Description
GRAPHICAL REPRESENTATION
Recall, Statistics is a special subject that deals with large (usually) numerical data. The statistical data can be represented graphically. Graphical representation of data helps in faster and easier interpretation of data. Let’s learn some of the commonly used charts for analyzing data in this topic.
Frequency polygon
Frequency polygon by not using a histogram
Ogives
MEASURES OF CENTRAL TENDENCIES
Measures of central tendency are a key way to discuss and communicate with graphs. The term central tendency refers to the middle, or typical, value of a set of data, which is most commonly measured by using the three m’s: mean, median, and mode. The mean, median, and mode are known as the measures of central tendency. We shall learn about mean in this topic.
Mean (or average)
Mean of grouped data
Median
Median of grouped data
Mode
Mode of grouped data
What I will learn?
- Creating visual explanations improves learning
- Graphs save time. A data can be analyzed on a graph much faster
- One learns the spatial application of functions, equations and can visualize it better
Free
Free
Free access this course
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LevelIntermediate
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Total Enrolled3
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Duration5 hours
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Last UpdatedOctober 28, 2024
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Material Includes
- 🔥 Live Interactive classes with in-class doubt solving
- ⭐ Weekly Test and Quiz with instant tracking for progress
- ⚙️ Revision of the course after testing
- 👋 Fortnightly Parents and Tutor interactions
- 🌷 Expert monitoring of student's learning progress
- 👨👩👧👧 Daily communication over call, whatsapp and mail
- 💻3 hours on-demand video
- ✍4 downloadable resources
- ⌛Access for entire Academic Year
- 📱Access on mobile and Desktop
- 📋Assignments and review of the same
- 💡Tests and Correction by Board paper checkers
- 🏅Certificate of completion and Live tracking with GradE book
Course Duration:
5h
Course level:Intermediate
Enrolled:3
About Course
In this Section we will learn the following chapters
1. Graphical Representation
2. Measures of central tendency
What I will learn?
- Creating visual explanations improves learning
- Graphs save time. A data can be analyzed on a graph much faster
- One learns the spatial application of functions, equations and can visualize it better
Course Curriculum
MEASURES OF CENTRAL TENDENCIES – 03 – APRIL – INTRODUCTION TO MEAN MEDIAN AND MODE
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MEASURES OF CENTRAL TENDENCIES – PHYSICAL CLASS – INTRODUCTION
19:06 -
MEASURES OF CENTRAL TENDENCIES – PHYSICAL CLASS – INTRODUCTION TO DIRECT METHOD
14:38 -
MEASURES OF CENTRAL TENDENCIES – PHYSICAL CLASS – DIRECT METHOD
12:22 -
MEASURES OF CENTRAL TENDENCY – CORE CONCEPT – ARITHMETIC MEAN DIRECT METHOD
01:03:30 -
MEASURES OF CENTRAL TENDENCIES – PHYSICAL CLASS – DIRECT METHOD WITH TWO UNKNOWN
18:31 -
MEASURES OF CENTRAL TENDENCIES – PHYSICAL CLASS – SOLVING NUMERICALS BY DIRECT METHOD
07:47 -
MEASUREMENT OF CENTRAL TENDENCY – CORE CONCEPT – SHORTCUT METHOD
48:25 -
MEASURES OF CENTRAL TENDENCIES – PHYSICAL CLASS – SHORT CUT METHOD
08:26 -
MEASURES OF CENTRAL TENDENCIES – SUPPORT MATERIAL – MEAN OF GROUPED DATA
05:40 -
MEASURES OF CENTRAL TENDENCIES – SUPPORT MATERIAL – MEAN
03:15 -
MEASURES OF CENTRAL TENDENCIES – SUPPORT MATERIAL – MEDIAN OF GROUPED DATA
02:15 -
MEASURES OF CENTRAL TENDENCIES – SUPPORT MATERIAL – MODE
02:31 -
MEAN AND MEDIAN – PHYSICAL CLASS – MEAN BASED PROBLEMS
22:01 -
MEAN AND MEDIAN – PHYSICAL CLASS – MEDIAN BASED PROBLEMS
15:32
GRAPHICAL REPRESENTATION
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GRAPHICAL REPRESENTATION – SUPPORT MATERIAL – COLLECTION OF DATA
03:40 -
GRAPHICAL REPRESENTATION – SUPPORT MATERIAL – GRAPHICAL REPRESENTATION OF DATA
03:58 -
GRAPHICAL REPRESENTATION – SUPPORT MATERIAL – FREQUENCY POLYGON
06:00 -
GRAPHICAL REPRESENTATION – SUPPORT MATERIAL – BAR GRAPH
05:00 -
GRAPHICAL REPRESENTATION – SUPPORT MATERIAL – CUMULATIVE FREQUENCY DISTRIBUTION
01:18 -
GRAPHICAL REPRESENTATION – SUPPORT MATERIAL – HISTOGRAM
06:00 -
GRAPHICAL REPRESENTATION – CORE CONCEPT – GRAPHICAL REPRESENTATION OGIVE
38:01 -
GRAPHICAL REPRESENTATION – SUPPORT MATERIAL – OGIVE
05:00 -
STATISTICS – PHYSICAL CLASS – ARITHMETIC MEAN FOR UNGROUPED DATA USING SHORT CUT METHOD
06:01 -
STATISTICS – PHYSICAL CLASS – FINDING ARITHMETIC MEAN FOR UNGROUPED DATA USING DIRECT METHOD
08:05 -
STATISTICS – PHYSICAL CLASS – FINDING MEDIAN OF GROUPED DATA
00:56 -
STATITICS – PHYSICAL CLASS – MEDIAN OF GROUPED DATA USING OGIVE
03:17 -
STATISTICS – PHYSICAL CLASS – DRAWING OGIVE AND FINDING MEDIAN
08:04 -
STATISTICS – PHYSICAL CLASS – FINDING QUARTILE
20:39 -
STATISTICS – PHYSICAL CLASS – FREQUENCY TABLE DRAWING FROM GIVEN HISTOGRAM AND DRAWING OF OGIVE
12:03
MEASURES OF CENTRAL TENDENCIES – 24 APRIL 2023 – PHYSICAL CLASS – HISTOGRAM
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MEASURES OF CENTRAL TENDENCIES – PHYSICAL CLASS – NUMERICALS BASED ON ‘LESS THAN’
06:06 -
MEASURES OF CENTRAL TENDENCIES – PHYSICAL CLASS – HISTOGRAM
13:17 -
MEASURES OF CENTRAL TENDENCIES – PHYSICAL CLASS – QUARTILES OF OGIVE
16:26 -
STATISTICS – PHYSICAL CLASS – ARITHMETIC MEAN BY DIRECT METHOD
11:57 -
STATISTICS – PHYSICAL CLASS – ARITHMETIC MEAN BY STEP DEVIATION METHOD
09:07 -
STATISTICS – PHYSICAL CLASS – ARITHMETIC SHORT CUT METHOD BY DIRECT METHOD
06:09 -
STATISTICS – PHYSICAL CLASS – CONSTRUCTING OGIVE USING GIVEN HISTOGRAM
20:26 -
STATISTICS – PHYSICAL CLASS – FREQUENCY TABLE FOR LESS THAN AND MORE THAN TYPE DATA, MEDIAN
20:19 -
STATITICS – PHYSICAL CLASS – MEDIAN AND QUARTILES
21:44 -
STATITICS – PHYSICAL CLASS – MEDIAN AND QUARTILES EXAMPLE 2
09:51
ASSIGNMENT AND DUE DATES
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