Chi-squared test

• The chi-squared test

  • Used when handling frequency data
  • Looks at differences between frequencies between groups/categories
  • Used to determine whether these differences are significantly different from what you would expect
  • Total number of observations must be large
  • Each of the observations must be independent of each other
• The null hypothesis should state that there is no significant difference between the observed and expected results
• If the test statistic > critical value, the difference is significant so the null hypothesis is rejected
• If the test statistic < critical value, the difference is not significant so the null hypothesis is accepted