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1.) Problem: You are applying for jobs after graduating and are looking at a particular company. Youve heard that they dont• dfz (degrees of freedom, Sample 2): • Sz(estimated variance, Population 2): • dfrotal (total degrees of freedom): • Spooled

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Answer #1

POPULATION 1: SALARIED WOMEN

POPULATION 2: SALARIED MED

RESERACH HYPOTHEIS Ha: Average income of salried women is less than Average income of salaried men.

HA: \mu1< \mu 2 LEFT TAILED TEST.

NULL HYPOTHESIS H0: Average income of salaried women is equal to average income of salried men.

H0: \mu1= \mu 2

b]

WOMEN (SAMPLE 1) MEN SAMPLE 2) 49 51 MEAN SD VARIANCE 43 46.42857143 3.408672413 11.61904762 48.83333333 MEAN 2.316606714 SD

DF1= 7-1=6

DF2= 6-1=5

DF (TOTAL)= n1+n2-1= 7+6-2= 11

s^2 pooled variance= ((n1-1)*s1^2+(n2-1)*s2^2)/(n1+n2-2)= 7*11.62+5*5.37/11= 8.78915

POOLED STANDARD DEVIATION= SQRT(8.78915)= 2.965

STANDARD ERROR OF DIFFERENCE= 1.645

WHEN VARIANCES ARE EQUAL 7 Pooled Variance= 3.41 S.D 6 S.E 2.32 s112 46.43 s2^2 48.83 DIFFERENCE OF MEANS 8.78915 2.96465 1.6

t score= DIFFERENCE OF MEANS/STANDARD ERROR OF DIFFERENCE

t score= -2.4/1.65

t score= -1.455

LEVEL OF SIGNIFICANCE =0.01

t critical value= -2.718

Since t critical statistic SMALLER THAN t cal for left tailed test therefore NOT SIGNIFICANT

DECISION: DO NOT REJECT H0.

CONCLUSION:WE DO NOT HAVE SUFFICIENT EVIDENCE TO SHOW THAT Average income of salried women is less than Average income of salaried men at 0.01

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