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Anticipating Patterns Which Test? Exploring Data Planning a Study 100 100 100 100 100 200 200 200 200 200 300 300 300 300 300 400 400 400 400 400 500 500 500 500 500 End Game Statistical Inference Null hypothesis in Linear Regression Test using symbols (not words) 100 Check Answer What is Ho: β1 = 0? 100 One-sample procedures are applied to a set of normally distributed differences from two dependent samples 200 Check Answer What is a matched-pair t-test? 200 Testing the average SAT scores of males vs. females from a sample of 50 each at OHS 300 Check Answer What is a two-sample ttest for means? 300 A sample of 50 senior female heights were tested against the nationally stated average of 5’6” 400 Check Answer What is a one-sample ttest for mean? 400 Also known as a test of homogeneity of proportions 500 Check Answer What is a Chi-Squared Test? 500 = 125, = 10, and x = 150, then z = ? 100 Check Answer What is z = 2.5? 100 Of this type of distribution the relationship of mean, median, and mode is: mode > median > mean 200 Check Answer What is right-skewed distribution? 200 Data of this kind can be displayed using pie charts, bar charts, or segmented bar charts 300 Check Answer What is categorical (qualitative) data? 300 This indicates the calculated linear model is not of good fit 400 Check Answer What is a pattern in the residual plot, non-linear trend in scatterplot, or very low r2 value? 400 This happens when the line overestimates the actual outcome 500 Check Answer What is a negative residual? 500 Most useful in establishing cause-andeffect relationships 100 Check Answer What is a controlled experiment? 100 Sampling everyone in a classroom from a random selection of classrooms 200 Check Answer What is clustering? 200 This is used in experiments to reduce variation from extraneous factors by creating similar groups 300 Check Answer What is blocking? 300 These are the three main components of a well-designed experiment. 400 Check Answer What is randomization, control, and replication? 400 These are the 3 main types of bias in sampling procedures. 500 Check Answer What is random sampling, nonsampling, and random sampling bias? 500 E(X) = 8, sx = 3, E(Y) = 20, and sy = 4 What is E(Y – X) and sy-x? 100 Check Answer What is E(Y – X) = 20 – 8 = 12 and sy-x = (32 + 42) = 5? 100 Formula for the mean value of a discrete random variable x 200 Check Answer What is x = xp(x), where x is a numerical outcome and p(x) is the assigned probability for that x outcome? 200 The Empirical (68-9599.7) Rule can only be used when this is known about the data. 300 Check Answer What is a normal distribution? 300 These are the 3 outcomes from the Sampling Distribution of X-bar and Central Limit Theorem. 400 Check Answer What is 1. X-bar = X 2. X-bar = X/n 3. n must be sufficiently large (generally n 30) NO matter the parent population’s distribution? 400 These are the 3 outcomes from the Sampling Distribution of p (proportion) and Central Limit Theorem. 500 Check Answer What is 1. p = p 2. p = (p(1-p)/n) 3. n must be sufficiently large (np 10 and n(1-p) 10 ) ? 500 Under what conditions would it be meaningful to construct a CI when the data consist of the entire population 100 Check Answer What is never? 100 Rejected null hypothesis when it was actually true 200 Check Answer What is Type I Error? 200 Estimated standard deviation of the statistic 300 Check Answer What is standard error of a statistic? 300 Doing this divides the confidence interval size by 1.414 400 Check Answer How does doubling the sample size change the CI size? 400 Sample size needed to obtain a 95% confidence with a margin of error of 4% for a percentage of voters 500 Check Answer What is 601 voters? 500

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