(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?
(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?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Topic Video
Question
![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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F87b53351-2067-4a4d-a81c-a5cf0ffaa5a8%2Fa64384d9-1b53-48c7-8b75-a22ac10481c6%2F17hapae_processed.jpeg&w=3840&q=75)
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?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F87b53351-2067-4a4d-a81c-a5cf0ffaa5a8%2Fa64384d9-1b53-48c7-8b75-a22ac10481c6%2F4y2cfu_processed.jpeg&w=3840&q=75)
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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