TV on weekends

Which value in the data set is considered an outlier?

• 60 hours

• 9 hours

• 7 hours

• 5 hours

How does the outlier affect the mean of the data set?

• It makes the mean smaller

• It has no effect on the mean

• It makes the mean larger

• It makes the mean equal to the median

Which measures of central tendency are not affected by the outlier?

• Mean and median

• Median and mode

• All measures are affected

• Mean and mode

Why are the median and mode considered the best measures of center in this data set?

• They are always the same value

• They are easier to calculate

• They are more accurate than the mean

• They are not influenced by extreme values