PRELIM LEC 4 (4): ESTIMATION Flashcards
These provide a means for drawing conclusions about a population given the data actually obtained from the sample. They allow a researcher to make generalizations to a larger number of individuals, based on information from a limited number of subjects
INFERENTIAL STATISTICS
▪The basis for decision-making statistical inferences. It refers to a large number of experiences, events or outcomes that will happen in a population in the long run. Likelihood and chance are similar terms.
▪ Examples are usually based on tossing a coin and finding heads or tails. Probabilities are statements of likelihood expressed in values from 0 to 1.0. p = the number of outcomes the total possible outcomes
Probability theory
statistics enable us to judge the probability that our inferences or estimates are close to the truth
Statistical inference
are theoretical distributions developed by mathematicians to organize statistical outcomes from various sample sizes so that we can determine the probability of something happening by chance in the population from which the sample was drawn. They allow us to know the relative frequency or probability of occurrence of any value in the distribution
Sampling distribution
Statistic whose calculated value is used to estimate a population parameter
estimator
A particular realization of an estimator
Estimate
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single number that can be regarded as the most plausible value
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specific numerical value estimate of a parameter.
The best point estimate of the population mean is the sample mean