Exploring One–Variable Data
What should be considered before concluding that attending private school leads to better college admission outcomes based on observed positive association?
What study design involves randomly assigning subjects to different treatments and then comparing results?
Which method involves selecting part of a population without trying to influence any outcomes so you can generalize findings back to the whole population?
How does adding an outlier to a dataset affect its standard deviation?
If a researcher conducts an experiment with a very small sample size, which potential issue should they be most concerned about?
In comparing two distributions with similar shapes and centers but different spreads, how would you interpret these distributions using variance?
In a dataset, what does range measure?
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If a data set has a mean of 20 and a standard deviation of 5, which value would be considered an outlier?
What measure of center is calculated by adding all the data values and dividing by the number of data values?
Which statistical tool helps distinguish whether a correlation between two variables in observational data potentially indicates causation or merely reflects coincidence?