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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.
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TERM 1
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
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
DEFINITION 3 used to assess the evidence for or against a claim about a population TERM 4
DEFINITION 4
DEFINITION 5 population mean
TERM 6
DEFINITION 6 (chpt 13) SD of a sample n