• The obtained chi-square statistic equals 29.389. This is computed by squaring the residual for each day, dividing by its expected value, and summing across all days.
  • The term df represents degrees of freedom. In a chi-square test, df is the number of expected values that can vary before the rest are completely determined. For a one-sample chi-square test, df is equal to the number of rows minus 1.
Asymp. Sig. is the estimated probability of obtaining a chi-square value greater than or equal to 29.389 if patients are discharged evenly across the week. The low significance value suggests that the average rate of patient discharges really does differ by day of the week.