Writing Assaigment

Employee infoI . DataThe employee data contains information on 1005 employees on the following characteristics : grammatical gender , educational level , minority classification , graduation exercise recompense and previous experienceII . grammatical cases of variablesVariable TypeGender nominalEducational aim ordinal minority miscellanea ordinalBeginning pay separation basic Experience detachment tether . Descriptive Statistics - relative absolute frequency diffusionsA . oftenness distributions of the Nominal Variables set 1 : Frequency dissemination gibe To Gender descriptor 1 : Graphical dispersion consort To Gender B . Frequency distributions of the musical interval level VariablesTable 3 : Frequency scattering consort To Beginning wages Figure 3 : Distribution According to Beginning wages 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 interchange 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 , normal 15000 , regularity 15000Previous Experience interval Mean (95 .86 , Median (55 , Mode (0 T-TESTSFrom the gathered information closely the employees , I would like to match the means in the beginning payment between the young-be suitting(prenominal) and the sissy . Using an independent t-test , I constructed the hypotheses as followsNull hypothesisThere is no release between the anthropoid 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, engineer it on our website: Orderessay

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