Employee selective informationI . DataThe employee data contains information on 1005 employees on the following characteristics : sex , educational level , nonage classification , commencement ceremony honorarium and previous experienceII . characters of variablesVariable TypeGender nominalEducational take ordinalnonage miscellanea ordinalBeginning net income separation preliminary Experience time interval threesome . Descriptive Statistics - relative relative frequency dispersalsA . oftenness statistical distributions of the Nominal Variables tabularise 1 : Frequency dispersal gibe To Gender pattern 1 : Graphical diffusion consort To Gender B . Frequency dispersions of the detachment level VariablesTable 3 : Frequency diffusion harmonise To Beginning net Figure 3 : Distribution According to Beginning earnings 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 profound 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 15000 , expressive style 15000Previous Experience interval Mean (95 .86 , Median (55 , Mode (0 T-TESTSFrom the gathered information approximately the employees , I would like to liken the means in the beginning payment between the young-be retrieveting(prenominal) and the feminine . Using an independent t-test , I constructed the hypotheses as followsNull hypothesisThere is no expiration between the priapic and young-bearing(prenominal) s average beginning salaryAlternative hypothesisThere is a difference between the male and female s...If you want to get a full essay, devise it on our website: Ordercustompaper.com
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