apt4Maths: COLLECTING DATA PowerPoint for GCSE Maths (2 of 14 on Collecting and Presenting Data)

PowerPoint Presentation on Collecting Data (31 slides): Reviews the data handling cycle and explains the main methods of collecting data and how to avoid bias, as well as how to record and clean data. It has been written by a highly experienced teacher (of 25+ years), senior examiner and reviser for Maths and Stats examinations. It includes:

Lesson objectives
Step-by-step explanations of the subject matter
Examples to aid understanding
Questions to check understanding
Answers to questions, with explanations
Suggestions regarding which topic(s) should be moved on to next.

This is 1 of a set of 14 PowerPoints on ‘Collecting and Presenting Data’ that APT Initiatives has published for GCSE (and Key Stage 3) Mathematics. The full set of 14 PowerPoints (299 slides, excluding Title Pages) covers the following topics relating to 'Collecting and Presenting Data’:

01 Types of Data (24 slides).
02 Collecting Data (31 slides).
03 Questionnaires and Surveys (30 slides).
04 Sampling and Bias (25 slides).
05 Block Diagrams and Dot Plots (12 slides).
06 Pictograms (16 slides).
07 Bar Charts, Bar Line Graphs and Frequency Diagrams – Polygons (26 slides).
08 Line Graphs (9 slides).
09 Stepped Tables and Two-way Tables (18 slides).
10 Pie Charts (18 slides).
11 Scatter Diagrams (40 slides).
12 Stem and Leaf Diagrams (17 slides).
13 Histograms (14 slides).
14 Misleading Graphs and other Data Representations (19 slides).

These PowerPoints relate to the ‘Statistics’ sections of the Maths specifications. Other sets relating to Statistics concern: Analysing Data.

Note: Work on frequency tables, cumulative frequency tables and graphs, box (and whisker) plots and time series is included in APT’s set of PowerPoints on ‘Analysing Data’. Work on conversion graphs and distance-time graphs is included in APT’s set of PowerPoints on ‘Graphs’. There are also additional PowerPoints available that cover the additional GCSE Statistics parts of this module of statistical work – covering sampling in more depth, comparative pie charts, population pyramids and choropleths.

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