Chi Square

- analysis sheet from last time: authorisation intervals creed intervals take on the usual formula: logical reason = statistic ± tcrit SE(statistic) parameter a b y (mean) ynew (individual) SE se · sqrt(1/N + mx2/ssxx) se/sqrt(ssxx) se · sqrt(1/N + (xo mx)2/ssxx) se · sqrt(1/N + (xnew mx)2/ssxx + 1) Summary sheet from last time: Hypothesis quiz Of course, any of the dominance intervals on the previous slide throne be turned into hypothesis tests by computing tobt = (observed expected)/SE, and analyze with tcrit. Testing H0: ?=0: tobt = r·sqrt(N-2)/sqrt(1-r2) Comp ar with tcrit for N-2 degrees of freedom. Testing H0: ?=?o: Need to practice session a different test statistic for this. Where tcrit is with N-2 degrees of freedom, and se = sqrt(?(yi yi)2/(N-2)) = sqrt((ssyy b·ssxy)/(n-2)) Statistics Chi-square tests and non­ parametric statistics 9.07 4/13/2004 descriptive Graphs Frequency distributions Mean, median, & mode Range, var iance, & standard deviation Inferential boldness intervals Hypothesis testing 1 Two categories of inferential statistics parametric What weve done so far parametric statistics Limited to duodecimal sorts of dependent variables (as opposed to, e.g.

, categorical or ordinal variables) train dependent variable scores are normally distributed, or at least their means are approximately normal. there exist virtually parametric statistical procedures that assume many other, non-normal distribution, but mostly a normal distribution is assumed. The universal point: parametric statistics operate with some assumed form for the distribution of the data. Nonparametr ic What well talk about in this speech co! mmunication Sometimes require that population variances are equal Parametric statistics scoop to design a study that allows you to use parametric procedures when possible, because parametric statistics are more powerful than nonparametric. Parametric procedures are robust...If you involve to get a full essay, order it on our website: OrderEssay.net

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