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一共五个人来面,有faculty,coordinator,不同背景的人。
behavior: 问为啥申请analytic,对analytic有什么认识。
Technical:问linear regression。非术语解释linear regression。
问你对这个program有什么contribution。(楼主说自己会找个工作,不会拖累他们的placement,实在想不出来其他的。。。把他们都逗乐了)
问你对这个program有什么问题。
面试总共12分钟左右,非常快。楼主面试前准备了一些统计term的解释,分享一下给大家参考吧。给自己攒RP。
Linear regression: an approach to modelingthe relationship between a scalar dependent variable y and one or moreexplanatory variable x. P-value: the probability ofobtaining a test statistic at least as extreme as the one that was actuallyobserved, assuming the null hypothesis is true. Aresearcher will often reject the null hypothesis when the P-value turns out tobe less than a certain significance level. Type I Error: the incorrect rejectionof a true null hypothesis. Type II Error: failure to reject afalse null hypothesis. Mode: the most frequent orcommon score in the distribution. Positively skewed: it has a tail extendingout to the right. Negatively skewed: it has a tail extendingout to the left. Standard deviation: it is an indicator of thevariability of a set of continuous scores around the mean. Variance: The variance of a set of scores is simply thestandard deviation of that set of scores squared. Statistical Inference: statisticalinference makes use of information from a sample to draw conclusions about thepopulation from which the sample was taken. Central Limit TheoremThe Central LimitTheorem states that whenever a random sample of size n is taken from anydistribution with mean μ and variance file://localhost/Users/vivian/Library/Caches/TemporaryItems/msoclip/0/clip_image002.png, then the sample mean file://localhost/Users/vivian/Library/Caches/TemporaryItems/msoclip/0/clip_image004.png will be approximately normallydistributed with mean μ and variance file://localhost/Users/vivian/Library/Caches/TemporaryItems/msoclip/0/clip_image006.png/n. The larger the value of the samplesize n, the better the approximation to the normal. Quartile: values that divide a sample of data into fourgroups containing equal numbers of observation.Coefficient of Variation:t is the ratio of the sample standarddeviation to the sample mean:file://localhost/Users/vivian/Library/Caches/TemporaryItems/msoclip/0/clip_image008.pngQQ plot: it is used to see if a given set of datafollows some specified distribution. It should be approximately linear if thespecified distribution is the correct model.Power: the probability of rejecting the nullhypothesis when the null hypothesis is false.
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