Advantages Of Quantitative Statistics

Statistics provides us with very useful tools and techniques that aide us in dealing with real world scenarios. I have been able to learn several useful concepts by studying statistics that can aide me in making rational and informed decisions that are supported by the analysis results. Statistics as a discipline is the application and development of various processes put in place to gather, interpret, and analyse the information. The quantification of biological, social, and scientific phenomenons, design and analysis of experiments and surveys, and application of

3. Quantitative data is easily compiled into something meaningful because it is based on concrete data. On the other hand, qualitative data is presented in a raw form and needs

• Provide at least two examples or problem situations in which statistics was used or could be used.

Quantitative data is facts that are written in numerical form and then proven. The way Quantitative data is recorded is in numbers. An example of Quantitative data is 55%take bus, 25% take train, 10% walk and 10% car.

Also, using a mixture of quantities and qualitative data could result in more power for their results in the study. For example, they could interview the boys on why they feel one way or another, and concentrate on the reasons for their aggressive actions and thought process. Using only qualitative or quantitative data shows only one side of the evidence.

13. Distinguish between quantitative and qualitative data. Which type would be presented in a data

Quantitative research methods are objective as it uses measurements and analysis of statistical data to answer the study question. The researchers’ opinions do not affect the outcome of the study, ensuring that the study is unbiased. Another advantage is quantitative research uses numbers and statistics which is understood universally (Houser,2008).

Quantitative information is information that can be directly measured and can be seen as factual information rather than an opinion, this is usually hard to argue with.

Quantitative research involves collecting data, which can be expressed numerically. The design is well structured with pre-determined outcomes. It frequently involves testing a hypothesis, which then can be analysed from the data deductively using statistical methods. Using numerical data is easier to analysis mathematical, so larger sample sizes can be utilised compared to qualitative research, therefore giving a better representative of the population; along with simplifying the process of making a generalisation. Another advantage is that studies can easily compare to similar findings (Kruger, 2003). The disadvantages are the results are limited and might not provide a proper understanding of the topic. Also, statistics and leading questions can be used to give a false representation of the data when summarising.

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Alternatively, Quantitative analysis is a more commonly practised method as it relies on testing, simulations, calculations, formulas and any other appropriate forms of data to produce a representative figure.

Quantitative studies possess some of advantages and disadvantages when compared with other approaches. Advantages of qualitative studies include a large sample size, objectivity, less time-consuming data collection, and the

Quantitative studies are primarily numbers based. They deal with large cohort groups as well as analyze large amounts of data. “A quantitative

True experimental research design includes random selection and group assignment of participants, manipulation of variables and observing the effect that the manipulation has on the dependant variable to establish whether a cause and effect relationship is present between the variables (Follmer Greenhoot, 2003, pp. 92-93). An example of a commonly used true experimental research designs, are experiments used for testing the effects of new pharmaceuticals.

For example, if one is examining how well a new vaccination works then one will want to collect quantitative data such as the size of the dosages given, the time interval between dosages, the age and weight of the patient, etc. In the most general terms, quantitative data are data that you can count and that refer to objectively defined phenomenon such as the time and dosage of a vaccination.