6.1 Sampling Distributions for Sample Proportions

sampling variability

another term for sample-to-sample variation - this is the same as sampling error

sampling error

sample-to-sample variation

independence assumption

an assumption that the individuals in a sample are independent of each other

randomization condition

a condition where participants are randomly sampled and randomly assigned to treatments

sampling distribution model for a sample proportion

a model that describes the probability distribution of a sample proportion

sampling distribution

the distribution of the statistics over all possible samples

sample size assumption

an assumption where the sample size must be large enough - the close p is to 0, the larger the sample must be

sampling distribution model

a model used to describe a theoretical sampling distribution

10% condition

a condition where a sample should be no larger than 10% of the population

success/failure condition

a condition where the sample size must be large enough to observe at least 10 successes and at least 10 failures