Analysis of Variance (ANOVA) is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. Analysis of variance, known by the acronym ANOVA, allows statistical comparison among samples taken from many populations. While ANOVA literally does analyze variation, the purpose of ANOVA is to reach conclusions about possible differences among the means of each group, analogous to the hypothesis tests of the previous chapter. Every ANOVA design uses samples that represent each group and subdivides the total variation observed across all samples (all groups) toward the goal of analyzing possible differences among the means of each group. How this subdivision, called partitioning, works is a function of the design being used, but total variation, represented by the quantity sum of squares total (SST), will always be the starting point. As with other statistical methods, ANOVA requires making assumptions about the populations that the groups represent. Learning objectives: The basic concepts of experimental design How to use one-way analysis of variance to test for differences among the means of several groups When and how to use a randomized block design How to use two-way analysis of variance and interpret the interaction effect How to perform multiple comparisons in a one-way analysis of variance, a randomized block design, and a two-way analysis of variance In this File you will find: Analysis of Variance Lecture Power Point Presentation Test Bank for Analysis of Variance with 213 Questions with all answers to them 61 Exercises for Analysis of Variance lecture / seminar Plus reading resource on Analysis of Variance 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.

Lesson slides that cover the 10 types of data needed for the GCSE Statistics Specification. Please note that this only contains slides.

A worksheet with answers to help pupils practice using Pearson’s skewness coefficient formula.

A worksheet with answers to help pupils practice using the geometric mean formula.

Advanced Higher Statistics Pupil Notes for Stats 1 and 2

A Short Guide to Statistical Tests. This booklet contains all the information students need for the inferential statistics section of OCR A Level Psychology. It includes: How to know which test to use Levels of measurement (nominal/ordinal/interval) Significance levels How to tell if your result is significant (+ a nice easy rule for remembering!) Binomial sign test instructions Chi-square instructions Wilcoxon T instructions Mann-Whitney U instructions Spearman’s rho instructions How to interpret correlations & correlation coefficients

Formulate hypotheses and apply a hypothesis test concerning the population mean using a small sample drawn from a normal population of unknown variance, using a t-test Calculate a pooled estimate of a population variance from two samples Formulate hypotheses concerning the difference of population means, and apply, as appropriate – a 2-sample t-test – a paired sample t-test – a test using a normal distribution Determine a confidence interval for a population mean, based on a small sample from a normal population with unknown variance, using a t-distribution Determine a confidence interval for a difference of population means, using a t-distribution or a normal distribution, as appropriate.

Understand the concept of a probability generating function (PGF) and construct and use the PGF for given distributions e.g discrete uniform, binomial, geometric and Poisson distributions Use formulae for the mean and variance of a discrete random variable in terms of its PGF, and use these formulae to calculate the mean and variance of a given probability distribution Use the result that the PGF of the sum of independent random variables is the product of the PGFs of those random variables.

Slides to cover: Pascal’s Triangle How it relates to the binomial distrubution How to calculate binomial distributions Spot the mistake Exit Task There are questions and explanations included in the slides but no activity as of yet. Will be coming.

KS5 A level Biology - Statistics. Support your students to succeed with A level Statistics using this lesson. The lesson includes application of statistics in a series of scenarios as well as key examiner tips following** extensive analysis of past papers, mark schemes and examiner reports, so your students don’t make the same mistakes as in previous years. This is a complete lesson ready to use just download, print and go! Designed for teachers to deliver (specialist and non-specialists) but I have found more & more students need to access resources independently so my lessons are structured in a way that students can navigate for remote learning or to catch up on missed content. Can also be used for a flipped learning approach. A summary of the lesson contents: A range of interactive activities, including paired and independent tasks. The PowerPoint includes challenging activities delving into the key points of statistic-based questions, with teacher notes on many slides emphasising the key examiner tips. Includes: 56 slide PowerPoint 3 worksheets Detailed answers to all tasks on PowerPoint. The PowerPoint supports students to revise through a range of fun and interactive tasks to keep students engaged and challenged. If you are looking for more resources to teach Science check out my shop or click Biological molecules revision I aim to make my lessons easy to deliver, just click through to each task. I aim to produce cheap and affordable resources for the price of a good cup of coffee so that you can spend more time doing the things that you want. If you like these resources, then why not check out my other resources on similar topics in my TES shop.

This is an UNRESOURCED scheme of work for GCSE Statistics. Can be used for AQA or Edexcel specifications. There is also a simple learning journey included. Includes both a PDF and an editable word document. Unresourced due to me using resources from multiple places. Pages and chapters in the scheme refer to the book AQA GCSE Statistics by Jayne Roper.

Presentation on Statistics covering; Data types Bias Data skews Standard deviation Standard scores Z Scores

A series of statistics questions that cover everything that might be needed for an Advanced Higher Geography project. Largely overlaps with Advanced Higher Statistics. Topics included are: Descriptive statistics (mean, median, mode, range, interquartile range, standard deviation, standard error, coefficient of variation) Inferential statistics (chi-squared) Linear regression Nearest Neighbour analysis Full solutions at the end.

A presentation that introduces the main points about arrangements.

Notes and examples for the old S2 unit.

A variety of statistics questions covering aspects of the Level 3 Certificate in Mathematical studies all based around Christmas data.