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About 8 results
  • https://stats.libretexts.org/Courses/Luther_College/Psyc_350%3ABehavioral_Statistics_(Toussaint)/03%3A_Summarizing_Distributions/3.02%3A_What_is_Central_Tendency
    What is "central tendency," and why do we want to know the central tendency of a group of scores? Let us first try to answer these questions intuitively. Then we will proceed to a more formal discussi...What is "central tendency," and why do we want to know the central tendency of a group of scores? Let us first try to answer these questions intuitively. Then we will proceed to a more formal discussion.
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Lane)/03%3A_Summarizing_Distributions/3.02%3A_What_is_Central_Tendency
    What is "central tendency," and why do we want to know the central tendency of a group of scores? Let us first try to answer these questions intuitively. Then we will proceed to a more formal discussi...What is "central tendency," and why do we want to know the central tendency of a group of scores? Let us first try to answer these questions intuitively. Then we will proceed to a more formal discussion.
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.04%3A_Central_Tendency_and_Variability
    The page explains the concepts of central tendency and variability, key statistical measures that summarize and describe datasets. Central tendency includes mean, median, and mode, while variability i...The page explains the concepts of central tendency and variability, key statistical measures that summarize and describe datasets. Central tendency includes mean, median, and mode, while variability includes variance and standard deviation. The page also provides a guide on using R to compute these measures using the Gapminder dataset, showcasing steps to load and manipulate the data, and calculate these statistics.
  • https://stats.libretexts.org/Courses/Cerritos_College/Introduction_to_Statistics_with_R/05%3A_Summarizing_Data_With_Numbers/5.01%3A_Central_Tendency
    entral tendency is a loosely defined concept that has to do with the location of the center of a distribution.
  • https://stats.libretexts.org/Courses/Luther_College/Psyc_350%3ABehavioral_Statistics_(Toussaint)/03%3A_Summarizing_Distributions/3.01%3A_Central_Tendency
    entral tendency is a loosely defined concept that has to do with the location of the center of a distribution.
  • https://stats.libretexts.org/Courses/Cerritos_College/Introduction_to_Statistics_with_R/05%3A_Summarizing_Data_With_Numbers/5.02%3A_What_is_Central_Tendency
    What is "central tendency," and why do we want to know the central tendency of a group of scores? Let us first try to answer these questions intuitively. Then we will proceed to a more formal discussi...What is "central tendency," and why do we want to know the central tendency of a group of scores? Let us first try to answer these questions intuitively. Then we will proceed to a more formal discussion.
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Lane)/03%3A_Summarizing_Distributions/3.01%3A_Central_Tendency
    entral tendency is a loosely defined concept that has to do with the location of the center of a distribution.
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Statistics_Through_an_Equity_Lens_(Anthony)/01%3A_Chapters/1.02%3A_Descriptive_Statistics
    This chapter focuses on the foundational role of descriptive statistics in data-equity projects, emphasizing the need to collect and understand data to address specific issues. Descriptive statistics ...This chapter focuses on the foundational role of descriptive statistics in data-equity projects, emphasizing the need to collect and understand data to address specific issues. Descriptive statistics involve organizing, describing, and summarizing data using various statistical methods such as measures of central tendency, variability, and distribution shapes. The chapter also highlights the significance of data disaggregation to uncover equity gaps.

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