Data types

• Define population

  This is all the individuals that can be sampled
• Define a sample

  This is a selection from the population
• Define subjects/units/cases

  These are the individual items within a sample.
• Define observations

  This is equivalent to data and is what you collected from the study.
• Define variables/fields.

  These are the differences that you are studying
• State the 4 measurements of scale

  Ordinal, Nominal, Interval and ratio.
• What are the two categories for data

  Quantitative and qualitative
• What type of data is numerical

  Quantitative
• What type of data is non-numerical

  qualitative
• What are the classifications of qualitative

  Categorical and non-categorical
• What are the classififcations of categorical qualititative data

  Ordinal and nominal
• Define ordinal data

  Thus is non-numerical data that has a non-mathematical order
• Define nominal data

  This is non-numerical data that has no order.
• What type of data is colour

  Qualitative, Categorical and nominal.
• What type of data is hot to cold

  Qualitative, categorical and ordinal.
• What is discrete data

  Data wich can only take certain values
• What is continous data

  Data that can take any value
• What are the divisions of quantitative data

  Discrete and continous
• What are the divisions of continous data

  Interval and ratio
• What is interval data

  This is numerical data where 0 is not a true 0.
• What is ratio data

  This is numerical data where 0 is a true 0.
• What type of data is age

  Quantitative, continuous, ratio.
• What type of data is tempreature

  Quantitative, continuous, interval.
• What type of data is the number of pens

  Quantitative, discrete.
• Definne descriptive statistics

  These describe data
• Define inferential statistics

  These allow you to reach conclusions about data
• Give 2 examples of descriptive statistics

  Measures of central tendency and dispersion
• Give 2 examples of inferential statistics

  Hypothesis testing and regression analysis.