data analysis

    Cards (21)

    • Graphs
      Types of graph
    • Bar Charts
      • Uses bars to describe categorical data
      • As the data are discrete (not continuous) there are gaps between the bars
    • Scatter diagrams and correlations
      • Only used for correlations
      • Shows a relationship between two variables
      • We add a line of best fit
    • In psychology, data may be presented a number of ways but this will depend on type of data collected (quantitative or qualitative)
    • You will not be required to carry out any calculations in the exam BUT you do need to be able to name, recognise, + in some cases draw + interpret data
    • Measures of Central Tendency
      • Inform us about central (middle) values for a set a data
      • They are 'averages' + can be calculated in different ways
    • Mode
      Most frequently occurring value
    • Median
      Middle value when scores are arranged in descending order
    • Mean
      Arithmetic average (add up all scores + divide by number of scores)
    • The Mean
      • You experiment consists of 20 people standing on one leg for as long as they can, so you add up all their times + divide by 20 to get mean (mean length of time that people can stand on one leg for)
    • The Median
      The middle value when all the scores are in order
    • The Median
      • Easy to calculate with a small data set
      • Hard to calculate with a large data set
    • The Mode
      The most frequently occurring score
    • The Mode
      • Easy with a small data set
      • Doesn't take into account all data
    • Measures of Spread/Dispersion
      Describe how dispersed or spread out data items are
    • Range
      Difference between highest + lowest item in a set of data. Usually 1 is added to balance out bottom + top values.
    • Standard deviation
      Shows amount of variation in a data set. It assesses spread of data/difference between data points + mean.
    • Groups with scores that are more spread out have larger SDs, groups with closely clustered scores have smaller SDs
    • The range
      Difference between highest + lowest value
    • The range
      • Easy to calculate and quick
      • Impacted by extreme scores
    • Normal Distributions
      • The mean, mode + median are in the centre
      • Has 50% of the scores to the left and 50% to the right
      • Symmetrical
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