PSYC 3000 Lecture Notes - Lecture 6: Confidence Interval, Interval Estimation, Bias Of An Estimator
17 Nov 2016
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8. 1 point and interval estimates of population parameters . Statistical inference methods: these methods use probability calculations that assume that the data were fathered with a random sample or a randomized experiment. The probability calculations refer to a sampling distribution of a statistic, which is often approximately a normal distribution. There are two types of statistics inference methods: estimation of population parameters, and, testing hypotheses about the parameter values. The most informative estimation methods constrict an interval of numbers, called a confidence interval, within which the unknown parameter value is believed to fall. Point estimation: a single number that is our. Interval estimate: an interval of numbers that is believed to contain that actual value of the parameter. Properties of point estimaters : a good estimator has a sampling distribution that is centered at the parameter it tried to estimate. This tells us the estimator tends to fall closer than other estimates to the parameter.
