Simple Hypotheses - University of Arizona Math
... Many critical regions are either determined by the consequences of the Neyman-Pearson lemma or by using analogies of this fundamental lemma. Rather than presenting a proof of this lemma, we will provide some intuition for the choice of critical region through the following “game”. We will conduct a ...
... Many critical regions are either determined by the consequences of the Neyman-Pearson lemma or by using analogies of this fundamental lemma. Rather than presenting a proof of this lemma, we will provide some intuition for the choice of critical region through the following “game”. We will conduct a ...
Inferences from sample data
... of obtaining a sample mean further from μ0 than 30 is more than 0.05. Likewise, for any population mean, μ0, outside this interval, the probability of obtaining a sample mean further from μ0 than 30 is less than 0.05. ...
... of obtaining a sample mean further from μ0 than 30 is more than 0.05. Likewise, for any population mean, μ0, outside this interval, the probability of obtaining a sample mean further from μ0 than 30 is less than 0.05. ...
Statistics 2014, Fall 2001
... In both situations, we have a second unknown parameter, involved in the random variable. We want to be able to do inference about the single parameter using sample data. Defn: Let X1, X2, …, Xn be a random sample from a normal distribution with (unknown) mean and (unknown) standard deviation ...
... In both situations, we have a second unknown parameter, involved in the random variable. We want to be able to do inference about the single parameter using sample data. Defn: Let X1, X2, …, Xn be a random sample from a normal distribution with (unknown) mean and (unknown) standard deviation ...
Statistics for Non-Statisticians
... the Type I error rate (Type I error: rejecting the null hypothesis when it is actually true). In this case we use ANOVA to compare that the treatment means are different from each other. Hence ANOVA can be considered as a generalization of t-test for dependent samples. For comparison of two groups, ...
... the Type I error rate (Type I error: rejecting the null hypothesis when it is actually true). In this case we use ANOVA to compare that the treatment means are different from each other. Hence ANOVA can be considered as a generalization of t-test for dependent samples. For comparison of two groups, ...
x - Videolectures
... Your viewpoint: my degree of belief that I have AIDS is 3.2% Your doctor’s viewpoint: 3.2% of people like this will have AIDS G. Cowan ...
... Your viewpoint: my degree of belief that I have AIDS is 3.2% Your doctor’s viewpoint: 3.2% of people like this will have AIDS G. Cowan ...
Introduction to Statistics
... If a student knows he/she will be missing an exam then he/she must contact the instructor in a timely fashion before the exam and provide valid documentation to support his/her absence. Whether an absence is “excused” or not is determined by the instructor using the University’s missed class policy. ...
... If a student knows he/she will be missing an exam then he/she must contact the instructor in a timely fashion before the exam and provide valid documentation to support his/her absence. Whether an absence is “excused” or not is determined by the instructor using the University’s missed class policy. ...
