Writing Assaigment

Employee infoI . DataThe employee data contains information on 1005 employees on the following characteristics : gender , educational level , minority classification , beginning lucre and previous experienceII . eccentrics of variablesVariable TypeGender nominalEducational level ordinalMinority categorisation ordinalBeginning recompense separation former Experience interval III . Descriptive Statistics - relative frequence disseminationsA . frequency diffusions of the Nominal Variables tabularize 1 : Frequency statistical distribution gibe To Gender Figure 1 : Graphical Distribution consort To Gender B . Frequency Distributions of the detachment Level VariablesTable 3 : Frequency Distribution According To Beginning compensation Figure 3 : Distribution According to Beginning Salary Figure 4 : Distribution speckle Ac cording 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(a) 15000 , personal manner 15000Previous Experience interval Mean (95 .86 , Median (55 , Mode (0 T-TESTSFrom the g! athered information about the employees , I would like to equate the means in the beginning payment between the young-be ragting(prenominal) and the womanly . Using an independent t-test , I constructed the hypotheses as followsNull hypothesisThere is no diversion 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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