# Sigma Statistics NCEA Level 3 Workbook (4e)

David Barton
Claire Laverty
Title Sigma Statistics NCEA Level 3 Workbook
Edition 4
ISBN 9781442556997
ISBN 10 1442556994
Published 29/11/2012
Pages 207
Format Book With CD
In stock

Total Price \$31.99 Add to Cart
##### Description

Sigma Statistics Workbook has been completely updated to reflect the current requirements of Mathematics and Statistics in the New Zealand Curriculum. It contains a huge array of exercises that are linked to the corresponding Sigma Statistics. This makes it easy for teachers to choose, and students to remember, homework, extra practice and revision exercises that match what has been done in class. In order to provide a comprehensive package that covers all fourteen Achievement Standards, Sigma Statistics is complemented by Sigma Statistics Workbook.

This workbook can be used alongside any mathematics textbook, and contains the worked examples, content summaries, and real-world, in-context problems, investigations and puzzles that David Barton is famous for – encouraging all students to gain and demonstrate a thorough understanding of mathematical concepts at NCEA Level 3.

The CD contains spreadsheets and worked examples from Sigma Statistics so students can read additional explanations at home.

Contents

3.8 Time series
1 Features of time series
2 Time series analysis
3 Seasonal adjustments and index numbers

3.9 Bivariate measurement data
4 Analysing bivariate data
5 Bivariate relationships

3.10 Statistical inference – making comparisions
6 Exploratory data analysis
7 Sampling variability
8 Differences between samples

3.11 Statistical experiments
9 Types of statistical experiment
10 Experimental procedures

3.12 Statistically based reports
12 Data sources
13 Using data: analysis and inference
14 Interpreting statistical reports

3.13 Probability concepts
15 Probability and events based on chance
16 Probability techniques
17 Conditional probability
18 Arrangements and selections

3.14 Probability distributions
19 Discrete random variables
20 Using distributions to model probability
21 Binomial distribution
22 Poisson distribution
23 Normal distribution
24 Simulation
25 Combining distributions and random variables

Extra activities

Puzzles
The same month
Fair die
Who’s at home?
ZIP codes
A mean puzzle