(d) Test the hypothesis that females receive the same health benefits as males from visiting a healthcare facility. Use a two-sided test and a 5% level of significance. State your null and alternative hypotheses clearly. Do not construct a confidence interval. (e) Now construct a 99% confidence interval for the coefficient on Visit * Female to conduct the same test as before, but at a differ- ent significance level. Why does your conclusion on the statistical significance of this parameter differ compared to your answer in the previous question?

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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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TABLES AND FIGURES
Source
S
df
MS
Number of obs
50461
F(8;50452)
1505.39
Model
1219.20848
8
152.40106
Prob > F
0.000
R-squared
Adj R-squared
Residual
5107.60526
50452
101236923
0.1927
0.1926
Total
6326.81374
50460
.125382753
Root MSE
.31818
Healthy
Coef.
Std.
Err.
P > \t|
[95% Conf.
Interval]
t
Visit
-.2233062
.0064834
-34.44
0.000
-.2360139
-.2105986
Female
-.0152429
.0032072
-4.75
0.000
-.021529
-.0089568
Visit * Female
.0169439
.007755
?
?
Education
.0102429
.0009555
10.72
0.000
.0083702
.0121156
Education?
-.0000713
.0000501
-1.42
0.155
-.0001696
.0000269
Age
Age?
log (pc HH income)
0023802
.0003827
-6.22
0.000
.0031304
-.0016301
.0000285
4.30e-06
-6.64
0.000
-.000037
-.0000201
.0089642
.001457
6.15
0.000
.0061084
.01182
„cons
.9014951
.0117585
76.67
0.000
.8784484
.9245418
Table 1: Linear Probability Model of Health Status
Transcribed Image Text:TABLES AND FIGURES Source S df MS Number of obs 50461 F(8;50452) 1505.39 Model 1219.20848 8 152.40106 Prob > F 0.000 R-squared Adj R-squared Residual 5107.60526 50452 101236923 0.1927 0.1926 Total 6326.81374 50460 .125382753 Root MSE .31818 Healthy Coef. Std. Err. P > \t| [95% Conf. Interval] t Visit -.2233062 .0064834 -34.44 0.000 -.2360139 -.2105986 Female -.0152429 .0032072 -4.75 0.000 -.021529 -.0089568 Visit * Female .0169439 .007755 ? ? Education .0102429 .0009555 10.72 0.000 .0083702 .0121156 Education? -.0000713 .0000501 -1.42 0.155 -.0001696 .0000269 Age Age? log (pc HH income) 0023802 .0003827 -6.22 0.000 .0031304 -.0016301 .0000285 4.30e-06 -6.64 0.000 -.000037 -.0000201 .0089642 .001457 6.15 0.000 .0061084 .01182 „cons .9014951 .0117585 76.67 0.000 .8784484 .9245418 Table 1: Linear Probability Model of Health Status
(d) Test the hypothesis that females receive the same health benefits as
males from visiting a healthcare facility. Use a two-sided test and a
5% level of significance. State your null and alternative hypotheses
clearly. Do not construct a confidence interval.
(e) Now construct a 99% confidence interval for the coefficient on
Visit * Female to conduct the same test as before, but at a differ-
ent significance level. Why does your conclusion on the statistical
significance of this parameter differ compared to your answer in
the previous question?
Transcribed Image Text:(d) Test the hypothesis that females receive the same health benefits as males from visiting a healthcare facility. Use a two-sided test and a 5% level of significance. State your null and alternative hypotheses clearly. Do not construct a confidence interval. (e) Now construct a 99% confidence interval for the coefficient on Visit * Female to conduct the same test as before, but at a differ- ent significance level. Why does your conclusion on the statistical significance of this parameter differ compared to your answer in the previous question?
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