Data and Statistics Intro ActivityQuick View
TopDownMathsTopDownMaths

Data and Statistics Intro Activity

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A short activity which demonstrates the importance of correctly interpreting data. This is a PowerPoint presentation telling the true story of mathematician Abraham Wald. He was employed by the US Army during WW2 to help with the war effort. An excellent activity for students with a range of ability levels. The information is from “How Not to be Wrong: The Hidden Maths of Everyday Life” by Jordan Ellenberg. I found it an excellent read and would recommend to all maths teachers.
GCSE statistics bundleQuick View
pull_shapespull_shapes

GCSE statistics bundle

7 Resources
My first 7 GCSE statistics lessons bundled together for a discount. All are complete lessons covering some of the more recent additions to higher GCSE
Statistics for OCR A Level BiologyQuick View
jdodd2jdodd2

Statistics for OCR A Level Biology

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This powerpoint is designed to cover the statistics required in the OCR A Level Biology specification A. It includes worked examples, practice questions and exam questions. It covers the following statistics: Standard deviation Chi-squared T-test Spearman rank
AS AQA Statistical Test LessonQuick View
n_doren_dore

AS AQA Statistical Test Lesson

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This fully-resourced lesson focuses on all three statistical test: Student t-test Correlation coefficient test Chi-squared test lesson will explore the following learning outcomes: Describe when and why you would use each test Be able to work out the degrees of freedom Understand what the p value means Conclude significance of the test based on the results The detailed PowerPoint has been designed to cover the AQA A-level Biology specification math skills which states that students should be able to select and use statistical test.
Organisation of data (Economics and Statistics)Quick View
joicepanathurjoicepanathur

Organisation of data (Economics and Statistics)

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This is the complete module on the topic of organization of data in statistics and economics. It is an exclusive resource where the topics are arranged in a very informative and interesting manner. All the topics are supported by examples and animations. The animated presentation will help you to understand the concept in a very simple and easy way. Each concept is explained with the help of illustrations, images, and outstanding animations. All the concepts are self-explanatory and narrative. This resource will be an added help for your studies nd exam preparations. The presentation is equally important to the students who are studying accountancy and the teachers who instruct the subject. Total Slides : 47. It's not just a ppt. It's a Complete interactive module with animation and background sound. This will give you an ultimate learning experience for sure. Contents: Collection of data Classification of data Basis of classification Variables Raw data Statistical Series Individual series Continuous series Frequency Distribution Types of frequency distribution Glossary _ Class limits, Frequency, Tally marks, Magnitude etc...
A Roadmap for Analyzing Data (Statistics)Quick View
galkin_pavel07galkin_pavel07

A Roadmap for Analyzing Data (Statistics)

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A Roadmap for Analyzing Data is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. Choosing appropriate statistical methods for your data is the single most important task you face and is at the heart of “doing statistics.” But this selection process is also the single most difficult thing you do when applying statistics! How, then, can you ensure that you have made an appropriate choice? By asking a series of questions, you can guide yourself to the appropriate choice of methods. Learning objectives: The questions to ask when choosing which statistical methods to use to conduct data analysis Rules for applying statistics in future studies and analyses This lecture discusses: How to choose the appropriate technique(s) for data analysis for both numerical and categorical variables Potential questions and the associated appropriate techniques for numerical variables Potential questions and the associated appropriate techniques for categorical variables In this File you will find: A Roadmap for Analyzing Data Lecture Power Point Presentation Test Bank for A Roadmap for Analyzing Data with 327 Questions with all answers to them 15 Exercises for A Roadmap for Analyzing Data seminar or lecture Plus reading resource on A Roadmap for Analyzing Data in order to enhance you overall knowledge about the topic. Once you will purchase this resource please leave a comment! All resources are compressed in zip file. You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
Data Handling and Statistics 4Quick View
GarethEvansGarethEvans

Data Handling and Statistics 4

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A year 10 unit of work covering the following topics: (1) Questionnaires: Designing questionnaires. Criticising questions. Hypotheses. (2) Sampling: Simple random sampling. Systematic sampling. Stratified sampling. (3) Frequency Polygons: Drawing frequency polygons. Interpreting frequency polygons. (4) Box and Whisker Diagrams: Drawing box and whisker diagrams. The connection between box and whisker diagrams and cumulative frequency diagrams. (5) Comparing Averages: Revising averages. Choosing the most appropriate average. Comparing averages.
Data Handling and Statistics 3Quick View
GarethEvansGarethEvans

Data Handling and Statistics 3

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A year 9 unit of work containing the following topics. (1) The Median: Calculating the median. Calculating the median from a table. Comparing two distributions. (2) The Median Class: Finding the median class or the estimate for the median. (3) The Interquartile Range: Calculating the interquartile range of a set of data. (4) Cumulative Frequency Diagrams: Cumulative frequency tables. Drawing a cumulative frequency diagram. Estimating the median and the interquartile range. (5) Scatter Diagrams: Drawing a scatter diagram. Types of correlation. Line of best fit. (6) Probability as a Fraction Writing the probability of an event as a fraction. The probability that an event will not happen. Sample space diagrams. Expected frequency.
Defining and Collecting Data (Business Statistics)Quick View
galkin_pavel07galkin_pavel07

Defining and Collecting Data (Business Statistics)

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Defining and Collecting Data is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. Nowadays, Data playing an important role in the success of the company. Without reliable and proper data most probably company will fail, while by possessing good data company may get a competitive advantage over main competitors in the market. It is extremely important for future managers to understand how to collect as well as to analyze data, as well as how to work with it. This teaching resource will help you to deliver Defining and Collecting Data lecture as well as seminar in interesting and professional way to your students. In this lecture you learn to: Understand the types of variables used in statistics Know the different measurement scales Know how to collect data Know the different ways to collect a sample Understand the types of survey errors In this file you will find: Defining and Collecting Data Lecture Power Point Presentation Test Bank with 204 different related questions with full answer description and explanation 45 Exercises related to the topic with all answers to them Two Interesting Case Studies with all answers to case study questions Defining and Collecting Data Reading Resources file in order to enhance Lecturer/Teacher/Student knowledge Once you will purchase this resource please leave a comment! All resources are compressed in zip file. You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
GCSE Statistics: Types of DataQuick View
kai_bloodworthkai_bloodworth

GCSE Statistics: Types of Data

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Lesson slides that cover the 10 types of data needed for the GCSE Statistics Specification. Please note that this only contains a slides. Though I do recommend page 9 in this book as an activity to accompany the lesson.
31 Data and Statistics Vocabulary CardsQuick View
HSXHSX

31 Data and Statistics Vocabulary Cards

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Maths vocabulary flash cards to use on displays, working walls, in lessons etc. All the words are listed in the order they are introduced in the curriculum.
GCSE Statistics Types of DataQuick View
bilawalziabilawalzia

GCSE Statistics Types of Data

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This is an a powerpoint lesson based on introduction to types of data for the course GCSE statistics. It contains questions and answer to check formatively the understanding of the students.
Statistics and Data TerminologyQuick View
RachelGrunewaldRachelGrunewald

Statistics and Data Terminology

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Statistics and data make a fun change from algebra and geometry, but boy, is there a lot of new vocabulary. Here you can download a range of activities, flashcards and quizzes to familiarize your students with the terminology they’ll need to pass their GCSEs with flying colours… statistically proven! ;)
Statistics - Grouped DataQuick View
tvelettintvelettin

Statistics - Grouped Data

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A lesson focusing on strategies for finding averages for data sets which are grouped in a table. Modal class, Median class and estimating the mean.
Statistics - Types of DataQuick View
tvelettintvelettin

Statistics - Types of Data

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A lesson that outlines all the different types of data. When it is best to use each type and whether these types of data would be considered valid/reliable?