Introduction to statistics (Recap) - part 1
This is from datacamp learning Statistics can tell you the possibility but it cannot answer everything since it is the prediction based on data and developed models. Type of statistics Descriptive statistics (explaining the past) Describe the data or summarize the data Say how many papers are being published in each year from each faculty or how many black and white cats around this neighborhood. Inferential statistics (predicting the future) Using the sampling approach to describe a larger population Types of data There are 2 main types of data Numeric (quantitative) Continuous (measured) -- temperature, car speed Discrete (count) -- count on particular type of subject Categorical (qualitative) Nominal (unordered) Active or Inactive Ordinal (ordered) Sequentially -- evaluation in survey (good, fair, poor) Things need to be concern Data type thus we can pick the right statistical tools to summarize and visualize the data Measures of center Mean, median, mode (the most frequent data)