Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05. Q) If a participant has the same corneal thickness in their normal eye as the eye with Glaucoma, what would be the value for difference: measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma.

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Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured
the difference in corneal thickness (in microns) between the two eyes of eight patients.
Each patient had one eye that had glaucoma and one eye that was normal. The
difference was measured as the corneal thickness of normal eye – corneal thickness
of eye with Glaucoma. Corneal thickness is important because it can mask an
accurate reading of eye pressure.
Use ? = .05.

Q) If a participant has the same corneal thickness in their normal eye as the
eye with Glaucoma, what would be the value for difference: measured as
the corneal thickness of normal eye – corneal thickness of eye with
Glaucoma. 

: Corneal_Diff
Visible: 2 of 2 Variables
Patient
Corneal Diff
var
var
var
var
1
1
-4.00
2
.00
3
12.00
4
4
18.00
5
-4.00
6
6
-12.00
7
6.00
8
8
16.00
9
10
11
12
13
14
15
Data View Variable View
Case... IBM SPSS Statistics Processor is ready
Unicode:ON Classic
3.
7.
2.
Transcribed Image Text:: Corneal_Diff Visible: 2 of 2 Variables Patient Corneal Diff var var var var 1 1 -4.00 2 .00 3 12.00 4 4 18.00 5 -4.00 6 6 -12.00 7 6.00 8 8 16.00 9 10 11 12 13 14 15 Data View Variable View Case... IBM SPSS Statistics Processor is ready Unicode:ON Classic 3. 7. 2.
tatistics Viewer
sform
Įnsert
Format
Analyze
Graphs
Utilities
Extensions
Window
Help
Paired Samples Statistics
Mean
Std. Deviation
Std. Error Mean
Pair 1
Patient
4.50
8
2.449
.866
Corneal thickness
4.0000
8
10.74377
3.79850
difference (normal-
glaucoma) microns
Paired Samples Correlations
Significance
Correlation One-Sided p Two-Sided p
Pair 1
Patient & Corneal
8
.206
312
.624
thickness difference
(normal-glaucoma)
microns
Paired Samples Test
Paired Differences
Significance
95% Confidence Interval of the
Difference
Mean
Std. Deviation
Std. Error Mean
Lower
Upper
df
One-Sided p Two-Sided p
Pair 1
Patient - Corneal thickness
.50000
10.51529
3.71772
-8.29101
9.29101
.134
7
.448
.897
difference (normal-
glaucoma) microns
Paired Samples Effect Sizes
95% Confidence Interval
Standardizer Point Estimate
Lower
Upper
Pair 1
Patient - Corneal thickness
Cohen's d
7.792
.064
-.632
.756
difference (normal-
glaucoma) microns
Hedges' correction
8.773
.057
-.561
.671
a. The denominator used in estimating the effect sizes.
Cohen's d uses the square root of the average variance of measures.
Hedges' correction uses the square root of the average variance of measures, plus a correction factor.
Transcribed Image Text:tatistics Viewer sform Įnsert Format Analyze Graphs Utilities Extensions Window Help Paired Samples Statistics Mean Std. Deviation Std. Error Mean Pair 1 Patient 4.50 8 2.449 .866 Corneal thickness 4.0000 8 10.74377 3.79850 difference (normal- glaucoma) microns Paired Samples Correlations Significance Correlation One-Sided p Two-Sided p Pair 1 Patient & Corneal 8 .206 312 .624 thickness difference (normal-glaucoma) microns Paired Samples Test Paired Differences Significance 95% Confidence Interval of the Difference Mean Std. Deviation Std. Error Mean Lower Upper df One-Sided p Two-Sided p Pair 1 Patient - Corneal thickness .50000 10.51529 3.71772 -8.29101 9.29101 .134 7 .448 .897 difference (normal- glaucoma) microns Paired Samples Effect Sizes 95% Confidence Interval Standardizer Point Estimate Lower Upper Pair 1 Patient - Corneal thickness Cohen's d 7.792 .064 -.632 .756 difference (normal- glaucoma) microns Hedges' correction 8.773 .057 -.561 .671 a. The denominator used in estimating the effect sizes. Cohen's d uses the square root of the average variance of measures. Hedges' correction uses the square root of the average variance of measures, plus a correction factor.
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