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Learn Cumulative Frequency Graphs and Tables: Easy Examples and Fun Problems

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Learn Cumulative Frequency Graphs and Tables: Easy Examples and Fun Problems

Cumulative frequency graphs and tables are essential tools in statistics for understanding cumulative frequency. They help visualize and analyze data distribution, particularly useful for finding median and quartiles.

  • Cumulative frequency is the running total of frequencies up to a specific point in a dataset.
  • A cumulative frequency table organizes data by showing the cumulative totals for each category.
  • A cumulative frequency graph plots these cumulative totals against the upper boundaries of each class interval.
  • Key statistics like median and quartiles can be easily determined from these graphs.

06/09/2023

572

cumulative
The Cumulative
frequency is the
total 'so far you
add the frequencies
up to that point.
EXAMPLE
The heights of some plants
were r

View

Understanding Cumulative Frequency

Cumulative frequency is a fundamental concept in statistics that involves adding up frequencies as you progress through a dataset. This page explores the creation and interpretation of cumulative frequency tables and graphs, along with their applications in statistical analysis.

Definition: Cumulative frequency is the total frequency "so far," calculated by adding the frequencies up to a specific point in a dataset.

The page presents an example using plant height data to illustrate the process of creating a cumulative frequency table and graph.

Example: Heights of plants were recorded in centimeter intervals:

  • 30 < h ≤ 40: 9 plants
  • 40 < h ≤ 50: 16 plants
  • 50 < h ≤ 60: 12 plants
  • 60 < h ≤ 70: 3 plants

To create a cumulative frequency table:

  1. Start with the frequency of the first interval (9).
  2. Add each subsequent frequency to the running total (9 + 16 = 25, 25 + 12 = 37, 37 + 3 = 40).

The resulting cumulative frequency table:

  • 30 < h ≤ 40: 9
  • 30 < h ≤ 50: 25
  • 30 < h ≤ 60: 37
  • 30 < h ≤ 70: 40

Highlight: When creating a cumulative frequency graph, plot points using the upper boundary of each height interval and its corresponding cumulative frequency.

The cumulative frequency graph is then drawn by connecting these points with a smooth curve.

Vocabulary:

  • Median: The middle value in a dataset, found at the halfway point on the cumulative frequency graph.
  • Lower Quartile: The value at 1/4 of the way through the data.
  • Upper Quartile: The value at 3/4 of the way through the data.
  • Interquartile Range (IQR): The difference between the upper and lower quartiles.

Using the graph, we can determine:

  • Median: 48 cm (at 20 on the cumulative frequency axis)
  • Lower Quartile: 41 cm (at 10 on the cumulative frequency axis)
  • Upper Quartile: 53 cm (at 30 on the cumulative frequency axis)
  • Interquartile Range: 53 - 41 = 12 cm

Highlight: The cumulative frequency graph allows for quick visual estimation of these important statistical measures, making it a valuable tool for data analysis and interpretation.

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Learn Cumulative Frequency Graphs and Tables: Easy Examples and Fun Problems

Cumulative frequency graphs and tables are essential tools in statistics for understanding cumulative frequency. They help visualize and analyze data distribution, particularly useful for finding median and quartiles.

  • Cumulative frequency is the running total of frequencies up to a specific point in a dataset.
  • A cumulative frequency table organizes data by showing the cumulative totals for each category.
  • A cumulative frequency graph plots these cumulative totals against the upper boundaries of each class interval.
  • Key statistics like median and quartiles can be easily determined from these graphs.

06/09/2023

572

 

10/11

 

Maths

14

cumulative
The Cumulative
frequency is the
total 'so far you
add the frequencies
up to that point.
EXAMPLE
The heights of some plants
were r

Understanding Cumulative Frequency

Cumulative frequency is a fundamental concept in statistics that involves adding up frequencies as you progress through a dataset. This page explores the creation and interpretation of cumulative frequency tables and graphs, along with their applications in statistical analysis.

Definition: Cumulative frequency is the total frequency "so far," calculated by adding the frequencies up to a specific point in a dataset.

The page presents an example using plant height data to illustrate the process of creating a cumulative frequency table and graph.

Example: Heights of plants were recorded in centimeter intervals:

  • 30 < h ≤ 40: 9 plants
  • 40 < h ≤ 50: 16 plants
  • 50 < h ≤ 60: 12 plants
  • 60 < h ≤ 70: 3 plants

To create a cumulative frequency table:

  1. Start with the frequency of the first interval (9).
  2. Add each subsequent frequency to the running total (9 + 16 = 25, 25 + 12 = 37, 37 + 3 = 40).

The resulting cumulative frequency table:

  • 30 < h ≤ 40: 9
  • 30 < h ≤ 50: 25
  • 30 < h ≤ 60: 37
  • 30 < h ≤ 70: 40

Highlight: When creating a cumulative frequency graph, plot points using the upper boundary of each height interval and its corresponding cumulative frequency.

The cumulative frequency graph is then drawn by connecting these points with a smooth curve.

Vocabulary:

  • Median: The middle value in a dataset, found at the halfway point on the cumulative frequency graph.
  • Lower Quartile: The value at 1/4 of the way through the data.
  • Upper Quartile: The value at 3/4 of the way through the data.
  • Interquartile Range (IQR): The difference between the upper and lower quartiles.

Using the graph, we can determine:

  • Median: 48 cm (at 20 on the cumulative frequency axis)
  • Lower Quartile: 41 cm (at 10 on the cumulative frequency axis)
  • Upper Quartile: 53 cm (at 30 on the cumulative frequency axis)
  • Interquartile Range: 53 - 41 = 12 cm

Highlight: The cumulative frequency graph allows for quick visual estimation of these important statistical measures, making it a valuable tool for data analysis and interpretation.

Can't find what you're looking for? Explore other subjects.

Knowunity is the #1 education app in five European countries

Knowunity has been named a featured story on Apple and has regularly topped the app store charts in the education category in Germany, Italy, Poland, Switzerland, and the United Kingdom. Join Knowunity today and help millions of students around the world.

Ranked #1 Education App

Download in

Google Play

Download in

App Store

Knowunity is the #1 education app in five European countries

4.9+

Average app rating

15 M

Pupils love Knowunity

#1

In education app charts in 12 countries

950 K+

Students have uploaded notes

Still not convinced? See what other students are saying...

iOS User

I love this app so much, I also use it daily. I recommend Knowunity to everyone!!! I went from a D to an A with it :D

Philip, iOS User

The app is very simple and well designed. So far I have always found everything I was looking for :D

Lena, iOS user

I love this app ❤️ I actually use it every time I study.