abc
abcUsing numerical information and making inferences is something that our brain does all the time...
the objectives that you will have reached at the successful conclusion of this unit.
the objectives that you will have reached at the successful conclusion of this unit.
This is a selection of the best books in the library and in the bookshop. There is a short critique of each book to help in the selection process. The list is multidisciplinary.
There is a vast range of material for statistics studies on the web but much of it assumes prior knowledge. This list suggests those sites which will either aid learning or offer interesting 'datasets' to practice with. The list is multidisciplinary.
...to help you select the right statistical test for the job...
An easy-to-use reference page when a definition of a word or phrase is needed (with hyperlinks to relevant pages where applicable)
...just to get you started....
Self-Assessement questions...blocks of 12 assorted questions designed to build your confidence!
Where to go and who to speak to
N.B. this data is anonymous and would only be used in workshop exercises
Each block contains explanations, examples and exercises
related to those topics discussed in your lectures and relevant to your course.
Level C: STEP I Qualitative and Quantitative data, Scales of measurement, Bias, Types of Variable, What is a sample? Sampling methods
Level C: STEP 2 Presentation of data, Ranking , 'Picture scores', Bar charts, Histograms, Pie charts, 'Stem and Leaf' plots
STEP 2 (Linked page) Constructing Histograms and an excercise
STEP 2 (Linked page) Aspects of Central tendency. What actually is the 'Average'?. Dispersion
Level C: STEP 3 The Normal Distribution, working with 'Z'- scores, Standard Normal distributions
STEP 3 (Linked page) Histograms and SPSS (Dutch Elm Disease)
STEP 3 (Linked page) Another Histogram and SPSS example (Penguin eggs)
Interactive page: Normal distribution
Level C: STEP 4 Are two groups different?, Hypothesis testing, Probability and P-values, Ho and H1, Type 1 & 2 errors
STEP 4 (Linked page) Paired t-test, a note about standard error, an explanation of 'degrees of freedom'
STEP 4 (Linked page) Un-paired / un-matched t-tests
Level C: STEP 5 Nonparametric tests: The Mann-Whitney test for 2 independent data sets and The Wilcoxon test for matched-pairs
STEP 5 (Linked page) The Chi-squared test for Association (Nominal data) and Yate's correction. A short note about the 'G' test
Level C: STEP 6 More about frequency analysis, testing for normality, the Kolmogorov-Smirnov test for normality, the two-sample test
Level C: STEP 7 The concept of Correlation, Spearman's test
STEP 7 (Linked page) Pearson's Product Moment Correlation Coefficient test
SPSS data sets (active) Practice using many of the data sets used on this site
Level I: STEP 1 Using and interpreting 'official statistics', handling misleading data
Level I: STEP 2 Simple two-variable Regression analysis. A note on testing the significance of a regression line
Level I: STEP 3 Introduction to ANOVA...Regression ANOVA's, One-way Independent-Groups ANOVA's post hoc tests:Tukeys. Kruskal-Wallis
Level I: STEP 4 Two-factor Independent Groups ANOVA's
Level I: STEP 4 (Linked page) Repeated Measures ANOVA's
Level I: STEP 5 ANalysis of COVAriance (ANCOVA), Multiple regression
Level I: STEP 6 Other aspects of Multivariate analysis
Level I: STEP 7 Principal Components Analysis, Cluster Analysis (Jaccard and Clarke matrices), Dendrograms
Level I: STEP 8 Discriminant analysis
Level I: STEP 9 Nearest Neighbour Analysis, Point Pattern Analysis, a note about Trend surface analysis