Writing Assaigment

Employee dataI . DataThe employee data contains information on 1005 employees on the following characteristics : sex activity , educational level , nonage classification , low gear wages and previous experienceII . attributes of variablesVariable TypeGender nominalEducational level ordinal minority compartmentalization ordinalBeginning profit separation former Experience breakup tether . Descriptive Statistics - relative oftenness diffusionsA . oftenness dispersions of the Nominal Variables set 1 : Frequency dispersion gibe To Gender class 1 : Graphical dispersion consort To Gender B . Frequency distributions of the detachment train VariablesTable 3 : Frequency dispersion check To Beginning honorarium Figure 3 : Distribution According to Beginning fee Figure 4 : Distribution speckle According to ExperienceTable 4 : Frequency Distribution According Previous Experience C . Frequency Distribution of no. VariableTable 5 : Frequency Distribution According To Educational Level Table 6 : Frequency Distribution According to Minority Classification III . Data s -Measures of profound endeavorA .

Measures of central Tendency for the nominal variablesVariable Type MeasuresGender nominal mode B . Measures of Central Tendency for the Interval VariablesVariable Type Measure (valueBeginning Salary interval look upon 17016 .09 , average 15000 , direction 15000Previous Experience interval Mean (95 .86 , Median (55 , Mode (0 T-TESTSFrom the gathered information almost the employees , I would like to compare the means in the beginning payment between the young-be give riseting(prenominal) and the womanish . Using an independent t-test , I constructed the hypotheses as followsNull hypothesisThere is no distinction between the potent and female s average beginning salaryAlternative hypothesisThere is a difference between the male and female s...If you want to get a full essay, unionise it on our website: Ordercustompaper.com

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