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Chapter 4 Statistical inferences
... choosing the sample size • When we estimate a parameter, all we have is the estimate value from n measurements contained in the sample. There are two questions that usually arise: • (i) How far our estimate will lie from the true value of the parameter? • (ii) How many measurements should be conside ...
... choosing the sample size • When we estimate a parameter, all we have is the estimate value from n measurements contained in the sample. There are two questions that usually arise: • (i) How far our estimate will lie from the true value of the parameter? • (ii) How many measurements should be conside ...
Chapter 4
... Analysis of variance (ANOVA) is used to test for significant difference among three or more means. Special Terms and Symbols N = number of scores n = the number of scores in a group k = the number of independent groups or the number of trials (measures) performed on the same subjects (repeated ...
... Analysis of variance (ANOVA) is used to test for significant difference among three or more means. Special Terms and Symbols N = number of scores n = the number of scores in a group k = the number of independent groups or the number of trials (measures) performed on the same subjects (repeated ...
Study Guide for Final Exam
... 2. CONFIDENCE INTERVAL. It lets you estimate the size of the effect as well as whether or not there is strong evidence for a specific alternative hypothesis about the parameter. For example, if the hypotheses were H0: μ = 475 and HA: μ ≠ 475, then the 95% confidence interval (475.8, 476.2) would all ...
... 2. CONFIDENCE INTERVAL. It lets you estimate the size of the effect as well as whether or not there is strong evidence for a specific alternative hypothesis about the parameter. For example, if the hypotheses were H0: μ = 475 and HA: μ ≠ 475, then the 95% confidence interval (475.8, 476.2) would all ...
View/Open
... Let F = the collection of all elliptically symmetric distributions which are absolutely continuous. The hypothesis to be tested is: ...
... Let F = the collection of all elliptically symmetric distributions which are absolutely continuous. The hypothesis to be tested is: ...