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- https://stats.libretexts.org/Courses/Remixer_University/Username%3A_ckkidder08marianuniversityedu/Applied_Statistics_for_Social_Science_(19-20)/01%3A_Sampling_and_Data/1.2%3A_Definitions_of_Statistics%2C_Probability%2C_and_Key_TermsThe mathematical theory of statistics is easier to learn when you know the language. This module presents important terms that will be used throughout the text.
- https://stats.libretexts.org/Under_Construction/Purgatory/FCC_-_Finite_Mathematics_-_Spring_2023/11%3A_Probability/11.01%3A_Sample_Spaces_and_ProbabilityThe possibility HT, for example, indicates a head on the penny and a tail on the nickel, while TH represents a tail on the penny and a head on the nickel. If two dice are rolled, find the probability ...The possibility HT, for example, indicates a head on the penny and a tail on the nickel, while TH represents a tail on the penny and a head on the nickel. If two dice are rolled, find the probability that the sum of the faces of the dice is 7. These outcomes are not possible when drawing without replacement, because once the first marble is drawn but not replaced into the jar, that marble is not available in the jar to be selected again on the second draw.
- https://stats.libretexts.org/Courses/Prince_George's_Community_College/MAT1140%3A_Introduction_to_Statistics/01%3A_Sampling_and_Data/1.01%3A_Introduction/1.1.01%3A_Definitions_of_Statistics_Probability_and_Key_TermsThe mathematical theory of statistics is easier to learn when you know the language. This module presents important terms that will be used throughout the text.
- https://stats.libretexts.org/Courses/City_University_of_New_York/Introductory_Statistics_with_Probability_(CUNY)/01%3A_Sampling_and_Data/1.02%3A_Key_Terms_and_DefinitionsThe mathematical theory of statistics is easier to learn when you know the language. This module presents important terms that will be used throughout the text.
- https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/03%3A_Probability_Topics/3.02%3A_Probability_TerminologyRemember that \(S\) has six outcomes. \(P(A|B) = \frac{\frac{(\text { the number of outcomes that are } 2 \text { or } 3 \text { and even in } S)}{6}}{\frac{(\text { the number of outcomes that are ev...Remember that \(S\) has six outcomes. \(P(A|B) = \frac{\frac{(\text { the number of outcomes that are } 2 \text { or } 3 \text { and even in } S)}{6}}{\frac{(\text { the number of outcomes that are even in } S)}{6}}=\frac{\frac{1}{6}}{\frac{3}{6}}=\frac{1}{3}\) Odds The odds of an event presents the probability as a ratio of success to failure.
- 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)/03%3A_Probability_Topics/3.11%3A_Formula_ReviewThis page defines key probability terminology, including events \(A\) and \(B\), sample space \(S\), and associated probabilities. It explains independent events (probabilities that multiply) and mutu...This page defines key probability terminology, including events \(A\) and \(B\), sample space \(S\), and associated probabilities. It explains independent events (probabilities that multiply) and mutually exclusive events (no overlap). The page also outlines two fundamental rules: the multiplication rule for joint probabilities and the addition rule for the union of events.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/04%3A_Discrete_Random_Variables/4.03%3A_Geometric_DistributionThis page explains the geometric probability distribution, highlighting its focus on trials until the first success, with characteristics like repeated Bernoulli trials. It includes examples such as c...This page explains the geometric probability distribution, highlighting its focus on trials until the first success, with characteristics like repeated Bernoulli trials. It includes examples such as calculating probabilities related to pancreatic cancer, women's literacy rates, a baseball player's batting average, and spotting Dalmatians based on specific criteria.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/07%3A_The_Central_Limit_TheoremThis page discusses the Central Limit Theorem (CLT), highlighting its significance in analyzing sample means and their distributions for probability calculations. It covers applications for sample mea...This page discusses the Central Limit Theorem (CLT), highlighting its significance in analyzing sample means and their distributions for probability calculations. It covers applications for sample means and proportions, includes a finite population correction factor, and provides educational resources such as worksheets, key terms, reviews, and practice exercises.
- 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/El_Camino_College/Introductory_Statistics/01%3A_Sampling_and_Data/1.2%3A_Definitions_of_Statistics_Probability_and_Key_TermsThe mathematical theory of statistics is easier to learn when you know the language. This module presents important terms that will be used throughout the text.
