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Application of Quantitative Methods for Analysing : Research Project

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Added on  2020-01-23

Application of Quantitative Methods for Analysing : Research Project

   Added on 2020-01-23

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Statistics in Education /Introduction to QuantitativeMethods
Application of Quantitative Methods for Analysing : Research Project_1
TABLE OF CONTENTSINTRODUCTION...........................................................................................................................1PART A...........................................................................................................................................1PART B...........................................................................................................................................2PART C...........................................................................................................................................4Conclusion.......................................................................................................................................7References........................................................................................................................................9
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INTRODUCTIONQuantitative methods play important role in analysing collected data in effective mannerwhich provides assistance in making final decisions using information. Hypothesis testing is oneof the important way to analyse such kind of data(Bhattacharyya, 2009). The current researchproject is based on application of quantitative methods for analysing facts and figures. It willfocus on three different cases for applying these methods and make final conclusion of thereport. Along with this, it will also describe strength and limitations of the research designs.Reflective statement on this research will also be describing in the following paragraphs of thereport.PART AAs per the give case study author wants to determine the effect of ‘mindfulness’ classeson pupils’ sleep patterns during their exams. Regarding this, author has included a sample of 93children in which 41 are belonged to the group of mindfulness and 37 are relevant to controlgroup and 15 sample units were not able to give appropriate data(Garland and Garland, 2012).So, for making comparison author can use t-test which is one of the important parametrichypothesis test. It is one of the best method for making comparison between two differentsamples. Application of T-test is described as under:Hypothesis 1:Null hypothesis (H0): There is no difference between mean of sleep pattern between Mindfulnessgroup and control. Alternative hypothesis (Ha): There is a specific difference between mean of sleep patternbetween Mindfulness group and control.Descriptive statistics NotesOutput Created12-JAN-2017 16:04:25Comments1 | P a g e
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InputDataC:\Users\karen\Downloads\PartA1_1480233026.savActive DatasetDataSet3Filter<none>Weight<none>Split File<none>N of Rows in Working Data File78Missing Value HandlingDefinition of MissingUser defined missing values are treated as missing.Cases UsedAll non-missing data are used.SyntaxDESCRIPTIVES VARIABLES=group sleep_mins /STATISTICS=MEAN STDDEV VARIANCE RANGE MIN MAX SEMEAN KURTOSIS SKEWNESS.ResourcesProcessor Time00:00:00.00Elapsed Time00:00:00.01[DataSet3] C:\Users\karen\Downloads\PartA1_1480233026.savDescriptive StatisticsNRangeMinimumMaximumMeanStd. DeviationStatisticStatisticStatisticStatisticStatisticStd. ErrorStatisticIndicator of whether pupilswere in the mindfulness group or not78101.53.057Mean number of minutes slept each night78277.63312.87590.51448.81236.5415957.77380Valid N (listwise)782 | P a g e
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