Using the poverty data set determine if there is a difference in infant mortality between the six regions of the world. Assume the distribution is normal. I have answered the question but first I want to make sure it is correct second, there is missing parts that I did not know how to answer can you answer them for me the Fisher LSD differences, Tukey HSD differences and interpretation part

here is the data link:

https://1drv.ms/x/s!AhyxeLhOUYWegl6RZs51Ej0EzxOW

ANOVA
Infant Mortality
	Sum of Squares	df	Mean Square	F	Sig.
Between Groups	115489.814	5	23097.963	24.000	.000
Within Groups	87580.696	91	962.425
Total	203070.510	96

Multiple Comparisons
Dependent Variable: Infant Mortality
	(I) Region	(J) Region	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
	Lower Bound	Upper Bound
Tukey HSD	1	2	-33.9523	12.9497	.102	-71.653	3.749
3	9.5148	11.7536	.965	-24.704	43.734
4	-30.2091	13.2282	.211	-68.721	8.303
5	-50.3508*	12.0044	.001	-85.300	-15.402
6	-82.4199*	11.0968	.000	-114.726	-50.113
2	1	33.9523	12.9497	.102	-3.749	71.653
3	43.4671*	11.4392	.003	10.164	76.771
4	3.7432	12.9497	1.000	-33.958	41.444
5	-16.3985	11.6968	.726	-50.452	17.655
6	-48.4676*	10.7632	.000	-79.803	-17.132
3	1	-9.5148	11.7536	.965	-43.734	24.704
2	-43.4671*	11.4392	.003	-76.771	-10.164
4	-39.7239*	11.7536	.013	-73.943	-5.505
5	-59.8656*	10.3570	.000	-90.018	-29.713
6	-91.9347*	9.2897	.000	-118.980	-64.889
4	1	30.2091	13.2282	.211	-8.303	68.721
2	-3.7432	12.9497	1.000	-41.444	33.958
3	39.7239*	11.7536	.013	5.505	73.943
5	-20.1417	12.0044	.550	-55.091	14.807
6	-52.2108*	11.0968	.000	-84.517	-19.904
5	1	50.3508*	12.0044	.001	15.402	85.300
2	16.3985	11.6968	.726	-17.655	50.452
3	59.8656*	10.3570	.000	29.713	90.018
4	20.1417	12.0044	.550	-14.807	55.091
6	-32.0691*	9.6051	.015	-60.033	-4.105
6	1	82.4199*	11.0968	.000	50.113	114.726
2	48.4676*	10.7632	.000	17.132	79.803
3	91.9347*	9.2897	.000	64.889	118.980
4	52.2108*	11.0968	.000	19.904	84.517
5	32.0691*	9.6051	.015	4.105	60.033
LSD	1	2	-33.9523*	12.9497	.010	-59.675	-8.229
3	9.5148	11.7536	.420	-13.832	32.862
4	-30.2091*	13.2282	.025	-56.485	-3.933
5	-50.3508*	12.0044	.000	-74.196	-26.505
6	-82.4199*	11.0968	.000	-104.462	-60.377
2	1	33.9523*	12.9497	.010	8.229	59.675
3	43.4671*	11.4392	.000	20.744	66.190
4	3.7432	12.9497	.773	-21.980	29.466
5	-16.3985	11.6968	.164	-39.633	6.836
6	-48.4676*	10.7632	.000	-69.847	-27.088
3	1	-9.5148	11.7536	.420	-32.862	13.832
2	-43.4671*	11.4392	.000	-66.190	-20.744
4	-39.7239*	11.7536	.001	-63.071	-16.377
5	-59.8656*	10.3570	.000	-80.439	-39.293
6	-91.9347*	9.2897	.000	-110.388	-73.482
4	1	30.2091*	13.2282	.025	3.933	56.485
2	-3.7432	12.9497	.773	-29.466	21.980
3	39.7239*	11.7536	.001	16.377	63.071
5	-20.1417	12.0044	.097	-43.987	3.704
6	-52.2108*	11.0968	.000	-74.253	-30.168
5	1	50.3508*	12.0044	.000	26.505	74.196
2	16.3985	11.6968	.164	-6.836	39.633
3	59.8656*	10.3570	.000	39.293	80.439
4	20.1417	12.0044	.097	-3.704	43.987
6	-32.0691*	9.6051	.001	-51.148	-12.990
6	1	82.4199*	11.0968	.000	60.377	104.462
2	48.4676*	10.7632	.000	27.088	69.847
3	91.9347*	9.2897	.000	73.482	110.388
4	52.2108*	11.0968	.000	30.168	74.253
5	32.0691*	9.6051	.001	12.990	51.148
*. The mean difference is significant at the 0.05 level.

hypotheses	H0: 1 = 2= 3 = 4 Ha: not all are equal
	0.05
TS	24.00
p	<0.001
conclusion	reject the null hypothesis and conclude that there is a statistically significant difference in the mean infant mortality rates across the six regions
Fisher LSD differences
Tukey HSD differences
interpretation