Quantitative Strategies for Analyzing Data

Quantitative Strategies for Analyzing Data

Quantitative data analysis is the method of “collated into analyzable data sets. Quantitative data can usually be translated into rows and columns, where one row equals one record” (Preece, Yvonne, & Sharp, 2015)

Reflection on the Topic

1.      Quantitative data analysis using charts and columns, sometimes graphical graph to make data become visible for analysis.
2.      “techniques of multivariate data analysis prove to be extremely useful when the research is done on a set of objects characterized by a large number of variables, which makes the study of causal dependencies and classification of objects to be difficult”(Ştefan Daniel ARMEANU, Georgeta VINTILĂ, Maricica MOSCALU, Maria-Oana FILIPESCU, & Paula LAZĂR, 2012)
3.       
Example of data collected organized into graphs for further analysis
(Preece et al., 2015)

My Thought

 “For simple collation and analysis, spreadsheet software such as Excel is often used as it is commonly available, is well understood, and offers a variety of numerical manipulations and graphical representations. Initial analysis might involve finding out averages, and
identifying any outliers, i.e. values that are significantly different from the others. Producing a graphical representation of the data helps to get an overall view of the data and any patterns it contains.”(Preece et al., 2015)
“the phonocardiographic signals. It is proposed to use the cascade of the bandpass
filters for the operational amplifiers. Such circuit improves to a large extent the identifiability of the tones against the background interference and thereby allows
increasing the efficiency of diagnosing diseases of the cardiovascular system” (Kulyash K. Makesheva, Eldos A. Altay, & Aygerim A. Sadykova, 2018)

Reference List

Kulyash K. Makesheva, Eldos A. Altay, & Aygerim A. Sadykova. (2018). The phonocardiographic data recording & processing system: an effective approach. Cardiometry, Iss 12 (2018), (12). https://doi.org/10.12710/cardiometry.2018.12.6668
Preece, J., Yvonne, R., & Sharp, H. (2015). INTERACTION DESIGN: Beyond human-computer interaction (4th ed.). West Sussex, UK: John Wiley & Sons Ltd.
Ştefan Daniel ARMEANU, Georgeta VINTILĂ, Maricica MOSCALU, Maria-Oana FILIPESCU, & Paula LAZĂR. (2012). Using Quantitative Data Analysis Techniques for Bankruptcy Risk Estimation for Corporations. Theoretical and Applied Economics, Vol XIX, Iss 1, Pp 97-112 (2012), (1), 97.

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