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Collins Advanced Maths Topics - Statistics: Analysing data:Paid for download edition

Author:
Format: Digital download
Publication Date: 15-04-2011
ISBN: 978-0-00-744402-1

Regular price RRP £4.80 - In stock special offer

Description

Familiarise students with analysing data required in Statistics A Level in this unit. The chapters cover: data, summary statistics 1 and 2, and coursework in statistics.

Detailed contents:

1 DATA
Information and data; Qualitative data; Quantitative data; Limits
Frequency; Presentation of data; Stem-and-Ieaf displays; Grouped frequency tables
Developing the stem-and-leaf display; Two-part and five-part stems
Histograms; Frequency density polygons and curves
Polygons; Curves; Relative frequency density

2 SUMMARY STATISTICS 1
What we need to know; Location (average) and dispersion (spread)
Measures of location; Mode; Discrete data; Median
Step-by step; Even total; Stem-and-leaf; Grouped frequency table
Histogram; Linear interpolation; Discrete data; Mean; Grouped frequency; Symmetry in data
Weighted means and index numbers; Weighted means
Index numbers; Mean of combined groups of data; Geometric mean

3 SUMMARY STATISTICS 2
Measures of dispersion; Range; Quartile spread; Stem-and-leaf
Grouped frequency table; Graphical approach; Linear interpolation; Discrete data
Comparing distributions; Box-plots and outliers; Standard deviation; Deviation from the mean; Magnitude of deviation from the mean; Squared deviation from the mean
Frequency distribution; Combining collections of data
Outliers and standard deviation; Standardised values

18 COURSEWORK IN STATISTICS
Before you start; The purpose of coursework; Choosing your project; Learning support; The report: presenting your coursework; Questionnaires and surveys; Assessment

• Download all the answers to the Statistics Topics once – all answers are contained in the Statistics Answers PDF
• Build confidence through hundreds of questions
• Provide students with extensive practice exercises, worked examples and full A-level examination questions.
• Promote understanding through consolidation exercises
• Challenge and broaden your students’ minds with new interpretations of traditional topics in Statistics