[
  {
    "name": "Kruskall Wallis Test",
    "variable1": {
      "name": "independent variable",
      "type": [nominal, ordinal]
    },
    "variable2": {
      "name": "dependent variable",
      "type": [ordinal, interval, ratio]
    },
    "info": ""
  },
  {
    "name": "Mann-Whitney U Test",
    "variable1": {
      "name": "independent variable",
      "type": [nominal, ordinal]
    },
    "variable2": {
      "name": "dependent variable",
      "type": [ordinal, interval, ratio]
    },
    "info": "The Mann-Whitney U test requires that the independent variable consists of just 2
              categorical groups (e.g. questions with yes/no answers). If your independent variable
              contains more groups then the Kruskall Wallis test should be used."
  },
  {
    "name": "Chi-Square Test",
    "variable1": {
      "name": "first variable",
      "type": [nominal, ordinal]
    },
    "variable2": {
      "name": "second variable",
      "type": [nominal, ordinal]
    },
    "info": "The Chi Square test requires that both variables be categorical (i.e. nominal or ordinal).
              Both variables should contain 2 or more distinct categorical groups (e.g.
              2 groups: yes/no answers, 3 groups: low/medium/high income) Furthermore, these groups must
              be independent (i.e. no subjects are in more than one group)."
  },
  {
    "name": "Chi-Square goodness of fit",
    "variable1": {
      "name": "first variable",
      "type": [nominal, ordinal]
    },
    "info": "The Chi Square goodness of fit takes one categorical variable. It is used to see if the
              different categories in that variable follow the same distribution that you would expect.",
    "nullHypothesis": "There is no significant difference between the observed and the expected value."
  }
]