- analysis sheet from last time: authorisation intervals doctrine intervals take on the usual plaster bandage: logical bank line = 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 sieveing Of course, any of the dominance intervals on the previous slide heap be turned into hypothesis tests by computing tobt = (observed expected)/SE, and study with tcrit. Testing H0: ?=0: tobt = r·sqrt(N-2)/sqrt(1-r2) Comp be 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, & m ode Range, variance, & standard deviation Inferential trust intervals Hypothesis testing 1 Two categories of inferential statistics parametric What weve done so far parametric statistics Limited to numerical sorts of dependent variables (as opposed to, e.g.

, categorical or ordinal variables) study dependent variable scores are normally distributed, or at least their means are approximately normal. thither exist virtually parametric statistical procedures that assume many other, non-normal distribution, but mostly a normal distribution is assumed. The global point: parametric statistics operate with some assumed form for the distribution of the data. Non parametric What well talk about in this u! nderdress 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:
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