We have much more contact with studied statistics, can be significant in the end is what kind of discipline it?
- We will statistically defined as: data collection, collation, display, analysis and interpretation to help people more effectively scientific decision-making.
Research on statistics is usually divided into two categories: descriptive statistics and inferential statistics.
- Descriptive statistics: in some way to provide information to facilitate sorting of the data, the methodologies are shown and summarized.
- Inferential statistics: the general nature of some method of estimating on the basis of the sample.
Here are the overall and sample definition.
- Overall: The study of individuals, or something from the set of all individuals, the measure of things.
- Individual: The part of the overall study.
Next we introduce the statistical term that often appear - variable .
There are two basic types of variables: quantitative and qualitative variables variables. When the variable is non-feature values studied, the called attribute variables or qualitative variables; when the variable under study can be represented by the value, called quantitative variables. Quantitative variables divided into discrete and continuous. Discrete variables can only take certain values, and there is a certain "gap" between different values. Observations continuous variables can take any value in a range.
Data may also be in accordance with the measurement scale classification. Measurement scale data directly determines the calculation method when data collation used and described, and the method of statistical tests employed.
There are actually four measurement scales: the name, order, and the interval ratio.
- Nominal Scale Data
When measured using nominal dimensions, in no particular order between the flag qualitative variables, classification and counting operation only.
- Ordinal scale data
Ordinal scale level higher than a nominal dimensions, data may be classified to be graded or sorted.
- Interval scale data
Granularity than the ordinal scale has a high level, the difference between the values is significant.
- Ratio Scale Data
Ratio scale is the highest level of measurement scale, in fact, to say the ratio between some quantitative data are ratio scale data, the value is meaningful.
2019-09-19