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...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.
This section reviews inferential statistics are, the difference between scientific and statistical hypotheses, and how conclusions are made with data at hand.
This section reviews inferential statistics are, the difference between scientific and statistical hypotheses, and how conclusions are made with data at hand.
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.
