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Mathematics, 13.07.2019 22:10 michael4443

The measures how accurate the point estimate is likely to be in estimating a parameter. standard deviation degree of unbiasedness interval estimate margin of error confidence level why are confidence intervals preferred over significance tests by most researchers? they provide a range of plausible values for the parameter they allow use to accept the null hypothesis if the hypothesis value is contained within the interval since confidence intervals have a level of confidence associated with them, they give us more confidence in our decision regarding the null hypothesis they indicate whether or not the hypothesis parameter value is plausible all of these an interval estimate is typically preferred over a point estimate because i) it gives us a sense of accuracy of the point estimate ii) we know the probability that it contains the parameter (e. g., 95%) iii) it provides us with more possible parameter values i only ii only both i and ii all of these iii only

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