Search
- Filter Results
- Location
- Classification
- Include attachments
- 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/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/01%3A_Description/02%3A_What_Do_Data_Look_Like_(Graphs)/2.01%3A_Introduction_to_Looking_at_Data_(This_is_what_too_many_numbers_looks_like)Why do we need a whole chapter about charts?
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.02%3A_Introduction_to_Data_Formations_and_GraphicsThis chapter focuses on transforming survey data from the 2012 General Social Survey (GSS) and visualizing it using the R programming language. The survey targets the American population's attitudes t...This chapter focuses on transforming survey data from the 2012 General Social Survey (GSS) and visualizing it using the R programming language. The survey targets the American population's attitudes towards police use of force. The chapter explains how to import the data using the haven package, transform categorical variables correctly, and employ the dplyr package for data manipulation. Additionally, it introduces the ggplot2 package for creating graphical representations of the data.
- 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/American_River_College/STAT_300%3A_My_Introductory_Statistics_Textbook_(Mirzaagha)/01%3A_Basic_Ideas/1.04%3A_Introduction_to_Statistics/1.4.03%3A_Descriptive_StatisticsDescriptive statistics are numbers that are used to summarize and describe data. The word "data" refers to the information that has been collected from an experiment, a survey, a historical record, et...Descriptive statistics are numbers that are used to summarize and describe data. The word "data" refers to the information that has been collected from an experiment, a survey, a historical record, etc. Descriptive statistics are just descriptive. They do not involve generalizing beyond the data at hand. Generalizing from our data to another set of cases is the business of inferential statistics.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.03%3A_Creating_a_New_Variable_and_Producing_Summary_StatisticsThis chapter focuses on creating new variables and producing summary statistics using the 2018 Part 1 crime data from Pennsylvania's Uniform Crime Report. It explains the distinction between Part 1 (s...This chapter focuses on creating new variables and producing summary statistics using the 2018 Part 1 crime data from Pennsylvania's Uniform Crime Report. It explains the distinction between Part 1 (serious) and Part 2 (less serious) crimes and the limitations of the UCR due to underreporting. The chapter guides how to manipulate data in R, including renaming variables, calculating crime rates, and categorizing cities by population.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Statistics_Through_an_Equity_Lens_(Anthony)/01%3A_Chapters/1.03%3A_ProbabilityThis chapter introduces the concept of probability, emphasizing its significance in daily decision-making and its role in statistics. It covers probability definitions, rules, distributions, and their...This chapter introduces the concept of probability, emphasizing its significance in daily decision-making and its role in statistics. It covers probability definitions, rules, distributions, and their application to social justice issues. Key topics include the normal curve, z-scores, and blending probability with social issues like racial profiling and wrongful convictions. The chapter underscores the importance of understanding probability to facilitate awareness and drive social change.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Statistics_Through_an_Equity_Lens_(Anthony)/01%3A_Chapters/1.05%3A_Significance_of_Statistical_Inference_MethodsThis chapter explores inferential statistics, focusing on concepts such as confidence intervals, hypothesis testing, and errors in statistical inference. It emphasizes the importance of understanding ...This chapter explores inferential statistics, focusing on concepts such as confidence intervals, hypothesis testing, and errors in statistical inference. It emphasizes the importance of understanding sampling variations and discusses tests like t-tests and chi-square tests. It also touches on the misuse of statistics in scientific racism, emphasizing the need for socially just statistical methods. The chapter links statistical inference to broader societal issues.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Mostly_Harmless_Statistics_(Webb)/03%3A_Descriptive_Statistics/3.01%3A_Measures_of_CenterBoth graphical and numerical methods of summarizing data make up the branch of statistics known as descriptive statistics. Later, descriptive statistics will be used to estimate and make inferences ab...Both graphical and numerical methods of summarizing data make up the branch of statistics known as descriptive statistics. Later, descriptive statistics will be used to estimate and make inferences about population parameters using methods that are part of the branch called inferential statistics. This section introduces numerical measurements to describe sample data.
- https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/02%3A_What_Do_Data_Look_Like_(Graphs)/2.01%3A_Introduction_to_Looking_at_Data_(This_is_what_too_many_numbers_looks_like)Why do we need a whole chapter about charts?
