continuous data

What are the Methods of Analyzing Continuous Data?

Continuous data can be analyzed using statistical methods to derive meaningful insights. Common techniques include:
- Descriptive Statistics: Mean, median, standard deviation, and range are used to summarize the data.
- Inferential Statistics: T-tests, ANOVA, and regression analysis can help determine relationships and differences between groups.
- Graphical Representations: Line graphs, histograms, and scatter plots are useful for visualizing continuous data trends over time.

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