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Table 1: Data of Income for Males $52,379 $42,544 $37,488 $49,281 $50,987 $60,705
$66,760 $40,951 $43,902 $45,494 $41,528 $50,746
$45,183 $43,624 $43,993 $41,612 $46,313 $43,944 $56,708
$41,635 $42,182
$41,803 $53,033 $60,568 $41,037 $50,388 $41,950 $44,660
$46,176 $41,420 $45,976 $47,956 $22,529 $48,842 $41,464 $40,285 $41,309 $43,160 $47,573 $44,057 $52,805 $53,046 $42,125 $46,214 $51,630 Table 2: Data of Income for Females $31,862 $40,550′ 36, 048 $30, 752 41 ,817$40, 236 47, 476′ 140, 500 $33,269 $32,684 ‘31,844$34,599 ‘48,748$46,185 236,931 140,416
$29,548 $33,865 $31,067 $33,424 ‘1 35,484 $41,021 347,155 $32,316 $42.1 13 $33,459 $32,462 $35,746 ‘1 31,274 $36,027 ‘1 37,089 ‘1 22,1 17 $41,412 $31,330 ‘1 31,329 $33,184 ‘1 35,301 $32,843 ‘1 38,177 ‘1 40,969 $40,993 $29,688 ‘135,890$34,381 Let 111 = mean income of a male in 2013. Let #2 = mean income of a female in 2013. Compute a 99% confidence interval for the difference in incomes
between males and females in the US. (i) For the sample from population with mean = 1:1 : Determine sample mean E1 and sample standard deviation 51

 
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