Central Tendency and Distribution Effects

The video tutorial explains central tendencies: mode, median, and mean. It discusses the best measures for nominal, ordinal, and metric data, emphasizing mode for nominal, median for ordinal, and mean for metric data. The tutorial also covers the impact of right skewness on mean, highlighting how the mean shifts with higher scores. Additionally, it addresses the effect of outliers on central tendencies, recommending the median as the preferred measure in such cases.

Which central tendency is most suitable for nominal data?

• Mode

• Range

• Median

• Mean

For ordinal data, which central tendency provides the best representation?

• Mean

• Standard Deviation

• Median

• Mode

What is the best measure of central tendency for metric data?

• Mode

• Variance

• Median

• Mean

In a right-skewed distribution, what happens to the mean?

• It remains the same

• It becomes zero

• It increases

• It decreases

What does a right-skewed distribution indicate about student marks?

• Most students scored low

• Most students scored average

• Most students scored high

• All students scored the same

Which central tendency is most affected by outliers?

• Mode

• Median

• Mean

• Range

How does an outlier affect the mean in a dataset?

• It slightly affects

• It has no effect

• It makes the mean zero

• It significantly affects

When outliers are present, which central tendency is preferred?

• None

• Mean

• Median

• Mode

Why is the median preferred over the mean in the presence of outliers?

• Median is not affected by extreme values

• Median is easier to calculate

• Median is always smaller

• Median is always larger

What is the main focus of central tendency measures?

• To calculate variance

• To summarize data with a single value

• To identify outliers

• To find the range