Reply 1
•
Comparing Data Sets
•
using an average, the spread and the skew
•
Peterson Capture Recapture Method
•
Stratified sampling
•
Planning for an investigation
•
how to control extraneous variables including using matched pairs
•
Histogram with unequal class intervals
•
Box and Whisker diagrams
•
Calculating Standard deviation, calculating skew, geometric mean
•
Scatter diagrams and correlation
•
(correlation not causation), PMCC, Equation of line
•
Spearman’s Rank Correlation Coefficient
•
Moving Averages (although time series and seasonal variation was in Paper 1)
•
Probability - evaluating risk and test for independent events
•
Index Numbers
•
Percentages within normal distribution
i think these ones, but this is just a good guess so they might not come up and other ones could come up
Reply 2
Q1 = Box and whiskers Diagrams
Q2 = Chloropleth Maps and Censuses
Q3 = Petersen capture recapture
Q4 = Extended response on investigation plans and improvements
Q5 = Comparing data sets and experiments + sampling key words
Q6 = Representing data and Risk
Q7 = Index numbers, chain index, crude rates of change, CPI and RPI, Examples of secondary data
Q8 = Venn diagrams and Conditional probability
Q9 = Stem and leaf diagrams, airthmetic mean, outliers (+calc), skew, evaluating different ways to represent data graphically
Q10 = Stratified sampling and Pilot studies
Q11 = All about normal distributions including comparisons and %
Q12 = All about correlation and regression including scatter plots, PMCC, averages and correlation calculations
https://docs.google.com/document/d/1dYDVL2030NSnuQ7LiaXmA_LspHK8YAC73_4SHacYfO0/edit?usp=sharing
Topics not on there but high probabiliyt (because I thought they couldn't be fitted onto the 80 marks as they were the easier stuff):
Geometric means
Skew calculations
Controlling extraneous variables
Standardized rates of change
Cleaning data
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