Final answer:
Descriptive statistics involves organizing and summarizing data, while inferential statistics uses probability to conclude data.
Step-by-step explanation:
In statistics, the two main types of procedures used to analyze data after an experiment are descriptive statistics and inferential statistics.
Descriptive statistics involves organizing and summarizing data using methods like graphing and finding averages. It helps to describe and summarize the data, making it easier to use and discuss. Examples of descriptive statistics include the mean and standard deviation.
Inferential statistics uses probability to conclude data. It helps to make generalizations about an unknown population based on sample data. Example of inferential statistics include hypothesis testing and confidence intervals.