Statistics

Time Series

The NCEA Level 3 Mathematics course has a Time Series Achievement Standard that has an internal assessment component. Students are required to collect data, present all the relevant time series information and then make predictions on the future direction of the data. This booklet presents boht the Additive Model for Time Series data and the Least Squares Method for the calculations. There are also two exemplars. These are internal assessments that both received excellence for their writers. It gives you an example of how to structure an excellent internal assessment survery.

Intermediate Statistics for Dummies

This book is designed for people who want to be able to understand and interpret some of the more involved techniques in statistics, beyond medians and means, the Central Limit Theorem, and confidence intervals and hypothesis tests. The topics this time around are many flavors of regression (including simple, multiple, nonlinear, and logistic); ANOVA (one-way and two-way); Chi-square tests (for independence and goodness-of-fit); and nonparametric procedures. There is also interpretation of computer output for data analysis purposes and how to interpret the results found in the output. There are full explanations of intermediate statistical ideas. Throughout the book are many examples that use statistical software to analyze the data. In each case, the computer output is given as well as an explanation of how the output was achieved and what it means.

There are an extensive number of examples to cover the many different types of problems you will face. Lots of tips, strategies, and warnings. The setup of the book allows you to skip around and still have easy access and understanding of any given topic. The book uses understandable language and tries to keep things conversational to help you understand, remember, and practise statistical definitions, techniques, and processes. Finally there are clear and concise step-by-step procedures. In most chapters, you can find steps that intuitively explain how to work through intermediate statistics problems, and remember how to do it later on.