Introduction to Cumulative Frequency Distribution and OGIVE Graphs

The video tutorial explains cumulative frequency distribution, focusing on the 'more than type' method. It uses an example of workers' daily income to illustrate how to convert frequency distribution into cumulative frequency. The tutorial covers plotting these frequencies on a graph, finding the median, and understanding the differences between 'less than' and 'more than' types. The process involves identifying lower limits, calculating cumulative frequencies, and plotting them to find the median. The tutorial concludes with a summary of the steps involved in the 'more than type' method.

What is the graphical representation of a cumulative frequency distribution called?

• Ogive

• Bar Chart

• Pie Chart

• Histogram

In the 'more than type' ogive, which limits are used?

• Upper limits

• Class boundaries

• Midpoints

• Lower limits

What is the total frequency of the given data set?

• 55

• 50

• 45

• 40

How is cumulative frequency denoted?

• ΣF

• F

• RF

• CF

What is the cumulative frequency for the category 'more than 120'?

• 16

• 38

• 24

• 50

On which axis is the cumulative frequency plotted?

• None

• Y-axis

• X-axis

• Z-axis

What type of curve is obtained in a 'more than type' ogive?

• Constant

• Decreasing

• Increasing

• Fluctuating

What is the median value found from the ogive?

• 160

• 150

• 137.5

• 120

What is the first step in creating a 'more than type' ogive?

• Identify lower limits

• Calculate median

• Set scales

• Plot the graph

What is the value of 'north by two' in this example?

• 25

• 20

• 30

• 35