STATISTICS

You should be able to

 

 differentiate between types of data;

 

Discrete and continuous variables.

Ungrouped and grouped data.

 

 construct a frequency table for a given set of data;

 

Ungrouped and grouped data.

 

 determine class features for a given set of data;

 

Class interval, class boundaries, class limits, class midpoint, class width.

 

 construct statistical diagrams;

 

Pie charts, bar charts, line graphs, histograms and frequency polygons.

 

 interpret statistical diagrams;

 

Pie charts, bar charts, line graphs, histograms and frequency polygons.

 

 determine measures of central tendency for raw, ungrouped and grouped data;

 

Mean, median and mode.

 determine when it is most appropriate to use the mean, median and mode as the average for a set of data;

 

Mean, median and mode as measures of central tendency.

 

 determine the measures of dispersion (spread) for raw, ungrouped and grouped data;

 

Range, interquartile range and semi-interquartile range.

 

 

 construct a cumulative frequency table for ungrouped and grouped data;

 

 

 draw cumulative frequency curve (Ogive);

 

Appropriate scales for axes. Class boundaries as domain.

 

 use statistical diagrams;

 

Mean, mode, median, quartiles range, interquartile range, semi-interquartile range.

 

 determine the proportion or percentage of the sample above or below a given value from raw data, table or cumulative frequency curve;

 

 

 identify the sample space for sample experiment;

 

Set of all possible outcomes.

 

 determine experimental and theoretical probabilities of events;

 

 

 make inference(s) from statistics.

 

Raw data, tables, diagrams.