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- https://stats.libretexts.org/Courses/Fort_Hays_State_University/Elements_of_Statistics/01%3A_Introduction_to_Statistics/1.03%3A_Two_Realms_of_Statistics-_Descriptive_and_InferentialThe word statistics can refer to different things. Descriptive statistics are numbers that are used to summarize and describe data. Inferential statistics are methods to understand properties of some ...The word statistics can refer to different things. Descriptive statistics are numbers that are used to summarize and describe data. Inferential statistics are methods to understand properties of some data set based on what is known about a smaller subset.
- https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/01%3A_Sampling_and_Data/1.02%3A_Definitions_of_Statistics_Probability_and_Key_TermsThe idea of sampling is to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. For example, if we consider one math clas...The idea of sampling is to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. For example, if we consider one math class to be a sample of the population of all math classes, then the average number of points earned by students in that one math class at the end of the term is an example of a statistic.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/02%3A_Descriptive_Statistics/2.11%3A_Formula_ReviewThis page provides an overview of statistical measures such as location, center, spread, and skewness. It covers calculations for percentiles, means (arithmetic and geometric), and definitions of skew...This page provides an overview of statistical measures such as location, center, spread, and skewness. It covers calculations for percentiles, means (arithmetic and geometric), and definitions of skewness and coefficient of variation. The text details methods for computing sample and population standard deviations, highlighting the distinction in denominators used for calculations. Overall, it serves as a guide for analyzing and interpreting data distributions effectively.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/13%3A_Linear_Regression_and_Correlation/13.10%3A_Chapter_ReviewThis page discusses linear equations and regression analysis, detailing how linear equations represent variable relationships (y = mx + b) with slope and y-intercept. Regression analysis models these ...This page discusses linear equations and regression analysis, detailing how linear equations represent variable relationships (y = mx + b) with slope and y-intercept. Regression analysis models these relationships, assuming linearity, while nonlinear relationships can be approximated through transformations (e.g., double logarithmic or quadratic). The text highlights the applicability and significance of regression techniques in data understanding.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/14%3A_Apppendices/14.01%3A_B__Mathematical_Phrases_Symbols_and_Formulas/14.1.01%3A_Symbols_and_Their_MeaningsThis page offers a detailed reference table of statistical symbols and their verbal representations, categorized into areas such as Sampling, Descriptive Statistics, Probability, Random Variables, Nor...This page offers a detailed reference table of statistical symbols and their verbal representations, categorized into areas such as Sampling, Descriptive Statistics, Probability, Random Variables, Normal Distribution, Central Limit Theorem, Confidence Intervals, Hypothesis Testing, Chi-Square Distribution, and Linear Regression. Each entry features the symbol, its spoken name, and its statistical meaning.
- https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/01%3A_Sampling_and_Data/1.02%3A_Definitions_of_Statistics_Probability_and_Key_TermsThe idea of sampling is to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. For example, if we consider one math clas...The idea of sampling is to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. For example, if we consider one math class to be a sample of the population of all math classes, then the average number of points earned by students in that one math class at the end of the term is an example of a statistic.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/01%3A_Sampling_and_Data/1.01%3A_Definitions_of_Statistics_Probability_and_Key_TermsThis page discusses a statistics course that focuses on data collection, analysis, interpretation, and presentation. It highlights descriptive and inferential statistics, emphasizing the importance of...This page discusses a statistics course that focuses on data collection, analysis, interpretation, and presentation. It highlights descriptive and inferential statistics, emphasizing the importance of statistical inference and sampling. Examples illustrate key statistical concepts such as population, sample, parameter, and variable through practical cases, including automobile safety and malpractice lawsuits.
- https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/01%3A_Sampling_and_Data/1.02%3A_Definitions_of_Statistics_Probability_and_Key_TermsThe idea of sampling is to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. For example, if we consider one math clas...The idea of sampling is to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. For example, if we consider one math class to be a sample of the population of all math classes, then the average number of points earned by students in that one math class at the end of the term is an example of a statistic.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/01%3A_Sampling_and_Data/1.07%3A_ReviewThis page introduces key statistical concepts, covering data types (qualitative and quantitative) and sampling methods for reliable representation. It details the four measurement levels (nominal, ord...This page introduces key statistical concepts, covering data types (qualitative and quantitative) and sampling methods for reliable representation. It details the four measurement levels (nominal, ordinal, interval, ratio) and stresses accurate data reporting and organization. It also highlights the significance of experimental design, including random assignment and control groups, while addressing ethical considerations in statistics.
