R Programming for Statistics and Data Science - Mean, Median, Mode

The video tutorial covers three measures of central tendency: mean, median, and mode. It explains how to calculate each measure, their advantages, and limitations. The mean is the most common but is affected by outliers. The median provides a better central value in skewed data. The mode, though less commonly used, shows the most frequent value. The tutorial emphasizes using all three measures together for a comprehensive understanding of data. It also introduces the summary function for analyzing large datasets.

Which measure of central tendency is most affected by outliers?

• Mean

• Median

• Mode

• None of the above

How is the mean of a dataset calculated?

• By finding the middle value

• By subtracting the smallest value from the largest

• By identifying the most frequent value

• By adding all values and dividing by the number of values

What is the median of a dataset?

• The middle value in an ordered dataset

• The average of all values

• The most frequently occurring value

• The difference between the highest and lowest values

Why is the median considered more reliable than the mean in certain cases?

• It is easier to calculate

• It is not affected by extreme values

• It always represents the most frequent value

• It is a more complex calculation

What does the mode represent in a dataset?

• The range of values

• The most frequently occurring value

• The middle value

• The average value

In a dataset where each value appears only once, what can be said about the mode?

• The mode is the last value

• The mode is the first value

• There is no mode

• The mode is the average of all values

Which measure of central tendency should be used alone for the best analysis?

• Median

• Mode

• None, they should be used together

• Mean