Categorical data - describes information descriptively rather than numerically., Numerical data - represent values that can be measured and put into a logical order., Probability - the chance that something will happen, or how likely it is that an event will occur., Data - is the study of collecting, organising, presenting, analysing and interpreting data., Discrete data - can be counted., Continuous data - can be measured., Frequency distribution table - has 3 columns. I Score I Tally I Frequency I, Frequency - is the number of times a result or piece of data occurs., Class intervals - are used when data contains too many numerical values., Mean - the average of a set of data., Median - the middle score of a set of data., Mode - the score that is recorded the MOST in a set of data., Range - is the difference between the largest and smallest values., Event - is a result or outcome that may occur. E.g. certain or unlikely, Outcome - is a particular result of an experiment., Favourable outcome - is one that we are looking for., Experiment - is a process that allows us to collect data by performing trials., Outlier - is a data value that is much larger or smaller than the rest of the data values., Sample space - is the list of all possible outcomes of a chance experiment, Shape - refers to how the data values 'look' in the selected graph. I.e. Cluster, trend, distinct gap, outlier, Cluster - is the shape made when data values are close together in a display., Stem and leaf plot - is a visual display of data, Ascending - is numbers ordered from lowest to highest, Theoretical probability formula, Experimental probability formula, Trend - data is increasing or decreasing.,

Statistics

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