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  • 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_statistics
    This 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_Statistics
    This 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/Agriculture_and_Horticulture/Quantitative_Methods_for_Plant_Breeding_(Suza_and_Lamkey)/01%3A_Chapters/1.08%3A_The_Analysis_of_Variance_(ANOVA)
    This page introduces ANOVA for comparing multiple treatments, emphasizing its advantages over the t-test. It covers constructing ANOVA tables, calculating sums and mean squares, and determining the F-...This page introduces ANOVA for comparing multiple treatments, emphasizing its advantages over the t-test. It covers constructing ANOVA tables, calculating sums and mean squares, and determining the F-ratio for significance testing, along with a focus on corn yield examples. Critical F-values are provided for statistical reference.
  • https://bio.libretexts.org/Bookshelves/Agriculture_and_Horticulture/Quantitative_Methods_for_Plant_Breeding_(Suza_and_Lamkey)/01%3A_Chapters/1.06%3A_Continuous_Data
    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 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.

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