Employee selective informationI . DataThe employee data contains information on 1005 employees on the following characteristics : sexuality , educational level , minority classification , beginning fee and previous experienceII . lineaments of variablesVariable TypeGender nominalEducational take aim ordinalMinority categorisation ordinalBeginning fee separation precedent Experience interval III . Descriptive Statistics - relative relative frequency dispersalsA . frequence dispersions of the Nominal Variables tabularize 1 : Frequency diffusion gibe To Gender Figure 1 : Graphical Distribution consort To Gender B . Frequency Distributions of the legal separation Level VariablesTable 3 : Frequency Distribution According To Beginning payment Figure 3 : Distribution According to Beginning Salary Figure 4 : Distribution speckle According to ExperienceTable 4 : Frequency Distribution According Previous Experience C . Frequency Distribution of Ordinal 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 , median value 15000 , agency 15000Previous Experience interval Mean (95 .86 , Median (55 , Mode (0 T-TESTSFrom ! the gathered information about the employees , I would like to match the means in the beginning payment between the young-be fareting(prenominal) and the female . Using an independent t-test , I constructed the hypotheses as followsNull hypothesisThere is no contrast between the male and female s average beginning salaryAlternative hypothesisThere is a difference between the male and female s...If you want to get a full essay, coordinate it on our website: OrderCustomPaper.com
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