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Statistical Inference: Confidence Intervals and Tests of Significance, Quizzes of Statistics

The concepts of statistical inference, specifically confidence intervals and tests of significance. Statistical inference provides methods for drawing conclusions about a population based on sample data. Two types of inference are discussed: confidence intervals, which estimate a population parameter and indicate the reliability of an estimate, and tests of significance, which assess the evidence for or against a claim about a population. The document also covers the conditions for inferencing about a mean, including having a simple random sample from the population of interest, the variable measured having a normal distribution, and the population mean being unknown but the population standard deviation being known.

Typology: Quizzes

2009/2010

Uploaded on 11/11/2010

mvtrumpet13
mvtrumpet13 🇺🇸

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Download Statistical Inference: Confidence Intervals and Tests of Significance and more Quizzes Statistics in PDF only on Docsity! TERM 1 statistical inference DEFINITION 1 provides methods for drawing conclusions about a population from sample data two types of inference: confidence intervals and significance tests; both based on the smpling distributions of statistics TERM 2 confidence intervals DEFINITION 2 estimate of a population parameter and is used to indicate the reliability of an estimate. in a word problem, indicated by the word "estimating" TERM 3 tests of significance DEFINITION 3 used to assess the evidence for or against a claim about a population TERM 4 conditions for inferencing about a mean DEFINITION 4 1) have an SRS from the population of interest 2) the variable measured has a normal distribution; N(,) in the population 3) , population mean, is unknown, but , population sd is known TERM 5 x DEFINITION 5 population mean
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