Anticipating Patterns Statistical Inference Which Test? 100 400 300 200 500 Exploring Data 100 400 300 200 500 Planning a Study 100 400 300 200 500 Anticipating Patterns 100 400 300 200 500 Statistical Inference 100 400 300 200 500 End Game

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 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 t-test 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 t-test for mean? 400

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

What is a Chi-Squared Test? 500

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

What is z = 2.5? 100

mode > median > mean 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-and-effect 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, non-sampling, 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 E(X) = Σxp(x), where x is a numerical outcome and p(x) is the assigned probability for that x outcome? 200

The Empirical (68-95-99.7) 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

3. n must be sufficiently large (generally n ≥ 30) What is 1. μX-bar = μ 2. σX-bar = σX/√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

3. n must be sufficiently large (np ≥10 and n(1-p) ≥10 ) ? What is 1. μp = p 2. σp = √(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