Slopes
When statisticians want to predict outcomes based on input variables using models created with collected data, which method are they most likely using?
Observational study
Randomized block design
Simulation
Controlled experiment
In a study involving categorical variables, what statistical test could you use to test for association?
ANOVA.
T-test.
Linear Regression.
Chi-square test.
In order to assess the center and spread of a distribution of a quantitative variable, which measurement is not typically used?
Range
Standard deviation
Mean
Quartile deviation
In a random experiment, what is the probability of an impossible event occurring?
0.5
1
0
It cannot be determined.
Which accurately describes the nature of variation in points' positions relative to a theoretical line?
Completely non-random
Somewhat random
Somewhat non-random
Random or non-random
Which type of plot would be best for identifying both individual values and potential outliers in a small dataset?
Pie chart
Box plot
Bar graph
Histogram
What is the name of the process that involves selection of every nth element from a list after a starting point is randomly chosen?
Experiential sampling
Random dial sampling
Systematic sampling
Voluntary response sampling

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What term describes the likelihood that a particular outcome will occur when an experiment is repeated many times?
(alternative response)
Probability
(alternative response)
(alternative response)
If an analyst wants to determine the relationship between multiple socioeconomic variables and health outcomes across different countries, which approach is most appropriate for accounting for interactions and confounders?
Canonical correlational analyses
Multivariable logistic regression
Survival analyses
Partial least squares path modeling
When observing a scatterplot, how might one identify an outlier in the context of a linear relationship?
A point exactly on the trend line
The point closest to the y-intercept
A point that lies far from the trend line
A point with the highest x-value