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Quantitative Methods Paper | Environmental Issues

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Added on  2020-03-28

Quantitative Methods Paper | Environmental Issues

   Added on 2020-03-28

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Running head: QUANTITATIVE METHODS1Quantitative MethodsName:Institution:
Quantitative Methods Paper | Environmental Issues_1
QUANTITATIVE METHODS 2IntroductionThis paper is designed in understanding the demographic distribution of the students inAustralia. Also, the report will evaluate students’ perception of environmental issues. Bothnominal and ratio scale data will be collected. For instance, the height of the students(without shoes), number of hours slept, among others. These are vital as they help in giving adescriptive overview of the sample, which can help understanding the characteristics of thepopulation. On the other hand, the nominal scale data are vital in understanding the mostprofound. AnalysisIn this section, the analysis will be subdivided into two parts, in which the analysis of twostates will be performed. A comparison will be carried out to assess how the student fromVIC and NSW use different strategies to conserve the environment. The analysis will beperformed by Excel Spreadsheet.VIC state data analysisThe distribution of gender is as illustrated inTable 1.Table 1: Gender distributionRow LabelsCount of Q2 GenderF52.50%M45.00%O2.50%Grand Total100.00%
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QUANTITATIVE METHODS 3The summary indicates that the proportion of female students is slightly higher than that ofmale students. There is a very low chance of getting a student with a gender of “other.”FMO0.00%10.00%20.00%30.00%40.00%50.00%60.00%52.50%45.00%2.50%Gender diatributionTotalGenderPercentageFigure 1: Gender distributionFigure 1 shows that there is a higher chance of randomly selecting a female student (52.50%)than the male (45.00%) and others (2.50%) [ CITATION Kel14 \l 1033 ].The average height of student was computed and is as summarized below.Row LabelsAverage of Q3 Height (cm) StdDev of Q3 Height (cm) F165.571428610.1517064M157.888888914.06660162O164#DIV/0!Grand 162.07512.40427449
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QUANTITATIVE METHODS 4TotalThe summary of descriptive statistics indicates that the female student’s height (165.57 cm) isslightly higher than that of male students (157.89 cm). However, the standard deviation of themale student is higher than that of female students suggesting that the male student’s height isnot consistency like that of female students. An assessment was carried out to determine time spent with family. The results are assummarized.Row LabelsAverage of Q9 Doing things with family F10.76190476M14.55555556O2Grand Total12.25The summary indicates that on average male students spent more time with their families(14 .56 hours) than the female students (10.76 hours). This can be illustrated in the chartbelow.FMO024681012141610.7614.562Average time spend with family against GenderTotalGenderAverageThe chart shows that the male student spent the highest time with their families doingsomething, whereas female spent less time [ CITATION Kel14 \l 1033 ].
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