The owner of a fitness center is interested in estimating the difference in mean years that female members have been with the club compared with male members. He wishes to develop a 99​% confidence interval estimate. The data are shown in the accompanying table. Assuming that the sample data are approximately normal and that the two populations have equal​ variances, develop and interpret the confidence interval estimate. Discuss the result. Gender ​(1=Male 2=​Female) Years With the Club Gender ​(1=Male 2=​Female) Years With the Club   1 4.5 1 5.5   2 1 2 2   1 2.5 2 1.5   2 2 2 3.5   2 3.5 1 4   1 3.5 2 1.5   1 5.5 1 4.5   2 1 1 2   1 2 2 4   2 1.5 1 2   2 3.5 2 2   2 6.5 2 3   1 1.5 1 0   1 3 2 3.5   2 1 2 2   1 3 1 5.5   2 4 1 1   2 1.5 2 3   1 1 2 1.5   2 0 1 1   2 2.5 1 4.5   1 3.5 1 2.5   2 4 1 1   1 5.5 2 5   1 2.5 2 6 The 99​% confidence interval for the difference between the two population means for the number of years as members of the fitness club is ?≤​(μ1−μ2​)≤? explain plz

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The owner of a fitness center is interested in estimating the difference in mean years that female members have been with the club compared with male members. He wishes to develop a 99​% confidence interval estimate. The data are shown in the accompanying table. Assuming that the sample data are approximately normal and that the two populations have equal​ variances, develop and interpret the confidence interval estimate. Discuss the result.

Gender
​(1=Male
2=​Female)
Years With the Club
Gender
​(1=Male
2=​Female)
Years With the Club
 
1
4.5
1
5.5
 
2
1
2
2
 
1
2.5
2
1.5
 
2
2
2
3.5
 
2
3.5
1
4
 
1
3.5
2
1.5
 
1
5.5
1
4.5
 
2
1
1
2
 
1
2
2
4
 
2
1.5
1
2
 
2
3.5
2
2
 
2
6.5
2
3
 
1
1.5
1
0
 
1
3
2
3.5
 
2
1
2
2
 
1
3
1
5.5
 
2
4
1
1
 
2
1.5
2
3
 
1
1
2
1.5
 
2
0
1
1
 
2
2.5
1
4.5
 
1
3.5
1
2.5
 
2
4
1
1
 
1
5.5
2
5
 
1
2.5
2
6

The 99​% confidence interval for the difference between the two population means for the number of years as members of the fitness club is

?≤​(μ1−μ2​)≤? explain plz
 
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