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SPSS Statistics Assessment Quantitative Methods Assignment

   

Added on  2020-07-22

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SPSS Statistics Assessment QuantitativeMethods in Social ResearchPage 1 of 19

Table of Contents1(A). Different levels and their properties...................................................................................11(B). Listing level of different variables......................................................................................11. (C). Impact of variables level of measurement on statistical analysis.....................................12(A) Two dispersion and central tendency measurement............................................................12(B). % of respondents heard of Greenpeace..............................................................................23.(A) Greatest number of hours on normal working....................................................................33(B). Recoding to display proportion of percentage working for different time duration...........33.(C). % of respondents strongly agreeing across people working more than 60 hours..............44 (A). Confidence interval for the men age of retiring................................................................64(B). Mean age of people in completion of continuous full time education...............................75.(A) Sampling distribution.........................................................................................................85. (B). Role of sampling in statistical inference...........................................................................86.(A). Impact of sex over transgender people’s belief.................................................................86.(B). Statistical significance between cars and vans owned by people differ by race................96.(C) Association between respondents and adults watching pornography...............................106.(D). Mean % of hip replacement patients across men and women.........................................117. (A). Regression......................................................................................................................127.(B). Correlation.......................................................................................................................137.(C). Scatter plot.......................................................................................................................147. (D). Proportionate reduction in error (PRE)..........................................................................15REFERENCES..............................................................................................................................15Page 2 of 19

1(A). Different levels and their properties Nominal: Such scale is used just to label all the variables without any quantitative figuressuch as sex, race, country and others.Ordinal: It compares degree such as satisfaction level, significance level and others. Ittypically measure non-numerical information like happiness, comfort and others. Interval: It is a numerical scale that is used for continuous variable such as temperatureand others. Ratio scale: It is the most important scale that particularly used for performing statisticalanalysis. On such variable, tests like central tendency, dispersion and others are applied. 1(B). Listing level of different variables Nominal Ordinal Scale Archive serial WelfhelpTLoopAwrSexTranneedNatFrEstAge SochelpWkJbHRslLibertarian-Authoritarianscale Dolefidl RetExpbHeard about GreenpeaceTea2Adults watching pornographyTwomToilRacial orientationCarNum1. (C). Impact of variables level of measurement on statistical analysis Level of measurements help in finding out that which statistical test will be significant forthe dataset, otherwise, inappropriate method can be selected which affect the quality of outcome.For instance, chi square test is suitable for nominal data set whereas Mann-Whitney U test isappropriate for one ordinal and other nominal variable. ANOVA is suitable for continuousvariable and others (Anderson and et.al., 2016). 2(A) Two dispersion and central tendency measurement Statistics% taxpayers, how many have used a loophole to reduce the amount of tax they pay, without breaking the law?NValid2691Missing251Mean33.06Mode10Page 1 of 19

Std. Deviation26.839Variance720.355Here, the statistics table reveals that out of 2,942;251were missing value and 2,691 werevalid data. The mean value indicates that on an average, 33.06% Brits have used loophole in theexisting taxation system to minimize their taxation liabilities without violating law (Zhang,2016). However, in majority of time, 10% people said that they used such loopholes for theirown benefits, that is the mode of the series. Finding the dispersion of the series, variance is veryhigh to 720.35 and it’s square root, standard deviation is 26.839. High value indicates that % oftaxpayer responses differs because some may used it to a great extent while other may did notused it. 2(B). % of respondents heard of Greenpeace Ever heard of Greenpeace on radio, TV, newspapers, or somewhere else?: Version A, BFrequencyPercentValid PercentCumulativePercentValidYes185463.094.494.4No1093.75.6100.0Total196366.7100.0MissingSPONTANEOUS - Don t know3.1Refusal97633.2Total97933.3Total2942100.0Page 2 of 19

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