Startmagazine: Introduction to Statistics
Explanations, glossary and practice questions with fundamental concepts and tips, explanations and examples per topic when encountering, understanding and applying statistics
Knowledge and assistance for classifying, illustrating, interpreting, demonstrating and discussing statistics.
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Startmagazine: Introduction to Statistics
Understanding data: distributions, connections and gatherings
Understanding data: distributions, connections and gatherings
In short: Data
- Data is any collection of facts, statistics, or information that can be used for analysis or decision-making. It can be raw or processed, and it can be in the form of numbers, text, images, or sounds.
Understanding reliability and validity
Understanding reliability and validity
In short: reliability and validity
- Reliability refers to the consistency of a measurement. A reliable measurement is one that gives consistent results when repeated under the same or similar conditions. For example, if you take a thermometer
Statistics Magazine: Understanding statistical samples
Statistics Magazine: Understanding statistical samples
In short: Statistical samples
- A statistical sample is a small group of people or things that is used to represent a larger group. This is often done because it is not possible or practical to measure the entire group.
- If the sample is representative of the larger group, then the results of the analysis of the sample can be used to make inferences about the larger group.
Understanding distributions in statistics
Understanding variability, variance and standard deviation
Understanding inferential statistics
Understanding type-I and type-II errors
Understanding type-I and type-II errors
Type-I and Type-II errors
When drawing conclusions, four scenarios are possible:
Correct decision: the null hypothesis is incorrect, and the researcher rejects the null hypothesis.
Correct decision: the null hypothesis is correct, and the researcher does not reject the null hypothesis.
Type-I error: the null hypothesis is correct, but the researcher rejects the null hypothesis. The researcher falsely
Understanding effect size, proportion of explained variance and power of tests to your significant results
Understanding effect size, proportion of explained variance and power of tests to your significant results
Effect size, proportion of explained variance and power of tests
Statistiek in The Netherlands- learn, study or share - Startup page
Statistiek in The Netherlands- learn, study or share - Startup page
STATISTICS & METHODS
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