NOW ENROLLING FOR TEST SERIES I.C.S.E. 2023 -24 STD VIII IX AND X

STD VIII – STATISTICS (Hybrid)

About Course

In this section will learn the following chapters: 1.DATA HANDLING 2.PROBABILITY
Last Updated:February 25, 2025
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Description

STATISTICS

Primary data

Primary data is that which is collected by the investigator himself through personal observations with a definite plan or design in mind

For example, the data collected by a teacher on the performance of students in maths

Primary data is reliable and relevant

Secondary data

Secondary data is that which has been collected previously by someone other than the investigator for some specific purpose

For example, government reports

Bar Chart

A diagram representing the frequency distribution for nominal or discrete data with comparatively few possible values

It consists of a sequence of bars or rectangles corresponding to the possible value

 Probability

Given the results of an experiment, we know how to predict the outcome of the experiment. How do we predict the outcome without actually doing the experiment? The probability or likeliness of an event occurring, without actually conducting the experiment is called theoretical probability.

Probability

Probability is defined as the numerical method of measuring uncertainty involved in a situation.

It is widely used in the study of mathematics, statistics, gambling, physical science, biological science, weather forecasting, finance etc. to draw conclusions.

Experiment:

An experiment is defined as an action or process that results in well defined outcomes.

Random experiment:

An experiment, in which we know all the results, but cannot predict them, is called a random experiment.

Outcomes:

The possible results of an experiment are called the outcomes.

Event:

A combination of outcomes is called an event.

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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: 0
Course level:Intermediate
Enrolled:4

About Course

In this section will learn the following chapters: 1.DATA HANDLING 2.PROBABILITY

Course Curriculum

DATA HANDLING

  • DATA HANDLING – STATISTICS – SUPPORT MATERIAL – COLLECTION OF DATA
    03:40
  • DATA HANDLING – SUPPORT MATERIAL – GRAPHICAL REPRESENTATION OF DATA
    03:58
  • DATA HANDLING – GRAPHICAL REPRESENTATION – SUPPORT MATERIAL – BAR GRAPH
    03:58
  • DATA HANDLING – GRAPHICAL REPRESENTATION – SUPPORT MATERIAL – CUMULATIVE FREQUENCY DISTRIBUTION
    01:18
  • DATA HANDLING – GRAPHICAL REPRESENTATION – SUPPORT MATERIAL – HISTOGRAM
    01:08
  • STATISTICS – PHYSICAL CLASS – BAR GRAPH
    16:04
  • STATISTICS – PHYSICAL CLASS – BAR GRAPH II
    17:30
  • STATISTICS – PHYSICAL CLASS – BAR GRAPH III
    14:45
  • STATISTIC – PHYSICAL CLASS – INTRODUCTION AND ARITHMETIC MEAN
    07:55
  • STATISTIC – PHYSICAL CLASS – FINDING UNKNOWN VALUE WHEN MEAN IS GIVEN – PART – I
    11:58
  • STATISTIC – PHYSICAL CLASS – FINDING UNKNOWN VALUE WHEN MEAN IS GIVEN – PART – II
    09:29
  • STATISTICS – PHYSICAL CLASS – READING OF OF PIE CHART
    16:39
  • STATISTICS – PHYSICAL CLASS – CONSTRUCTION OF PIE CHART
    07:34
  • STATISTIC – PHYSICAL CLASS – FIND RANGE AND SUMS BASED ON UNGROUPED DATA
    04:06

PROBABILITY

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