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Quantitative Report : SPSS

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Added on  2020-10-23

Quantitative Report : SPSS

   Added on 2020-10-23

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Quantitative Report: SPSS
Quantitative Report : SPSS_1
TABLE OF CONTENTSQ.2 ANOVA analysis..................................................................................................................3Aim and hypothesis.....................................................................................................................3Data analysis................................................................................................................................3Results and conclusion................................................................................................................3Q.3 Correlation and regression....................................................................................................4Aim and hypothesis:....................................................................................................................4Data analysis:...............................................................................................................................5Results and conclusion................................................................................................................5APPENDIX....................................................................................................................................12QUESTION 2................................................................................................................................122.1..............................................................................................................................................122.2..............................................................................................................................................122.3..............................................................................................................................................15QUESTION 3................................................................................................................................163.1..............................................................................................................................................163.2..............................................................................................................................................183.3..............................................................................................................................................21
Quantitative Report : SPSS_2
Q.2 ANOVA analysis Aim and hypothesis1. H0: There is no significant difference in the mean value of three forms of training undertaken. H1: There is a significant difference in the mean value of three forms of training undertaken. 2.H0: There is no significant difference in the mean value of swim performance under differentage group in the context of program undertaken. H1: There is a significant difference in the mean value of swim performance under different agegroup in the context of program undertaken.3.H0: There is no significant difference in the mean value of income generated with regards toconcerned two years.H1: There is a significant difference in the mean value of income generated with regards toconcerned two years.Data analysis In order to attain concerned research aim and hypothesis ANOVA tool has been applied.This in turn helps in analysing differences which take place between two variables such asdependent and independent variable. On the basis of such tool, hypothesis will be accepted orrejected on the basis of following criteria:p>0.05: Null hypothesis accepted p<0.05: Alternative hypothesis accepted Results and conclusion 3.2
Quantitative Report : SPSS_3
Interpretation: Outcome of statistical evaluation shows that p>0.05 which in turn clearlyexhibits that alternative hypothesis is false. However, different programs undertaken (1, 2 and 3)have significant influence on swim performance of people falling under the age group of 34-42years. 3.3 ANOVA
Quantitative Report : SPSS_4
Interpretation: The above depicted table presents that p value of all the concerneddependent variables are less than 0.05. Referring this, it can be present that alternative isappropriate over null. As per this, it can be be entailed that season or time period has an impacton the level of income generated with regards to start, middle and end. Q.3 Correlation and regression Aim and hypothesis:Question 1Null hypothesis (H0): There is no statistical significant difference in the mean value of averageweekly attendance and membership cost as well as number of classes.Alternative hypothesis (H1): There is a statistical significant difference in the mean value ofaverage weekly attendance and membership cost as well as number of classes.Question 2Null hypothesis (H0): There is no statistical significant difference in the mean value of averagenumber of games won and psychological factors & age.Alternative hypothesis (H1): There is a statistical significant difference in the mean value ofaverage number of games won and psychological factors & age.Question 3Null hypothesis (H0): There is no statistical significant difference in the mean value of averageVO2max and independent variables.Alternative hypothesis (H1): There is a statistical significant difference in the mean value ofaverage VO2max and independent variables.Data analysis: For analysing the data in a correct and accurate manner, different data analysis tools canbe used such as regression, correlation, mean, variance, standard deviation etc. can be used.Selecting appropriate data analysis tool can help in proper assessment of data. In this studyreport, Regression analysis method has been used for analysing the data. With the help ofregression, relationship between dependent variable and independent variable can be determined.
Quantitative Report : SPSS_5
It is a statistical process which helps in assessing as well as examining the relationship between adependent variable and two or more independent variable. For this report, regression analysistechnique is best appropriate.Results and conclusionRegression Question 1ModelSummaryModelRRSquareAdjustedR SquareStd. Errorof theEstimateChange StatisticsR SquareChangeFChangedf1df2Sig. FChange1.838a.702.6955.467.702113.991297.000a.Predictors:(Constant),numberofclasses,membershipcostANOVAaModelSum ofSquaresdfMeanSquareFSig.1Regression6812.72923406.364113.991.000b
Quantitative Report : SPSS_6

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