Is the length of stay is different in a statistically significant way between your hospital sites?

TTest Group Statistics Std. Error HospitalSite_r N Mean Std. Deviation Mean lengh_of_stay 1.00 47 3.43 1.652 .241 2.00 53 3.26 1.416 .195 Independent Samples Test Levene's Test for Equality of Variances ttest for Equality of Means 95% Condence Interval of the Signicance Mean Std. Error Difference F Sig. t df OneSided p TwoSided p Difference Difference Lower Upper lengh_of_stay Equal variances assumed .474 .493 .526 98 .300 .600 .161 .307 .447 .770 Equal variances not .521 91.232 .302 .604 .161 .310 .454 .776 assumed Independent Samples Effect Sizes 95% Confidence Interval Standardizera Point Estimate Lower Upper lengh_of_stay Cohen's d 1.531 .105 .288 .498 Hedges' correction 1.543 .105 .286 .494 Glass's delta 1.416 .114 .280 .507 a. The denominator used in estimating the effect sizes. Cohen's d uses the pooled standard deviation. Hedges' correction uses the pooled standard deviation, plus a correction factor. Glass's delta uses the sample standard deviation of the control group