Measures of Central Tendency and Dispersion

The video tutorial explains the concepts of mean, median, and mode as measures of central tendency, highlighting their unique features and applications. It discusses the mean's vulnerability to outliers and when to use median and mode. The tutorial introduces the range as a measure of data spread and hints at future learning about standard deviation for understanding data dispersion.

Which measure of central tendency is defined as the middle score in a set of data?

• Mean

• Median

• Range

• Mode

What is a major drawback of using the mean as a measure of central tendency?

• It is not affected by outliers

• It is difficult to calculate

• It is not a numerical value

• It can be skewed by outliers

What is the term for a number that significantly differs from the rest of the data?

• Median

• Mode

• Range

• Outlier

In which scenario is the mode most useful?

• When data is categorical

• When data is numerical

• When data is discrete

• When data is continuous

Which measure is best used when data is not numerical?

• Mean

• Median

• Mode

• Range

What does the range of a data set represent?

• The most frequent value in the data

• The difference between the highest and lowest values

• The average of the data

• The middle value of the data

Which of the following is not a measure of central tendency?

• Range

• Mode

• Median

• Mean

What is the term for how spread out a group of numbers is?

• Central tendency

• Dispersion

• Frequency

• Concentration

What does standard deviation measure?

• Frequency

• Concentration

• Central tendency

• Dispersion

Which measure of dispersion is introduced as a more technical way to understand data spread?

• Range

• Interquartile Range

• Variance

• Standard Deviation