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A2 level Statistics notes (new specification)

A2 level Statistics notes (new specification)

These are detailed revision notes based on the content for the Edexcel and AQA specifications. They could be used for revision purposes or teacher notes. Detailed examples are given. Please let me know if you have found these to be useful! I have written them myself.
joe_berwick
Hypothesis Testing

Hypothesis Testing

An powerpoint giving an introduction to hypothesis testing using the normal distribution. It also covers type I and type II errors, and has some examples of hypothesis testing using the Poisson and Binomial distributions, plus various exam questions at the end.
jontymarshall
OCR MEI Statistics 2 : Bivariate Data

OCR MEI Statistics 2 : Bivariate Data

The introduction (Prove It) task asks students to re-cap hypothesis testing from Statistics 1 using the Binomial distribution, before introducing the Pearson Product Moment Correlation Coefficient and carrying out hypothesis tests to determine significance of correlation.
Gaspode74
Hypothesis testing (new A level) - notes, examples, exercises and a homework/test

Hypothesis testing (new A level) - notes, examples, exercises and a homework/test

This 17-page resource covers all the required knowledge and techniques for hypothesis testing in the new A level. It contains detailed notes, examples to work through with your class, and exercises of questions for students to attempt themselves (answers included). The topics covered are: 1. Sampling - different methods of sampling, biased and representative samples 2. Unbiased estimators - estimating the population mean and variance from a sample 3. Setting up a hypothesis test - null and alternative hypotheses 4. Making a conclusion - p-values, significance levels, 1-tail and 2-tail tests 5. Critical regions - finding the critical region for a hypothesis test 6. Significance levels and errors - probability of incorrectly rejecting null hypothesis, nominal vs actual significance level This projectable and printable resource will save you having to write out or create any notes/examples when teaching this topic. It also increases how much you can get through in lessons as students don't have to copy notes/questions and can work directly onto spaces provided for solutions. You could also email/print some or all of this for students who have missed lessons or need additional notes/practice/revision. Also included is a 2-page assessment that covers the whole topic. Fully worked solutions are included.
langy74
GCSE Statistics: Collecting Data

GCSE Statistics: Collecting Data

GCSE statistics presentations covering data types and data collection. to include - quantitative and qualitative data - continuous and discrete data - primary and secondary data - sampling (random and non random) - questionnaires and surveys - Investigations and experiments Very visual with problems embedded in presentation all images cc3.0 template slidescarnival
treeickle
GCSE Statistics Collecting Data 6: Investigations and Experiments

GCSE Statistics Collecting Data 6: Investigations and Experiments

Clear very visual presentation covering: 1. Good secondary data sources 2. Investigation/Experiment outlines 3. Hypothesis making 4. Identifying variables 5. Data collection methods to include a) before and after experiments b) matched pairs c) data logging d) control groups e) capture and recapture and problems for each of these. Images CC3.0 and presentation template from slidescarnival
treeickle
GCSE Statistics Collecting Data 5: Primary and Secondary Data

GCSE Statistics Collecting Data 5: Primary and Secondary Data

Clear very visual presentation covering: 1. Primary and Secondary Data 2. Advantages and disadvantages of each 3. Examples of primary and secondary data 4. Methods of collecting data to include a) Questionnaires b) interviews .... and the advantages and disadvantages to each and problems for each of these. Images CC3.0 and presentation template from slidescarnival
treeickle
Quantitative skills: Spearman's Rank and Chi Squared

Quantitative skills: Spearman's Rank and Chi Squared

This lesson is designed to meet requirements of the Geography AQA A-Level specification on quantitative and qualitative skills. As per my usual format this lesson consists of; - Starter activity to get them thinking about prior knowledge and using this to link to this lessons learning (the learning linked to this is found on slides 12-16 as I set this as for students to work on in study time/homework). - Learning objectives and success criteria that are clearly linked to the specification. - New information on Spearman's rank and chi squared with examples designed to work through as a class or in teams, with supporting worksheet at the very end of the PPT. - Plenary/application task - to consolidate learning from the lesson. - Further reading with hyperlinked websites. - Further study - hyperlink and consolidating exam style question on fieldwork techniques that would be used in coastal areas.
clmcdonnell