Repetition refers to the act of repeating an action, event, or process multiple times. It involves doing something over and over again in order to observe patterns or gather more data.
Think of repetition like practicing a musical instrument. Just as musicians repeat scales and exercises to improve their skills, statisticians use repetition to gain a deeper understanding of data and uncover meaningful insights.
Sampling: Sampling is the process of selecting a subset of individuals or items from a larger population for analysis. It helps statisticians make inferences about the entire population based on the characteristics observed in the sample.
Hypothesis Testing: Hypothesis testing is a statistical method used to make decisions about a population based on sample data. It involves formulating null and alternative hypotheses, collecting evidence through data analysis, and drawing conclusions.
Experimental Design: Experimental design refers to the planning and arrangement of conditions in an experiment. It involves determining factors, levels, treatments, randomization procedures, and control groups to ensure valid results and minimize bias.
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