Paired Samples Statistics Std Deviation Std. Error Mean Mean N Pair 1 Total Number of Beds 108.13 400 53.642 2.682 for profit=1, nonprofit and GV=0 .7075 400 .45548 .02277 Paired Samples Correlations...

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)?

What would be the appropriate test be to answer the research question above assuming 1) normal distribution and 2) skewed data distribution?

Explain results, conclusions, assumptions

Extracted text: Paired Samples Statistics Std Deviation Std. Error Mean Mean N Pair 1 Total Number of Beds 108.13 400 53.642 2.682 for profit=1, nonprofit and GV=0 .7075 400 .45548 .02277 Paired Samples Correlations N Correlation Sig. Pair 1 Total Number of Beds & for profit=1, nonprofit and GV=0 400 .112 .024 Paired Samples Test Paired Differences 95% Confidence Interval of the Difference Std. Deviation Std. Error Mean Sig. (2- tailed) Mean Lower Upper df Pair 1 Total Number of Beds - for profit=1, nonprofit and GV=0 107.42500 53.59296 2.67965 102.15701 112.69299 40.089 399 .000 Paired Samples Effect Sizes Standardizera 95% Confidence Interval Point Estimate Lower Upper Pair 1 Total Number of Beds - Cohen's d for profit=1, nonprofit and GV=0 53.593 2.004 1.834 2.174 Hedges' correction 53.643 2.003 1.832 2.172 a. The denominator used in estimating the effect sizes. Cohen's d uses the sample standard deviation of the mean difference. Hedges' correction uses the sample standard deviation of the mean difference, plus a correction factor.