contingency table

(noun)

a table presenting the joint distribution of two categorical variables

Related Terms

  • bivariate
  • p-value
  • hypergeometric distribution
  • skewed

Examples of contingency table in the following topics:

  • Randomization for two-way tables and chi-square

    • Randomization methods may also be used for the contingency tables.
    • In short, we create a randomized contingency table, then compute a chi-square test statistic.
  • Cross Tabulation

    • Cross tabulation (or crosstabs for short) is a statistical process that summarizes categorical data to create a contingency table.
    • Cross tabulation (or crosstabs for short) is a statistical process that summarizes categorical data to create a contingency table.
    • For example, combines multiple contingency tables and tables of averages.
    • A contingency table is a type of table in a matrix format that displays the (multivariate) frequency distribution of the variables.
    • Probability can be expressed easily from the contingency table by the relative frequencies.
  • Practice 2: Contingency Tables

    • The student will conduct a test for independence using contingency tables.
    • Copy the data provided in Probability Topics Practice 1: Contingency Tables into the table below.
  • Comparing Two Populations: Paired Difference Experiment

    • McNemar's test is applied to $2 \times 2$ contingency tables with matched pairs of subjects to determine whether the row and column marginal frequencies are equal.
    • It is applied to $2 \times 2$ contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal ("marginal homogeneity").
    • A contingency table used in McNemar's test tabulates the outcomes of two tests on a sample of $n$ subjects, as follows:
    • A contingency table used in McNemar's test tabulates the outcomes of two tests on a sample of $n$ subjects.
  • Student Learning Outcomes

  • Contingency tables and bar plots

    • Table 1.32 summarizes two variables: spam and number.
    • A table that summarizes data for two categorical variables in this way is called a contingency table.
    • A table for a single variable is called a frequency table.
    • Table 1.33 is a frequency table for the number variable.
    • If we replaced the counts with percentages or proportions, the table would be called a relative frequency table.
  • Practice 1: Contingency Tables

  • Row and column proportions

    • Table 1.35 shows the row proportions for Table 1.32.
    • A contingency table of the column proportions is computed in a similar way, where each column proportion is computed as the count divided by the corresponding column total.
    • A contingency table for the spam and format variables from the email data set are shown in Table 1.37.
    • A contingency table with column proportions for the spam and number variables.
    • A contingency table with row proportions for the spam and number variables.
  • Contingency Tables

    • A contingency table provides away of portraying data that can facilitate calculating probabilities.
    • The table helps in determining conditional probabilities quite easily.
    • The table displays sample values in relation to two different variables that may be dependent or contingent on one another.
    • Later on, we will use contingency tables again, but in another manner.
    • Complete the probability contingency table.
  • Segmented bar and mosaic plots

    • Contingency tables using row or column proportions are especially useful for examining how two categorical variables are related.
    • Segmented bar and mosaic plots provide a way to visualize the information in these tables.
    • A segmented bar plot is a graphical display of contingency table information.
    • A mosaic plot is a graphical display of contingency table information that is similar to a bar plot for one variable or a segmented bar plot when using two variables.
    • In a similar way, a mosaic plot representing row proportions of Table 1.32 could be constructed, as shown in Figure 1.40.
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