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Which Test? Which Test? 100 400 300 200 500 Explorin g Data Explorin g Data 100 400 300 200 500 Planning a Study Planning a Study 100 400 300 200 500 Anticipat ing Patterns Anticipat ing Patterns 100 400 300 200 500 Statistica l Inference Statistica l Inference 100 400 300 200 500 End Game

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Null hypothesis in Linear Regression Test using symbols (not words) 100 Check Answer

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What is Ho: β 1 = 0? 100

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One-sample procedures are applied to a set of normally distributed differences from two dependent samples 200 Check Answer

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What is a matched-pair t-test? 200

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Testing the average SAT scores of males vs. females from a sample of 50 each at OHS 300 Check Answer

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What is a two-sample t- test for means? 300

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A sample of 50 senior female heights were tested against the nationally stated average of 56 400 Check Answer

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What is a one-sample t- test for mean? 400

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Also known as a test of homogeneity of proportions 500 Check Answer

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What is a Chi-Squared Test? 500

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= 125, = 10, and x = 150, then z = ? = 125, = 10, and x = 150, then z = ?100 Check Answer

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What is z = 2.5? 100

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Of this type of distribution the relationship of mean, median, and mode is: mode > median > mean 200 Check Answer

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What is right-skewed distribution? 200

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Data of this kind can be displayed using pie charts, bar charts, or segmented bar charts 300 Check Answer

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What is categorical (qualitative) data? 300

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This indicates the calculated linear model is not of good fit 400 Check Answer

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What is a pattern in the residual plot, non-linear trend in scatterplot, or very low r 2 value? 400

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This happens when the line overestimates the actual outcome 500 Check Answer

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What is a negative residual? 500

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Most useful in establishing cause-and- effect relationships 100 Check Answer

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What is a controlled experiment? 100

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Sampling everyone in a classroom from a random selection of classrooms 200 Check Answer

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What is clustering? 200

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This is used in experiments to reduce variation from extraneous factors by creating similar groups 300 Check Answer

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What is blocking? 300

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These are the three main components of a well-designed experiment. 400 Check Answer

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What is randomization, control, and replication? 400

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These are the 3 main types of bias in sampling procedures. 500 Check Answer

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What is selection bias, non-response bias, and response bias? 500

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E(X) = 8, s x = 3, E(Y) = 20, and s y = 4 What is E(Y – X) and s y-x ? 100 Check Answer

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What is E(Y – X) = 20 – 8 = 12 and s y-x = (3 2 + 4 2 ) = 5? 100

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Formula for the mean value of a discrete random variable x 200 Check Answer

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What is x = x p(x), where x is a numerical outcome and p(x) is the assigned probability for that x outcome? 200

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The Empirical (68-95- 99.7) Rule can only be used when this is known about the data. 300 Check Answer

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What is a normal distribution? 300

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These are the 3 outcomes from the Sampling Distribution of X-bar and Central Limit Theorem. 400 Check Answer

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What is 1. X-bar = X 2. X-bar = X / n 3. n must be sufficiently large (generally n 30) NO matter the parent populations distribution? 400

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These are the 3 outcomes from the Sampling Distribution of p (proportion) and Central Limit Theorem. 500 Check Answer

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What is 1. p = What is 1. p = 2. p = ( (1- )/n) 3. n must be sufficiently large (np 5 and n(1-p) 5 ) ? 500

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Under what conditions would it be meaningful to construct a CI when the data consist of the entire population 100 Check Answer

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What is never? 100

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Rejected null hypothesis when it was actually true 200 Check Answer

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What is Type I Error? 200

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Estimated standard deviation of the statistic 300 Check Answer

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What is standard error of a statistic? 300

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Doing this divides the confidence interval size by 1.414 400 Check Answer

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How does doubling the sample size change the CI size? 400

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Sample size needed to obtain a 95% confidence with a margin of error of 4% for a percentage of voters 500 Check Answer

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What is 601 voters? 500

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BPS - 3rd Ed. Chapter 211 Inference for Regression.

BPS - 3rd Ed. Chapter 211 Inference for Regression.

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