Binomial population proportions refer to situations where we are interested in estimating or making inferences about proportions within two possible outcomes (success/failure). It involves counting how many times an event occurs within a fixed number of trials.
Related terms
Sample Proportion: The proportion of successes observed in a sample from a binomial population.
Confidence Interval for Proportions: A range of values that likely contains the true population proportion for a binomial distribution.
Hypothesis Test for Proportions: A statistical test used to determine if there is enough evidence to support or reject a claim about the population proportion in a binomial distribution.