What is Statistics? Statistics is one of knowledge to collect the data for making effective decisions. So, for making a effective decisions for the future, we must know the aspects before. Statistics is something trivial that we often see around us everyday. Bar chart, pie chart, table calculation and other else is one of many example of statistics. It is used to facilitate in providing information for everyone in the world. Now, let's start from the begining.
Types of Data
There are several types of data, that is :
- Qualitative Data : the data we get from the sample of some product or something. But, that data is not a number. Example : I tried an orange in the market. It tasted is so sweet. The data i get from it is : the oranges which sold in the market tested so sweet. It's qualitative of data.
- Quantitatif Data : the data we get from the sample of some product or something. But , that data is a number. Example : 1 , 2 , 3 , 4 ,5 . Quantitatif data have 2 types, that is :
- Discrete Data : the data is round. Example : I have 3 children. Not 3,5 children.
- Continuous Data : the data is decimal. Example : The result of that frequency is 60,75 Hz
Sources of Statistics Data
There are several types of source, that is :
- Primary Data Source : the sources that we are looking for ourselves.
- Secondary Data Source : the sources that we get from people or organization who was published the information first.
Measurement Scale
- Nominal Scale : is a number that we give to the object which means as a label, without giving an important meaning to that object. Example : Man = 1 Woman = 2 . It makes it easier to give a mark to the object. So, we know that number 1 is a Man and number 2 is a Woman. If you choose number 2, you are a woman.
- Ordinal Scale : is a number that has meaning. Like a ranking class, levels, or achievement.
- Interval Scale : like class divisions with defined boundaries. Anyone who gets score above 80 will get A, below 80 then will get B.
- Ratio Scale : it covers all the types of scales. And there is an additional scale, that is the absolute scale. The absolute scale is the rounding number. Like round up or round down.
Oke, maybe just it for introduction of Statistics. This introduction is tell you about the data that we will use, and type of sources data that we will get. I hope you understand about it before we move on the next.
