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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