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 distribu

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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 based on the t-tests

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.
Transcribed Image 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.
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.
Transcribed Image 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.
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