Essential Further Mathematics Third Edition with Student CD-Rom

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Edition: 3rd
Format: Multimedia
Pub. Date: 2005-12-14
Publisher(s): Cambridge University Press
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Summary

Essential Mathematics provides a single unified course of study which addresses all the key skills outcomes.

Table of Contents

Acknowledgments
Introduction Core
Types of data and frequency tables
Some data
Variables
Types of data - numerical and categorical
Looking at distributions
Grouping data
Percentage frequencies
Cumulative frequencies
Chapter outcomes
Picturing data - histograms, stem plots and barcharts
The histogram
What to look for in a histogram
The stem-and-leaf plot
From stem plot to histogram
The barchart
Chapter outcomes
Summarising numerical data - the median, range, IQR and box plots
Will less than the whole picture do?
The median, range and interquartile range (IQR)
The five-number summary and the box plot
Box plots with outliers
Relating a box plot to distribution shape
Using box plots to compare distributions
Chapter outcomes
Summarising numerical data - the mean and the standard deviation
The mean and the standard deviation
The relationship between the mean and the median
Measuring the spread around the mean
The variance
The standard deviation
Estimating the standard deviation from range
Calculating the mean and standard deviation using a statistical calculator
Giving meaning to the standard deviation
Chapter outcomes
Populations and samples
Populations
Samples
Simple random sample (SRS)
Other sampling methods
Population parameters and sample statistics
Chapter outcomes
Displaying and describing relationships between numerical variables
Displaying relationships - the scatterplot
Characteristics of a relationship
The correlation coefficient
Some traps with Pearson's correlation coefficient r
The coefficient of determination
Dependent and independent variables
Correlation and causality
Chapter outcomes
Displaying and describing relationships between categorical variables
The two-way frequency table
Reading a two-way frequency table
Percentaging a two-way frequency table
Using percentages to identify relationships
Using a segmented barchart to identify relationships in tabulated data
Dependent and independent variables in tabulated data
Locating the dependent variable in a table
Choosing the appropriate graphical display
Investigating the relationship between a numerical and a categorical variable?
Chapter outcomes
Regression - fitting lines to data
Introduction
Least squares regression
Performing a regression analysis
A graphical approach to regression - the three median line
Chapter outcomes
Regression - residual plots and data transformation
Testing the goodness of fit of a regression line
What do we do when a residual plot shows evidence of non-linearity in our data?
Putting all the parts together - regression analysis with data transformation
Chapter outcomes
Time series - finding the pattern
Definition of time series
Characteristics of a time series plot
Interpreting a time series plot
Smoothing
Seasonal indices
Fitting a trend line
Forecasting
Chapter outcomes
Revision of the core - summary and multiple choice questions
Chapter by chapter revision of the core
Displaying, summarising and describing univariate data
Displaying, summarising and describing bivariate data
Regression
Time series
Number patterns and applications
Ratio and proportion
Introduction
Expressing ratios in their simplest form
Expressing ratios as fractions or percentages of the whole
Dividing quantities in given ratios
Ratio and proportion
Applications of ratio and proportion
Arithmetic and geometric sequences,
Table of Contents provided by Publisher. All Rights Reserved.

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