C08 统计（试用）

对应大纲的内容

M6.1 Interpret and construct tables, charts and diagrams, including:

two-way tables, frequency tables, bar charts, pie charts and pictograms for categorical data
vertical line charts for ungrouped discrete numerical data
tables and line graphs for time series data

Know the appropriate use of each of these representations.

M6.2 Interpret and construct diagrams for grouped discrete data and continuous data:

Know the appropriate use of each of these diagrams.

Understand and use the term frequency density.

M6.3 Calculate the mean, mode, median and range for ungrouped data.

Find the modal class; calculate estimates of the range, mean and median for grouped data, and understand why these are estimates.

Describe a population using statistics.

Make simple comparisons.

Compare data sets using like-for-like summary values.

Understand the advantages and disadvantages of summary values.

Calculate estimates of mean, median, mode, range, quartiles and interquartile range from graphical representation of grouped data.

Use the median and interquartile range to compare distributions.

M6.4 Use and interpret scatter graphs of bivariate data.

Recognise correlation, and know that it does not indicate causation.

Draw estimated lines of best fit.

Interpolate and extrapolate apparent trends whilst knowing the dangers of so doing.

学习目标

Interpret and construct statistical tables, charts, and diagrams for categorical, discrete, and time series data.
Understand, construct, and interpret cumulative frequency graphs and histograms, including those with unequal class intervals using frequency density.
Calculate exact measures of central tendency (mean, median, mode) and spread for ungrouped data, and calculate estimates for grouped data.
Compare data sets using like-for-like summary values (such as the median and interquartile range), understanding their advantages and disadvantages.
Analyse bivariate data using scatter graphs to draw estimated lines of best fit and perform interpolation or extrapolation.
Recognise correlation, understanding the dangers of extrapolation and that correlation does not indicate causation.