Quantitative Data - Admission/Application Essay Example

These quantitative data structures represent how data is being seen and thus analyzed in accordance with an understanding which surrounds figures, statistics, and data in combination with one another. There is a need to find out how quantitative data is collected and later on used in order to boost the basis of research in the long run scheme of things. Descriptive statistics detail each and every step of the data that has been collected for research while inferential statistics are more leading in nature and depend on every step to produce the end research basis.

A test hypothesis can be written with the help of null basis which remains significant. Then again how the results are managed remains important towards reaching a conclusion. ANOVA is the analysis of variance between groups and is a collection of statistical models which are employed to analyze the differences between group means and their related norms and procedures. Chi-square test is a form of statistical hypothesis test where the sampling distribution of the test statistic is a chi-squared distinction when the basis of the null hypothesis is true. 2. Mac Users vs.

PC Users The biases between Mac users and PC users arises from the ideology that each one of these individuals has a preference over the other make. The reason arises because Mac users would never go out of their way to manifest how good PC is and same is the case with the PC users as well. It is generally believed that the Mac users are more sophisticated and believe in simplicity as compared to the PC users. In essence, the PC users are known to focus more on getting more tasks done at the same time, i.e. a tenet also known by the name of multitasking.

Rather the Mac users would concentrate more on quality than mere quantity and this is the reason why one would believe that the Mac users are seen with an eye of respect and dignity across the board. When survey questions are designed as far as a comparison of the preferences of the Mac and the PC users, the biases element can be done away with if the questions are simple, to the point and do not delve deep into confusing leading queries. If this happens, there would be grudges for both the Mac users as well as the PC users.

The manner in which their distinctions can be understood is outlined in the fact that the Mac users will focus more on how simple the tasks can be designed while the PC users will go for speed, ease of access and multitasking more than anything else. 3. How does data become usable information? Data becomes usable information if and only if there is room for understanding that information is mightier and has more reasoning available than mere data. This is the reason why data alone does not qualify as a countable entity.

The manner in which information is employed is more significant because it discusses how well data is broken down and the wastage is always taken into account. Data can be misused if it is employed under measures which do not demand it to be made use of. There is a dire need to understand that mere data would not bring in the value rather information will do the trick at the end of the day. Its misuse is a serious peril which needs to be checked under different scenarios and situations. When data becomes usable information, then only one can find out how its usage will bring more and more value.