BOOK
Edexcel GCSE (9-1) Statistics Student Book
Gill Dyer | Jane Dyer | Kathryn Hipkiss | David Kent | Navtej Marwaha | Author
(2017)
Additional Information
Book Details
Abstract
Exam Board: Edexcel
Level: GCSE
Subject: Statistics
First teaching: September 2017
First exams: June 2019
Developed in line with the key principles of the new specification, our new Student Book for Edexcel GCSE (9-1) Statistics:
- gives you comprehensive and accessible support for the new Edexcel GCSE (9-1) Statistics specification
- includes engaging opportunities to work with authentic data – plenty of real-life statistics in every unit to bring the subject to life and highlight important applications
- helps students prepare for the new linear exams – includes more support for exam preparation than ever before.
Table of Contents
Section Title | Page | Action | Price |
---|---|---|---|
Front Cover | Front Cover | ||
Contents | 3 | ||
How to use this book | 5 | ||
Chapter 1: Collection of data | 6 | ||
1.1: Describing data | 7 | ||
1.2: Grouping data | 9 | ||
1.3: Primary and secondary data | 14 | ||
1.4: Populations | 17 | ||
1.5: Petersen capture–recapture formula | 20 | ||
1.6: Random sampling | 22 | ||
1.7: Non-random sampling | 24 | ||
1.8: Stratified sampling | 27 | ||
1.9: Collection of data | 29 | ||
1.10: Questionnaires and interviews | 33 | ||
1.11: Problems with collected data | 38 | ||
1.12: Controlling extraneous variables | 40 | ||
1.13: Hypotheses | 43 | ||
1.14: Designing investigations | 44 | ||
Check up | 46 | ||
Strengthen | 48 | ||
Extend | 51 | ||
Summary | 54 | ||
Test | 55 | ||
Chapter 2: Processing and representing data | 56 | ||
2.1: Tables | 57 | ||
2.2: Two-way tables | 61 | ||
2.3: Pictograms | 64 | ||
2.4: Bar charts | 67 | ||
2.5: Stem and leaf diagrams | 72 | ||
2.6: Pie charts | 76 | ||
2.7: Comparative pie charts | 79 | ||
2.8: Population pyramids | 83 | ||
2.9: Choropleth maps | 89 | ||
2.10: Histograms and frequency polygons | 94 | ||
2.11: Cumulative frequency charts | 98 | ||
2.12: The shape of a distribution | 103 | ||
2.13: Histograms with unequal class widths | 107 | ||
2.14: Misleading diagrams | 113 | ||
2.15: Choosing the right format | 116 | ||
Check up | 121 | ||
Strengthen | 126 | ||
Extend | 131 | ||
Summary | 135 | ||
Test | 137 | ||
Chapter 3: Summarising data | 140 | ||
3.1: Averages | 141 | ||
3.2: Averages from frequency tables | 144 | ||
3.3: Averages from grouped data | 148 | ||
3.4: Transforming data | 155 | ||
3.5: Geometric mean and weighted mean | 158 | ||
3.6: Measures of dispersion for discrete data | 161 | ||
3.7: Measures of dispersion for grouped data | 164 | ||
3.8: Standard deviation | 170 | ||
3.9: Box plots and outliers | 175 | ||
3.10: Skewness | 180 | ||
3.11: Deciding which average to use | 183 | ||
3.12: Comparing data sets | 186 | ||
3.13: Making estimates | 191 | ||
Check up | 194 | ||
Strengthen | 197 | ||
Extend | 200 | ||
Summary | 202 | ||
Test | 204 | ||
Chapter 4: Scatter diagrams and correlation | 206 | ||
4.1: Scatter diagrams | 207 | ||
4.2: Correlation | 210 | ||
4.3: Causal relationships | 212 | ||
4.4: Line of best fit | 217 | ||
4.5: Interpolation and extrapolation | 219 | ||
4.6: The equation of a line of best fit | 224 | ||
4.7: Spearman’s rank correlation coefficient | 228 | ||
4.8: Calculating Spearman’s rank correlation coefficient | 231 | ||
4.9: Pearson’s product moment correlation coefficient | 233 | ||
Check up | 237 | ||
Strengthen | 239 | ||
Extend | 241 | ||
Summary | 242 | ||
Test | 243 | ||
Chapter 5: Time series | 244 | ||
5.1: Line graphs and time series | 245 | ||
5.2: Trend lines | 248 | ||
5.3: Variations in a time series | 250 | ||
5.4: Moving averages | 253 | ||
5.5: Estimating seasonal variations and making predictions | 257 | ||
Check up | 264 | ||
Strengthen | 266 | ||
Extend | 267 | ||
Summary | 269 | ||
Test | 270 | ||
Chapter 6: Probability | 272 | ||
6.1: The meaning of probability | 273 | ||
6.2: Experimental probability | 277 | ||
6.3: Using probability to assess risk | 280 | ||
6.4: Sample space diagrams | 282 | ||
6.5: Venn diagrams | 285 | ||
6.6: Mutually exclusive and exhaustive events | 290 | ||
6.7: The general addition law | 294 | ||
6.8: Independent events | 296 | ||
6.9: Tree diagrams | 298 | ||
6.10: Conditional probability | 302 | ||
6.11: The formula for conditional probability | 306 | ||
Check up | 308 | ||
Strengthen | 310 | ||
Extend | 313 | ||
Summary | 315 | ||
Test | 317 | ||
Chapter 7: Index numbers | 318 | ||
7.1: Index numbers | 319 | ||
7.2: RPI, CPI and GDP | 322 | ||
7.3: Chain base index numbers | 326 | ||
7.4: Rates of change | 328 | ||
Check up | 334 | ||
Strengthen | 336 | ||
Extend | 338 | ||
Summary | 339 | ||
Test | 340 | ||
Chapter 8: Probability distributions | 342 | ||
8.1: Binomial distributions | 343 | ||
8.2: Normal distributions | 347 | ||
8.3: Standardised scores | 355 | ||
8.4: Quality assurance and control charts | 356 | ||
Check up | 362 | ||
Strengthen | 364 | ||
Extend | 367 | ||
Summary | 368 | ||
Test | 369 | ||
Thinking statistically | 371 | ||
The statistical enquiry cycle | 371 | ||
Writing a plan | 372 | ||
Calculator skills | 373 | ||
Preparing for your exams | 375 | ||
Collection of data | 375 | ||
Processing and representing data | 376 | ||
Summarising data | 377 | ||
Scatter diagrams and correlation | 378 | ||
Time series | 379 | ||
Probability | 380 | ||
Index numbers | 381 | ||
Probability distributions | 382 | ||
Answers | 383 | ||
Index | 432 | ||
Back Cover | Back Cover |