Thompson (2002)
... what from sample to sample; and (b) the width of the interval (i.e., its precision) also varies somewhat from sample to sample (e.g., the 18th interval is considerably narrower than the 19th interval). But most relevant to the present discussion is the fact that one of the displayed intervals (12) ...
... what from sample to sample; and (b) the width of the interval (i.e., its precision) also varies somewhat from sample to sample (e.g., the 18th interval is considerably narrower than the 19th interval). But most relevant to the present discussion is the fact that one of the displayed intervals (12) ...
Chapter 2-6. More on Levels of Measurement
... “Whereas there is usually little dispute over whether nominal or ordinal properties have been established, there is often great dispute over whether or not a scale possesses a meaningful unit of measurement. Formal scaling methods designed to this end are discussed in Chapters 2, 10, and 15. For now ...
... “Whereas there is usually little dispute over whether nominal or ordinal properties have been established, there is often great dispute over whether or not a scale possesses a meaningful unit of measurement. Formal scaling methods designed to this end are discussed in Chapters 2, 10, and 15. For now ...
portable document (.pdf) format
... posterior distribution is called the Bayes estimator. Classical statistics, originating with R.A. Fisher, J. Neyman and E.S. Pearson, this includes the techniques of point and interval estimation, tests of significance and hypothesis testing. At first sight it might be judged to be an inferential ap ...
... posterior distribution is called the Bayes estimator. Classical statistics, originating with R.A. Fisher, J. Neyman and E.S. Pearson, this includes the techniques of point and interval estimation, tests of significance and hypothesis testing. At first sight it might be judged to be an inferential ap ...
Sampling 101 Why Sample?
... • A confidence interval specifies a range of values within which the unknown population parameter may lie – Normal CI values are 90, 95%, 99% and 99.9% ...
... • A confidence interval specifies a range of values within which the unknown population parameter may lie – Normal CI values are 90, 95%, 99% and 99.9% ...
Lecture 1
... Assume that a manufacturer of computer devices has a process which coats a computer part with a material that is supposed to be 100 microns (one micron = 1/1000 of a millimeter) thick. If the coating is too thin, then proper insulation of the computer device will not occur and it will not function r ...
... Assume that a manufacturer of computer devices has a process which coats a computer part with a material that is supposed to be 100 microns (one micron = 1/1000 of a millimeter) thick. If the coating is too thin, then proper insulation of the computer device will not occur and it will not function r ...
