quantitative

Examples of quantitative in the following topics:

• Graphing Quantitative Variables

  • There are many types of graphs that can be used to portray distributions of quantitative variables.

• Quantitative or Qualitative Data?

  • Different statistical tests are used to test quantitative and qualitative data.
  • Quantitative (numerical) data is any data that is in numerical form, such as statistics, percentages, et cetera.
  • In layman's terms, a researcher studying quantitative data asks a specific, narrow question and collects a sample of numerical data from participants to answer the question.
  • Paired and unpaired t-tests and z-tests are just some of the statistical tests that can be used to test quantitative data.

• References

  • The Visual Display of Quantitative Information (2nd ed. ) (p. 178).

• Data

  • Quantitative data are always numbers.
  • Quantitative data may be either discrete or continuous.
  • The numbers of books (3, 4, 2, and 1) are the quantitative discrete data.
  • Weights are quantitative continuous data because weights are measured.
  • Indicate whether quantitative data are continuous or discrete.

• Variables

  • An important distinction between variables is between qualitative variables and quantitative variables.
  • Quantitative variables are those variables that are measured in terms of numbers.
  • Some examples of quantitative variables are height, weight, and shoe size.
  • The variable "type of supplement" is a qualitative variable; there is nothing quantitative about it.
  • In contrast, the dependent variable "memory test" is a quantitative variable since memory performance was measured on a quantitative scale (number correct).

• Types of Data

  • Data can be categorized as either primary or secondary and as either qualitative or quantitative.
  • Quantitative data always are associated with a scale measure.
  • Money is another common ratio-scale quantitative measure.
  • A more general quantitative measure is the interval scale.
  • Differentiate between primary and secondary data and qualitative and quantitative data.

• Solutions to Exercises in Chapter 2

  • Items 1, 5, 11, and 12 are quantitative discrete; items 4, 6, 10, and 14 are quantitative continuous; and items 2, 3, 7, 8, 9, and 13 are qualitative.

• Review

  • Would the data collected be qualitative, quantitative – discrete, or quantitative – continuous?

• Graphs for Quantitative Data

  • The procedures here can broadly be split into two parts: quantitative and graphical.
  • Quantitative techniques are the set of statistical procedures that yield numeric or tabular output.
  • Some examples of quantitative techniques include:

• Models with Both Quantitative and Qualitative Variables

  • A regression model that contains a mixture of quantitative and qualitative variables is called an Analysis of Covariance (ANCOVA) model.
  • A regression model that contains a mixture of both quantitative and qualitative variables is called an Analysis of Covariance (ANCOVA) model.
  • They are the statistic control for the effects of quantitative explanatory variables (also called covariates or control variables).
  • Demonstrate how to conduct an Analysis of Covariance, its assumptions, and its use in regression models containing a mixture of quantitative and qualitative variables.