One-Sample Statistics Std. Deviation Std. Error Mean Mean Total Number of Beds 400 108.13 53.642 2.682 One-Sample Test Test Value = 0 95% Confidence Interval of the Difference Sig. (2- tailed) Mean...

A health care researcher would like to answer the following research question: On average, are for-profit nursing homes larger (based on total number of beds) than facilities of another type (non-profit and governmental)

Please help interpret results, conclusions and assumptions of images attached in regards to utilzing normal distribution as being the appropriate test for research question above?

Extracted text: One-Sample Statistics Std. Deviation Std. Error Mean Mean Total Number of Beds 400 108.13 53.642 2.682 One-Sample Test Test Value = 0 95% Confidence Interval of the Difference Sig. (2- tailed) Mean Difference df Lower Upper Total Number of Beds 40.316 399 .000 108.133 102.86 113.41 One-Sample Effect Sizes Standardizera 95% Confidence Interval Point Estimate Lower Upper Total Number of Beds Cohen's d 53.642 2.016 1.845 2.186 Hedges' correction 53.743 2.012 1.841 2.182 a. The denominator used in estimating the effect sizes. Cohen's d uses the sample standard deviation. Hedges' correction uses the sample standard deviation, plus a correction factor.


Extracted text: One-Sample Statistics Std. Deviation Std. Error Mean Mean for profit=1, nonprofit and GV=0 400 .7075 .45548 .02277 One-Sample Test Test Value = 0 95% Confidence Interval of the Difference Sig. (2- tailed) Mean Difference df Lower Upper for profit=1, nonprofit and GV=0 31.066 399 .000 .70750 .6627 .7523 One-Sample Effect Sizes Standardizera 95% Confidence Interval Point Estimate Lower Upper for profit=1, nonprofit and GV=0 Cohen's d .45548 1.553 1.407 1.698 Hedges' correction .45634 1.550 1.405 1.695 a. The denominator used in estimating the effect sizes. Cohen's d uses the sample standard deviation. Hedges' correction uses the sample standard deviation, plus a correction factor.