Reflection 1
Statistics is the science that studies data to be able to make a decision. Statistics involves collecting, processing, summarizing, and analyzing data. There are two types of statistics: descriptive statistics and inferential statistics. All data whether it is numeric or non numeric should be contextualized with the use of asking the 6 "Ws" which are: Who, What, When, Where, Why, and hoW. When data is not contextualized the information would be confusing and mean nothing, so it is important that all the data that we collect are contextualized.
The basic terms in statistics include: universe which is the collection of who the researcher is observing and they do not necessarily have to be people; variable is the characteristic that is being observed by the researcher; population is the collection of results of a certain variable from the universe; and the sample is the subgroup of a universe or population. There are two types of variables: qualitative and quantitative, and under quantitative there are two types which are discrete and continuous. Discrete is data that can be counted and continuous is data that can be measured. There are four different levels of measurements which are: nominal, ordinal, interval, and ratio. There are also different types of sampling, the two main types are probability and non probability. There are different methods of data collection as well, those include: objective, subjective, and use of existing records. There are also different types of data presentation which are textual or narrative which is narrating out the main points of the data that was gathered. There is also tabular and it uses a statistical table to present the data gathered. There is also the graphical method which utilizes the use of graphs like pie chart, box-plot, scatter-plot, etc. There is also a Table called The Frequency Distribution Table, FDT for short, which is used often in statistics.
