Best Fit

The video tutorial explains two types of statistical values: measures of center and measures of variation. Measures of center include mean, median, and mode, which describe the central tendency of a dataset. The mean is suitable for closely grouped data, while the median is better for datasets with extreme values. The mode is useful for frequency data. Measures of variation, such as range and mean absolute deviation, describe data distribution. Quartiles and interquartile range further divide data into parts. The tutorial guides on choosing the right measure based on data characteristics.

Which measure of center is most affected by extreme values?

• Mean

• Median

• Mode

• Range

What is the best measure of center to use when a data set has extreme values?

• Mode

• Median

• Range

• Mean

How is the range of a data set calculated?

• By counting the number of data points

• By finding the most frequently occurring value

• By subtracting the smallest value from the largest value

• By finding the average of all data points

What does the mean absolute deviation (MAD) represent?

• The average distance of each data point from the mean

• The middle value of the data set

• The most frequently occurring value in the data set

• The average value of the data set

What is the interquartile range (IQR) used to measure?

• The average of the data set

• The spread of the middle 50% of the data

• The most frequently occurring value

• The range of the entire data set

How are quartiles used in data analysis?

• To identify the most common value

• To divide the data set into four equal parts

• To find the average of the data set

• To calculate the range of the data set

When is the mean absolute deviation a good measure of variation?

• When the data set has several identical values

• When the data set is divided into quartiles

• When the data set is closely grouped around the mean

• When the data set has extreme values