How Up Grading Informational Management System Analysis

Data and statistics is able to be collected through a number of different ways to gather information, the majority of people have taken part

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

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

Collects numerical data that can be quantified. Research with numbers. Focus on measuring, collecting and drawing relationships through statistical analysis and experimentation.

Prior to this course I have used statistics in my professional life. During my previous employment at the University of Tennessee, College of Veterinary Medicine I worked in the student admissions which made my primary job focus the student application process. This process required me to compile statistical information on our applicant pool for faculty and administrative staff to determine who would be accepted. This statistical data included both categorical data, such as current grade level in undergraduate studies, gender, and ethnicity, as well as numerical data such as age, GPAs, average number of courses taken in a semester, credit hours completed, and test scores (Mirabella, 2011). After the admissions process was completed, these different

Despite the common assertion that all math is inherently difficult, statistics is rooted in simple mathematical concepts. Descriptive statistics, as depicted by author Charles Wheelan in Naked Statistics: Stripping the Dread from the Data, is a way to summarize raw data in order to make immense data sets more manageable and understandable (2013). As Wheelan points out, everything from presidential elections to baseball games can be summarized using statistics (2013). One of the most prevalent uses of statistical analysis is to summarize data in order to reflect the health of the U.S. economy, specifically through gross domestic product (GDP). Wheelan touches on the subject of how statistics can be used in conjunction with economics; however, there is much more he does not mention. The health of the U.S. economy is imperative to every American. It dictates whether it is a good time to splurge on a pricey vacation, invest in a new company, or save for the future. The only way to truly understand the current status of the U.S. economy is by being able to interpret statistical analyses accurately, which may be trickier than it appears. Just like any other topic, it starts with the basics (mean, median, etc.), but Wheelan soon makes it apparent that things become a bit more complicated when one looks past the fundamentals of statistics (2013). Interpreting statistical analyses is more than just being able to read charts and graphs. Descriptive statistics is rooted in simplicity;

Quantitative analysis involves the techniques by which researchers translate data into a numerical form and subject it to statistical analyses (Lesson 6 2017). I would design a quantitative research project by focusing on measurement. I will provide numerical statistics in support of my research. Lets say I am researching on the growth of the MS-13 gang. I will present numerically the growth or declination of the member attendance, crime rates, gang activities, etc. Then, with all the results, I will be able to form a conclusion on whether the gang has or has not grown over the years.

Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities. Statistics are also used for making informed decisions – and misused for other reasons – in all areas of business and government. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In addition, patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and then used to draw inferences about the process or population being studied; this is called inferential statistics. Both

Quantitative Research- a research based on experimental data, a survey that proves the actuality of the theory.

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 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.

To conduct quantitative research, the first step is defining the problem, identifying the objectives and goals, and establishing research questions or hypothesis. It is followed by data collection and analysis with the application of various numerical and statistical approaches. Quantitative research is more factual in terms that we get concrete data with evidence to prove the results of our research.

science of collecting, organizing, presenting, analyzing and interpreting numerical data for the purpose of assisting in making a more effective decision.

Quantitative research methods are utilized to study the natural phenomena. So, it includes survey methods, formal methods, and numerical methods.

There are very many types of information systems. Classification of information systems follows the organizational levels in which they are used or installed for use. For instance, there are management information systems; some of which will be covered in this project report. Management information systems (MIS), helps businesses meet their business objectives. Almost all organizations and businesses today use management information systems; be it large, small, startup or an established multi-national. This is for the sole reason that information systems have evolved from just being a tool to gain competitive advantage for businesses, to a vital tool, a necessity in the digital age we live in. Management Information Systems help managers make better-informed decisions and communicate with their superiors, as well as with all the stakeholders in the businesses their organizations are involved in.