Specification points

Cambridge Cambridge IGCSE Statistics 0479

76 points in 12 topics, with Cambridge's codes and titles.

Codes and titles are read by a script from Cambridge's published specification and have not been checked by a person. What each point covers is in the specification itself: Cambridge’s specification.

1 Data and its collection

1.1 Population, sample, census and representative sample
1.2 Types of sampling
1.3 Bias in sampling methods
1.4 Selecting samples with a random number table
1.5 Open and closed survey questions
1.6 Qualitative, quantitative, discrete and continuous data

2 Representation of data

2.1 Frequency tables and two-way tables
2.2 Charts and diagrams for representing data
2.3 Comparing ways of representing data

3 Frequency distributions

3.1 Ungrouped and grouped frequency distributions
3.2 Class limits, boundaries, midpoints and widths
3.3 Histograms
3.4 Frequency polygons
3.5 Cumulative frequency distributions
3.6 Cumulative frequency polygons and curves

4 Measures of central tendency

4.1 Mean, median and mode of ungrouped data
4.2 Estimating mean and median from grouped data
4.3 Modal class
4.4 Choosing a measure of central tendency

5 Quartiles, percentiles and measures of dispersion

5.1 Quartiles of ungrouped data
5.2 Estimating quartiles and percentiles from grouped data
5.3 Range
5.4 Interquartile range of ungrouped data
5.5 Estimating the interquartile range from grouped data
5.6 Standard deviation
5.7 Choosing a measure of dispersion

6 Transformations of data sets

6.1 Effect of linear changes on mean and standard deviation
6.2 Effect of linear changes on median and interquartile range
6.3 Effect of adding or removing values on a measure
6.4 Mean and standard deviation of combined data sets
6.5 Scaling data using means and standard deviations
6.6 Comparing distributions using averages and spread

7 Probability

7.1 Probability notation
7.2 Probabilities in simple cases
7.3 Probability of an event not happening
7.4 The addition rule
7.5 Mutually exclusive and independent events
7.6 Conditional probability in simple cases
7.7 Tree diagrams

8 Probability distributions

8.1 Probability distributions in tables
8.2 Expectation

9 Crude and standardised rates

9.1 Crude rates
9.2 Why standardised rates are used
9.3 Calculating standardised rates
9.4 Conclusions from crude and standardised rates
9.5 Using crude rates to find numbers of events

10 Index numbers

10.1 Calculating price relatives
10.2 Meaning of a price relative
10.3 Calculating weighted aggregate index numbers
10.4 Interpreting weighted aggregate index numbers
10.5 Limitations of weighted aggregate index numbers

11 Bivariate distributions

11.1 Independent and dependent variables
11.2 Types and strength of correlation
11.3 Scatter diagrams
11.4 Lines of best fit by eye and by semi-averages
11.5 Equation of a line of best fit
11.6 Estimating values from a line of best fit
11.7 Assumptions in using a line of best fit

12 Time series

12.1 Time series graphs
12.2 Why moving averages are used
12.3 Calculating and plotting moving averages
12.4 Trend lines from moving averages
12.5 Seasonal variation and seasonal components
12.6 Predictions from trend and seasonal components