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(PDF) Data Analysis in Management with SPSS Software

   

Added on  2021-01-02

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DATA MANIPULATIONAND STATISTICALMANAGEMENT: SPSS

TABLE OF CONTENTSINTRODUCTION...........................................................................................................................11. SPSS data set...........................................................................................................................12. Calculated BMI........................................................................................................................13. Creation of low activity...........................................................................................................14. Producing a single summarized on each patient group...........................................................25. Commenting on the results......................................................................................................26. Producing a publication quality bar chart of mean activity values..........................................37. Justification of chosen Plot......................................................................................................68. Testing the variables................................................................................................................69. Analysing the relationship between Low-Activity and patient groups:..................................810. Regression analysis on Activity and IBM.............................................................................911. Description on the used Statistical methods........................................................................1112. Presenting comments on effective findings.........................................................................12CONCLUSION..............................................................................................................................12REFERENCES..............................................................................................................................13APPENDIX....................................................................................................................................14

INTRODUCTIONData manipulation is the biggest concern which is required to be considered to have theaccurate and adequate analysis over the data set. However, in the present report there have beenuse of several variables which are being analysed through implicating the several tools. there willbe analysis over data set by measuring various statistical tests. It will be effective and helpfulwith reference to bring accurate outcomes through used information. Moreover, the justificationon used information had been given by the professionals which is relevant with improving theoperational skills. This project is consisting of information based on operating the SPSS tools inanalysing the outcomes through implicated tests.1. SPSS data setIn relation with the 256 sample has been collected on the various variables which havebeen coded and label to have effective outcomes on the data set. By altering the number ofdecimals as well as setting the appropriate measures such as Scale, Ordinal and Nominal to eachvariable which have been used and considered in the data set (Okada and et.al., 2018). However,later the file has been saved as ACTIVITY.sav which is the precise format for SPSS files.Moreover, in relation with bringing the proper analysis over the data set which in turn have beenimpacting on using the data base for the further measurement and calculations.2. Calculated BMITo measure the BMI of the data base which has been used by researchers. Therefore, inrelation with calculating BMI of Height and Weight of patients there have been use of formulawith the help of computing variables in transform tool (Sivam, and et.al., 2018). The formulawas implicated by selecting the variables such as Height and Weight as BMI= Weight/ Height2).However, by this technique there have been creation of a variables label as BMI.3. Creation of low activityBy considering the activity performed by patients per minute there have been sorting of theefforts on the basis of more or less with 150 minutes. Thus, in accordance with creating the newvariables with the Low Activity where less than 150 minutes have been coded as 0 while morethan 150 minutes were coded as 1. Therefore, on which researcher have used Classify anddiscrimination tool from analyse tool. Moreover, after such analysing the data set have been re-saved with consisting BMI and Low-activity variables. It can be seen as listed in Appendix.1

4. Producing a single summarized on each patient groupDescriptive StatisticsNRangeMinimumMaximumMeanStd.DeviationVarianceGROUP2651.001.002.001.5019.50094.251GENDER2651.001.002.001.5283.50014.250AGE2656.0021.0027.0024.21131.337351.789HEIGHT265.231.621.851.7291.04806.002WEIGHT26581.4040.13121.5374.403816.29726265.601ACTIVITY265190.6045.90236.50142.059637.201631383.961BMI26520.5315.2935.8224.68314.2427518.001LOWACTIVITY265101.42.494.244Valid N (listwise)265Interpretation: On the basis of above listed table on which there have been analysis ofvarious outcomes by implicating tools into action. It is the most accurate and reliable techniqueson which researcher will be benefited in analysing the mean, mode, median and standarddeviation of data base. It defines the validity of the data set on which further measurement willbe performed by the researchers.5. Commenting on the resultsAs per the descriptive analysis conducted over the variables such as Group, Group A,activity, height, weight, BMI and Low activity. On which it can be said that validity of data sethas been measured through this test. The mean value of group has been analysed as 1.5019,gender as 1.52, Age as 24.21, height as 2, weight as 1.729, activity as 74.40 BMI as 142.05 andLow activity as 0.451. However, in analysing outcomes on which measuring such informationwill be adequate and effective to have the most reliable and valid information.2

6. Producing a publication quality bar chart of mean activity values3

2. Quality chart:4

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