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- https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/07%3A_Hypothesis_Testing/7.01%3A_Introduction_to_Hypothesis_TestingThis is the role of statistics, to test the hypotheses of various theories to determine if they should be admitted into the accepted body of knowledge; how we understand our world. It was not long unt...This is the role of statistics, to test the hypotheses of various theories to determine if they should be admitted into the accepted body of knowledge; how we understand our world. It was not long until their work was subjected to the rigorous tests of the scientific method and found to be a failure. Then, the statistician makes a decision as to whether or not there is sufficient evidence, based upon analyses of the data, to reject the null hypothesis.
- 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_2023/09%3A_Hypothesis_Testing_with_One_Sample/9.01%3A_Introduction_to_Hypothesis_TestingFigure \PageIndex1 You can use a hypothesis test to decide if a dog breeder’s claim that every Dalmatian has 35 spots is statistically sound. (Credit: Robert Neff) The scientific method, briefly...Figure \PageIndex1 You can use a hypothesis test to decide if a dog breeder’s claim that every Dalmatian has 35 spots is statistically sound. (Credit: Robert Neff) The scientific method, briefly, states that only by following a careful and specific process can some assertion be included in the accepted body of knowledge.
- https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/08%3A_Confidence_Intervals/8.04%3A_A_Confidence_Interval_for_A_Population_ProportionBecause of this we will see the same basic format using the same three pieces of information: the sample value of the parameter in question, the standard deviation of the relevant sampling distributio...Because of this we will see the same basic format using the same three pieces of information: the sample value of the parameter in question, the standard deviation of the relevant sampling distribution, and the number of standard deviations we need to have the confidence in our estimate that we desire.
- 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/Courses/Highline_College/Statistics_Using_Technology_(Kozak)/08%3A_Estimation/8.01%3A_Basics_of_Confidence_IntervalsA point estimator is just the statistic that you have calculated previously. As an example, when you wanted to estimate the population mean, the point estimator is the sample mean and to estimate the ...A point estimator is just the statistic that you have calculated previously. As an example, when you wanted to estimate the population mean, the point estimator is the sample mean and to estimate the population proportion, you use the sample proportion. Point estimators are really easy to find, but they have some drawbacks. These problems are solved by using confidence intervals.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/14%3A_Apppendices/14.01%3A_B__Mathematical_Phrases_Symbols_and_Formulas/14.1.02%3A_FormulasThis page summarizes essential concepts in probability and statistics, covering key rules, distributions, and formulas for calculating probabilities, means, and variances. It delves into hypothesis te...This page summarizes essential concepts in probability and statistics, covering key rules, distributions, and formulas for calculating probabilities, means, and variances. It delves into hypothesis testing and confidence intervals using Z, t, Chi-square, and F tests.
- https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/09%3A_Hypothesis_Testing_with_One_Sample/9.01%3A_Introduction_to_Hypothesis_TestingFigure \PageIndex1 You can use a hypothesis test to decide if a dog breeder’s claim that every Dalmatian has 35 spots is statistically sound. (Credit: Robert Neff) The scientific method, briefly...Figure \PageIndex1 You can use a hypothesis test to decide if a dog breeder’s claim that every Dalmatian has 35 spots is statistically sound. (Credit: Robert Neff) The scientific method, briefly, states that only by following a careful and specific process can some assertion be included in the accepted body of knowledge.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/00%3A_Front_Matter/05%3A_PrefaceThis page provides a comprehensive resource for a one-semester statistics course tailored for business and economics students. It emphasizes practical applications, core concepts, and includes real-wo...This page provides a comprehensive resource for a one-semester statistics course tailored for business and economics students. It emphasizes practical applications, core concepts, and includes real-world examples. Developed from an OpenStax version with faculty input, it features a focus on formulas, statistical inference, and problem-solving examples.
- https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/06%3A_Interval_Estimates/6.04%3A_A_Confidence_Interval_for_A_Population_ProportionBecause of this we will see the same basic format using the same three pieces of information: the sample value of the parameter in question, the standard deviation of the relevant sampling distributio...Because of this we will see the same basic format using the same three pieces of information: the sample value of the parameter in question, the standard deviation of the relevant sampling distribution, and the number of standard deviations we need to have the confidence in our estimate that we desire.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Statistics_with_Technology_2e_(Kozak)/08%3A_Estimation/8.01%3A_Basics_of_Confidence_IntervalsA point estimator is just the statistic that you have calculated previously. As an example, when you wanted to estimate the population mean, the point estimator is the sample mean and to estimate the ...A point estimator is just the statistic that you have calculated previously. As an example, when you wanted to estimate the population mean, the point estimator is the sample mean and to estimate the population proportion, you use the sample proportion. Point estimators are really easy to find, but they have some drawbacks. These problems are solved by using confidence intervals.
