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1: Fundamentals of Statistics

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    42494
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    • 1.1: What is Statistics?
      In summary, this topic covers key statistical terms including population, sample, parameter, and statistic. It distinguishes between quantitative and qualitative data, as well as continuous and discrete variables. It also introduces the four levels of measurement: nominal, ordinal, interval, and ratio.
    • 1.2: Sampling Methods
      In summary, this topic introduces various sampling methods used to collect data effectively. These include simple random sampling, stratified sampling, systematic sampling, cluster sampling, and convenience sampling. Each method offers different approaches.
    • 1.3: Experimental Design
      In summary, this topic defines observational studies and experiments as key data collection methods. Observational studies involve monitoring subjects without interference, while experiments involve controlled treatment and response. Some common experimental designs include completely randomized block and control design.
    • 1.4: How Not to Do Statistics
      In summary, this topic discusses common pitfalls in statistical reasoning. It highlights the dangers of overgeneralizing results, misinterpreting sampling errors, and incorrectly assuming cause and effect. Avoiding these mistakes is crucial for drawing valid and reliable conclusions.
    • 1.5: Chapter 1 - Key Terms and Symbols
      This section is a glossary of key terms and symbols for Chapter 1. It includes essential vocabulary used in statistics, such as population, sample, parameter, and statistic. It also introduces symbols commonly used in formulas throughout the chapter, helping students build a strong foundation for understanding data, identifying types of variables, and distinguishing between descriptive and inferential statistics.


    This page titled 1: Fundamentals of Statistics is shared under a CC BY-SA 4.0 license and was authored, remixed, and/or curated by Toros Berberyan, Tracy Nguyen, and Alfie Swan.