Lucebra
Lucebra Kurumsal

Histograms and Frequency Polygons Demystified

Understanding and Creating Visual Representations of Data Frequency

Tüm Seviyeler • 5 Ders • Ömür Boyu Erişim
Prabh Kirpa Classes

Doğrulanmış Usta Eğitmen

Histograms and Frequency Polygons Demystified
FRAGMAN
Eğitmeninizle tanışın: Prabh Kirpa Classes

19 ms

5.0 / 5.0
Genel Değerlendirme
1 saat 8 dk
Toplam İçerik

Neler Öğreneceksiniz

1. if the length of some leaves of a plant is measured and the data is represented by a table having discontinuous class intervals, then how to draw a histogram
2. Whether the data which is used to draw histogram, can be used to draw any other suitable graph.
3. If the data in respect of lifetimes of some neon lamps is given in the form of a table, how to represent the information with the help of a histogram.
4. If a table shows distribution of students in two sections according to the marks obtained by them, then how to use that data to form two frequency polygons o

Kurs İçeriği

2 bölüm • 5 ders • 01:08:37 toplam süre

Introduction

05:12
After going through this course, the students will understand:
  • if the length of some leaves of a plant is measured and the data is represented by a table having discontinuous class intervals, then how to draw a histogram for that data.
  • whether the data which is used to draw histogram, can be used to draw any other suitable graph.
  • if the data in respect of lifetimes of some neon lamps is given in the form of a table, how to represent the information with the help of a histogram.
  • if a table shows distribution of students in two sections according to the marks obtained by them, then how to use that data to form two frequency polygons on the same graph.

Histogram data: other option

15:13

Suppose we draw a histogram with the help of a table which is having data in the form of discontinuous class intervals. Whether there is any other suitable graphical representation for the same data.

Histogram : Life times of neon lamps

12:11

If the data in respect of lifetimes of some neon lamps is given in the form of a table, how to represent the information with the help of a histogram. How many lamps have a life time of more than specified hours?

Histogram: Length and number of leaves

Ücretsiz Önizleme
20:00

If the length of some leaves of a plant is measured and the data is represented by a table having discontinuous class intervals, then how to draw a histogram for that data.

Frequency Polygon: Marks of students

15:58

If a table shows distribution of students in two sections according to the marks obtained by them, then how to use that data to form two frequency polygons on the same graph.

Haftalık Çalışma Planı
Öğrenme Yolculuğunuzu Planlayın
Yapay zeka, müsaitliğinize göre kişisel bir program oluşturur

Gereksinimler

Basic knowledge of Algebra and Geometric concepts

Hedef Kitle

Students and any individual who enjoys learning about various mathematical concepts

Bu kurs hakkında

  • If the length of some leaves of a plant is measured and the data is represented by a table having discontinuous class intervals, then how to draw a histogram for that data.
  • Suppose we draw a histogram with the help of a table which is having data in the form of discontinuous class intervals. Whether there is any other suitable graphical representation for the same data.
  • If the data in respect of lifetimes of some neon lamps is given in the form of a table, how to represent the information with the help of a histogram. How many lamps have a life time of more than specified hours?
  • If a table shows distribution of students in two sections according to the marks obtained by them, then how to use that data to form two frequency polygons on the same graph.
  • When the large amount of data is to be presented, we can condense the data in to groups and these groupings are called “classes” or “class-intervals” and their size is called the class-size or class width. In each of these groupings/classes, the least number is called the lower class limit and the greater number is called the upper class limit. In the case of histogram, the data has to be in the form of continuous class intervals. In the case of frequency polygon, it is not necessary for the data to be in continuous class intervals.
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