Descriptive and Inferential Statistics
Introduction and Alignment
Descriptive and inferential statistics are a very important part of research. Descriptive statistics organize numerical data that was obtained from samples. Any time a sample is used to estimate a population, there is a chance the estimate or sample is inaccurate. Inferential statistics determine the likelihood that the sample chosen is representative of the given population.
- Textbook: Reading, Understanding and Applying Nursing Research
- Video: Frequency Distributions
- Video: Histograms
- Video: Basic Concepts of Probability
- In your textbook, Reading, Understanding and Applying Nursing Research, read Chapter 12.
- View the following videos:
- Define inferential statistics. Provide an example of inferential statistics related to a topic found in your workplace. If you are not employed, use an institution where you have previously worked.
- What is probability and how does it relate to inferential statistics?
- Define descriptive statistics.
- What are measures of central tendency and how to they relate to a distribution?
- Define correlation. Give an example of a positive correlation and a negative correlation.
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