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Mathematics Grade 8 (5 of 5) - Data Handling

Mathematics module 5 of 5 for all students, age 12-14, wanting to build a solid foundations in 21st century mathematics
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202 students enrolled
Last updated 1/2016
English
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Includes:
  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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Description

Welcome to this Mathematics Grade 8 course, module 5 of 5 on Data Handling.

The aim of this course is for it to be taught in a 21st century mindset. The course is actually fun, it uses technology, the internet and general knowledge to better equip a student for real life applications.

This course is intended for absolutely age 12-14 years old whom already has a foundation phase understanding in Mathematics. This course is also suitable for any end of middle-school to start of High School (US) or Grade 7-9 (UK) teachers who want to improve upon classroom teaching methods.

This course is packed with 1.5+ hours of video content encouraging students to answer questions throughout the videos. There are 5 modules in total, this is module 5.

1. Numbers, Operations & Relationships.
2. Patterns, Functions & Algebra.
3. Space and Shape.
4. Measurement.
5. Data Handling.

The course has been broken into 5 modules to i) allow students to only enroll in what sections they are struggling with, ii) save the parent or student cost as each module is the price of a tutoring lesson and lastly, iii) to encourage students to break goals into bite-sized chunks. There is 16+ hours of video in all five modules.

This course is intended to be a resource to help students throughout the year, it can be completed slowly and referred to throughout your year of study. The course has been broken down into the following sub-sections, each containing their own set of videos:

  • Collecting, Organising and Summarising Data
  • Represent Data
  • Probability

Enjoy!

Who is the target audience?
  • Students age 12-14 wanting to improve their mathematics
  • Set at Grade 8 level this can be any student at the end of middle school, start of high school (US) or grade 7-9 (UK)
  • Any relevant mathematics teachers wanting to improve upon classroom teaching methods.
  • Anyone wanting to build a strong foundation in introductory mathematics
  • Students from all over the world learning or wanting to learn mathematics in English can take this course, it is a cross-syllabus course
  • Anyone bored with the way mathematics is taught in the classroom and wanting a new exciting take on the subject
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What Will I Learn?
Understand, in detail, Data Handling, including, Collecting Organising and Summarising data, representing data in graphs and probability.
Take the next step in their mathematically journey with a solid mathematically foundation
Critically apply mathematics to real world situations as well as have your mathematic knowledge extended past the classroom
View Curriculum
Requirements
  • Basic foundation phase mathematics. Including your number line, ability to draw shapes and graphs
Curriculum For This Course
Expand All 14 Lectures Collapse All 14 Lectures 01:43:22
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Introduction
1 Lecture 03:36

In this video you will meet your lecturer as well as get an introduction into the course.

Preview 03:36
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Collect, Organise & Summarize Data
6 Lectures 43:39

This video is a nice practical fun example to help a student get used to collecting data and enabling them to do it themselves.

Preview 07:39

Once we have collected data we need to be able to do something with it, this video is all about organising data into steam leaf diagrams.

Organise (2 of 6) - Stem & Leaf diagrams
07:32

Once we have an organised set of data we need to summarise the data, or take out useful information. This video will deal with how to solve the mean of a data set, or the average of a data set.

Summarize (3 of 6) - Mean
09:08

Once we have an organised set of data we need to summarise the data, or take out useful information. This video will deal with how to solve the median of a data set, or the middle piece of ordered data in a data set.

Summarize (4 of 6) - Median
07:26

Once we have an organised set of data we need to summarise the data, or take out useful information. This video will deal with how to solve the mode of a data set, or the piece of data that occurs the most.

Summarize (5 of 6) - Mode
06:31

Once we have an organised set of data we need to summarise the data, or take out useful information. This video will deal with how to solve the range of a data set, or the difference between the smallest and biggest numbers.

Summarize (6 of 6) - Range
05:23
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Represent Data
4 Lectures 30:06

Once we have collected data, organised and summarised it we need to represent it to make it presentable and easy to understand, this video will deal with how to make a Bar and Double Bar Graph.

Preview 08:07

This video will sent the record straight for what the difference between a bar graph and histogram are, it will show you in detail how to go about making a histogram.

Represent (2 of 4) - Histogram
06:29

Still learning how to represent data, this video will show you how to create a pie chart.

Represent (3 of 4) - Pie Charts
05:28

The last, most important and frequently used data representation method is line graphs, seen every day whether it be stock markets or the temperature. This video will deal in detail with Broken Line Graphs

Represent (4 of 4) - Broken Line Graph
10:02
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Probability
3 Lectures 26:01

Probability is an extremely important part of mathematics, this video will give a basic introduction to the terminology used when discussing probablity.

Preview 07:35

It is important to understand what relative frequency is and why it is so important to understand the difference between probability and relative frequency of an event.

Probability (2 of 3) - Relative Frequency
06:24

We take some time in this video to go through, in detail, examples in the realm of probability.

Probability (3 of 3) - Examples
12:02
About the Instructor
4.1 Average rating
30 Reviews
1,018 Students
8 Courses
Engineer | Runner | Learner

Born and bread on the foothills of Table Mountain, Cape Town, South Africa. Electro-Mechanical Engineer and Running fanatic. I have been running as long as I can remember anything from 100m to 100km, in the mountains, on the road and on the track. I am constantly on the search for new information and adventures.

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