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)?
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)?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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)?

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.

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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