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- https://bio.libretexts.org/Bookshelves/Agriculture_and_Horticulture/Quantitative_Methods_for_Plant_Breeding_(Suza_and_Lamkey)/01%3A_Chapters/1.05%3A_Categorical_Data_MultivariateThis page covers the use of multinomial distributions and Chi-square (χ2) tests for analyzing categorical data. It explains procedures for testing genetic ratio hypotheses (such as 3:1 and 9:3...This page covers the use of multinomial distributions and Chi-square (χ2) tests for analyzing categorical data. It explains procedures for testing genetic ratio hypotheses (such as 3:1 and 9:3:3:1), assessing independence and homogeneity, and using contingency tables. The text highlights practical applications, significance in plant studies, and calculations of chi-square statistics, including Yates’ Correction for small samples.
- https://bio.libretexts.org/Courses/Gettysburg_College/01%3A_Ecology_for_All/01%3A_Introduction_to_Ecology/1.05%3A_An_Overview_of_Essential_Mathematics_Used_in_Science/1.5.03%3A_Testing_hypotheses--Inferential_statisticsThis section reviews inferential statistics are, the difference between scientific and statistical hypotheses, and how conclusions are made with data at hand.
- https://bio.libretexts.org/Workbench/General_Ecology_Ecology/Chapter_1%3A_Introduction_to_Ecology/1.6%3A_Testing_Hypotheses_-_Inferential_StatisticsThis section reviews inferential statistics are, the difference between scientific and statistical hypotheses, and how conclusions are made with data at hand.
- https://bio.libretexts.org/Bookshelves/Introductory_and_General_Biology/Biology_(Kimball)/20%3A_General_Science/20.05%3A_Statistical_MethodsThis page discusses how biologists manage numerical data by comparing discrete and continuous variables. It covers relevant calculations such as mean, standard deviation, and standard error of the mea...This page discusses how biologists manage numerical data by comparing discrete and continuous variables. It covers relevant calculations such as mean, standard deviation, and standard error of the mean (S.E.M.) to evaluate data reliability. Confidence limits are highlighted for assessing the probable range of a population's true mean, typically at a 95% confidence level.
- https://bio.libretexts.org/Bookshelves/Agriculture_and_Horticulture/Quantitative_Methods_for_Plant_Breeding_(Suza_and_Lamkey)/01%3A_Chapters/1.03%3A_Central_Limit_Theorem_Confidence_Intervals_and_Hypothesis_TestsThis page covers statistical concepts including normal distribution, Central Limit Theorem, confidence intervals, and hypothesis testing. It illustrates how sample means from normal and non-normal dis...This page covers statistical concepts including normal distribution, Central Limit Theorem, confidence intervals, and hypothesis testing. It illustrates how sample means from normal and non-normal distributions behave, emphasizing reduced variance with increased sample size. Methods for evaluating normality using temperature data and calculating z-scores with Excel are discussed.
