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 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.
