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- https://bio.libretexts.org/Bookshelves/Agriculture_and_Horticulture/Quantitative_Methods_for_Plant_Breeding_(Suza_and_Lamkey)/01%3A_Chapters/1.04%3A_Categorical_Data_-_BinaryThis page covers concepts related to binomial data, focusing on scenarios with two possible outcomes, such as success or failure. It introduces binomial distribution, calculations for probabilities, m...This page covers concepts related to binomial data, focusing on scenarios with two possible outcomes, such as success or failure. It introduces binomial distribution, calculations for probabilities, means, variances, and confidence intervals, emphasizing sample size and independence. Applications include estimating the number of trials needed and using normal approximation for large samples. Key statistical methods discussed involve hypothesis testing and comparing proportions.
- https://bio.libretexts.org/Bookshelves/Agriculture_and_Horticulture/Quantitative_Methods_for_Plant_Breeding_(Suza_and_Lamkey)/01%3A_Chapters/1.17%3A_Applied_Learning_ActivitiesThis page provides downloadable Applied Learning Activities (ALAs) and recommended readings for chapters from chapter 8 onward, centered on R applications. Each chapter includes CSV data files for var...This page provides downloadable Applied Learning Activities (ALAs) and recommended readings for chapters from chapter 8 onward, centered on R applications. Each chapter includes CSV data files for various exercises, such as CRD data and ANOVA tasks. The document notes that more R format exercises will be added later.
- 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_ScienceMathematics and statistics are vital for science. They are especially important in ecology to make sense of the large quantities of variable data researchers collect. Ideally, ecologists could collec...Mathematics and statistics are vital for science. They are especially important in ecology to make sense of the large quantities of variable data researchers collect. Ideally, ecologists could collect data from every individual in the population, but this is rarely possible. As a result, ecologists must use data collected from a representative sample of individuals to draw inferences about basic biological phenomena for a population. This is where mathematics and statistics joins the party.
- https://bio.libretexts.org/Bookshelves/Agriculture_and_Horticulture/Quantitative_Methods_for_Plant_Breeding_(Suza_and_Lamkey)/01%3A_Chapters/1.06%3A_Continuous_DataThis page covers statistical methods for hypothesis testing in agricultural research, focusing on sample means from normal distributions, t-tests for comparing treatment means, and confidence interval...This page covers statistical methods for hypothesis testing in agricultural research, focusing on sample means from normal distributions, t-tests for comparing treatment means, and confidence intervals, emphasizing practical calculation through Excel. It details approaches like the paired and independent t-tests, as well as the Least Significant Difference (LSD) method for evaluating mean differences.
