What would be an appropriate test to answer the research question below please explain why utilizing images attached? 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)?

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What would be an appropriate test to answer the research question below please explain why utilizing images attached?

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)?

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.
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.
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