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PART ONE DESCRIPTIVE STATISTICS
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a z score alpha level altemative ANOVA appropriate approximately normal average binomial calculations cell central tendency chi-square chosen column compared comparisons computational formula concepts conﬁdence interval correlation coefﬁcient criterion deﬁned deﬁnition described difference difﬁcult dividing equal estimate example expected frequencies F ratio factor ﬁgure ﬁnd ﬁnding ﬁrst ﬁve frequency distribution groups hypothesis testing inferential statistics interaction effect involving last lesson leamed level of signiﬁcance measurements median test method modiﬁed multiple normal curve normally distributed null hypothesis observed obtained one-sample one-tail parameter value positive outcomes possible prediction predictor variables problem procedure random sample random-effects model ranks regression analysis regression lines reject the null relationship represent result sample means sample statistic sampling distribution speciﬁc standard deviation standard error standard population standard scores statistician subtracting sum of squares Suppose test population tion total number treatment two-sample Type II error variance weight zero