Full lesson on data collection (used for an observation) comprising: starter to be discussed on what makes a good survey question and collection method, collection worksheet (to be circulated) for groups to decide on their question and how to collect the data, and peer-assessment form for adjacent groups to mark work.

A unit of work to introduce types of data and to discuss different ways of collecting data. The zip file contains: A PowerPoint (pptx) slide on two-way tables used as a lesson starter. A PowerPoint (pptx) presentation that asks questions about types of data (primary/secondary, qualitative/quantitative) and data collection techniques including types of sampling. It also briefly looks at how different types of data can be represented in bar charts, frequency diagrams and histograms. A worksheet (pdf/docx) on collecting data where students match types of data to keywords such as primary, secondary, qualitative, quantitative, discrete and continuous. A Match-up activity (pdf/docx) on sampling methods, where students match the method with its description and some advantages and disadvantages of the technique. Includes an answer sheet. A worksheet (pdf/docx) about surveys showing 7 different survey questions. Students are asked for one criticism of each question and to rewrite it in a more suitable form. A worksheet (pdf/docx) about representing data containing 5 questions. Each question has a table containing data and students are asked to draw 2 bar charts, a pie chart, a line graph and a scatter graph. This is a good revision exercise to remind students of the variety of graphs they already know how to draw.

A simple PPT looking at the ways of collecting data, what makes good survey questions and data collection sheets.

A compendium of 44 of the most common data recording sheets used in geography fieldwork. Easy to copy and use multiple times with students in the field and covering a wide variety of topics that suit all secondary key stages.

Brilliant animated tools. Contains A Tool for sorting out Data Type (Continuous or Discrete Data). Can be a great mini white board revision activity. Identifying a Good Question Sampling Techniques. Frequency Table - Data Collection. Meaning of BIAS. Great for quick fire revision or whole lesson. Math, Maths or Mathematics

Strictly follows the A-level Cambridge Environmental management new syllabus for examinations from 2022. A great resource for both teachers and students- a remedy since Cambridge has no resource yet for this syllabus. It is also useful for any environmental studies, Biology and even Geography at all levels. This resource covers- The scientific method Formulate hypotheses Characteristics of Hypothesis Design investigations in which variables are controlled and quantitative results are collected dependent and independent variable Interpret data to determine whether they support or refute the hypothesis being tested Explain how limitations in the measurement of data lead to uncertainty in the results understanding that a hypothesis that is consistently supported by investigation and observation can become a theory Environmental research in the context of climate change reliable and bias how historical data have developed how bias has led to the misuse of scientific data how unreliable data has led to false reporting of scientific conclusions Collection of environmental data Sampling strategies how random sampling and systematic sampling strategies aim to ensure samples are well distributed with a low risk of bias factors influencing the suitability of random sampling or systematic sampling strategies for different studies techniques used to collect sample data Quadrats (open frame Grid and point) Pitfall traps Sweep nets Beating tray kick sampling Light traps Capture-mark-recapture water turbidity Questionnaires Interviews benefits and limitations of each sampling technique listed population size using the Lincoln index biodiversity using the Simpson’s index of diversity abundance using quadrat data The use of technology in data collection and analysis Remote sensing Radio tracking Computational Modeling What Is Crowdsourcing? ‘big data’ Big data challenges benefits and limitations of the analysis of big data

Powerpoint introducing data topic. What is data? Uses of data. Activity for first lesson (collecting data).

6 Data collection sheets that can be used in a variety of ways, I prefer to use one question to demonstrate the use of the Venn diagram then spread 4 around the classroom and have students move to each one recording names in the correct sections. You may have an outdoor painted diagram where students can stand in the appropriate positions or be able to create a diagram with rope loops, however the full activity can be completed from students responding with raised hands. A blank data collection sheet is included for you to choose a question/s particularly suited to your location or student group, also a student worksheet for individuals to record results and a copy of the picture to aid your initial description.

Key Stage 2 Worksheets to develop skills in reading, interpreting and collecting data and graphing.

Stage 2 Mathematics Data Collection Graphing Worksheet

Stage 2 Mathematics Year 4 Data Collection Scaffold Worksheet / Activity 4 Mathematics Australian & New South Wales Curriculum Syllabus content focus: • MA2-18SP selects appropriate methods to collect data, and constructs, compares, interprets and evaluates data displays, including tables, picture graphs and column graphs • MA2-19SP describes and compares chance events in social and experimental contexts Editable Word version. Purchase separately or as part of a bundle from Mathematics Program

A series of key questions students should ask themselves before they begin designing the data collection phase of an investigation.

Data Collection. Primary and Secondary Sources. Quantitative and Qualitative Data

Used for KS4 introduction to statistics lesson. Defines the words needed to understand concepts of sampling and data collection strategies.

Secondary data collection and analysis is one of the lecture which is cowered during marketing research module. The agenda for this lecture is: •Define the nature and scope of secondary data and distinguish secondary data from primary data; •Analyze the advantages and disadvantages of secondary data and their uses in the various steps of the marketing research process; •Describe in detail the different sources of secondary data, focusing upon external sources in the form of published materials and syndicated services; •Explain the need to use multiple sources of secondary data; •Understand the challenges of using secondary data in international marketing research; •Describe the nature and purpose of researchers utilizing internal sources of secondary data; •Understand how web analytics can capture and model customer data and thus support marketing. In the attached file, you will find: • 1 Secondary data collection and analysis lecture power point presentation • 1 Tutorial Plan with several activities This lecture is covered by bachelor students. Once purchased please leave comment.

Lessons 1.Data collection and sampling 2.Tally charts and frequency tables 3.Stratified sampling

This activity involves looking at 'even chances' by tossing coins and using a tally chart to record the incidence of 'heads' or 'tails'. The data can then be used to produce bar charts. Pupils also predict the chances of dice landing on certain numbers before recording their dice throws. Pupils work in small groups then record their class's results as bar charts. You are encouraged to review this resource.

This task allows students to collect and analyse their own data. Student outcomes: - Collect both categorical and numerical data from secondary sources. - Construct back to back stem-and-leaf plots and histograms. - Determine quartiles and interquartile range (IQR). - Explain the terms: Symmetrical, skewed and bi-modal.

L3: How is Primary Data Collected? SoW - Local Area Investigation: Should the Government Expand Heathrow Airport? ALL FREE TO DOWNLOAD This unit is created in line with my personal passion for independent research. This unit is framed around the collection and application of primary data, and the process and systems the behind these. A conscience effect has also been made to embed dual coding within this SoW, as well as much differentiation and scaffolding. This Unit is my favorite to deliver and and been stream lined over the last two years. Happy to answer questions and any feedback appreciated… thegeographyshoporiginal@gmail.com Leave a review for any single resource FREE! Best FREE Resources (The Geography Shop) https://www.tes.com/teaching-resource/-12899088 (Climate Change SoW) https://www.tes.com/teaching-resource/-12899440 (Development SoW) https://www.tes.com/teaching-resource/-12638984 (Waste SoW) https://www.tes.com/teaching-resource/-12451443 (Britain Globalisation SoW) https://www.tes.com/teaching-resource/-12741793 (Local Area Investigation SoW) https://www.tes.com/teaching-resources/bundler/12949461 (Cambridge International) https://www.tes.com/teaching-resource/-12922653 (Israel & Palestine) https://www.tes.com/teaching-resource/resource-12485457 (What is Geography?) I hope you find this SoW useful. If you have, I have created a series of resources, one for each unit of the Edexcel B Geography course, as well as many KS3 units, all to the same standard. You can check them out here… https://www.tes.com/teaching-resources/shop/TheGeographyShopOriginal SoW: L1: What do stakeholders think about expanding Heathrow airport?  L2: What and how could we investigate about Heathrow’s expansion? L3: How is Primary Data Collected? L4: How do we present our data in Geography? L5: How can we assess our primary data? L6: What has our research concluded?  L7: The Debate - Should Heathrow Airport Be Expanded?  L8: Revision - Should Heathrow Airport be expanded? It is worth noting that some of these lessons require two lessons to be delivered.

Lesson on Collecting data