Understanding Quartiles and Data Sets

The video tutorial explains how to identify the upper quartile in a data set. It begins by counting the number of data points, which is 12 in this case. The data is then divided into quartiles: lower, middle, and upper. The tutorial highlights the importance of understanding the lines representing quartiles in the data set. Finally, it demonstrates how to calculate the upper quartile by finding the midpoint between two numbers, resulting in an upper quartile value of 83.5.

How many data points are there in the given data set?

• 15

• 20

• 10

• 12

Into how many parts is the data set divided to determine quartiles?

• 5

• 2

• 3

• 4

Which quartile includes the first three numbers in a data set?

• Upper quartile

• Lower quartile

• Middle quartile

• Interquartile range

What is the value of the upper quartile in the given data set?

• 82.5

• 83.5

• 83

• 84

What is the significance of the value 83.5 in the data set?

• It is the mode

• It is the upper quartile

• It is the lower quartile

• It is the median