Biology 2244A/B Chapter Notes - Chapter 10: Frequency Distribution, Alltrials
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Categorical (or qualitative or attribute) data are data that can be separated into different categories called cells. Distinguished by characteristics not based on numerical values: ex. colours. Finding frequency count for each category might proceed to test the claim that the frequencies fit or agree with the colour distribution claimed by the manufacturer. Use x2 (chi-squared) distribution: unlike normal and student t distributions not symmetric, values of chi-squared distribution can be 0 or positive cannot be negative, different for each number of degrees of freedom. Objective: determine whether the distribution agrees with or fits with some claimed distribution. Define a multinomial experiment same way we define binomial experiment: has more categories. Multinomial experiment: number of trials is fixed, trials are independent, outcomes of each trial must be classified into exactly one of several categories, probabilities for different categories remain constant for each trial.