PS: Probability and Statistics

Probability and Statistics

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Organizing, displaying, and analyzing data with appropriate statistical measures and graphs. Theoretical and experimental probability, bias identification in collection and analysis, and probability-based predictions. Bivariate data patterns and the limits of data-driven inference.

PS.DCData in ContextPS.DSDescriptive StatisticsPS.ISInferential StatisticsPS.PProbability
Example Problems
A school chooses 3 randomly selected athletes from each of its sports teams to participate in a survey about athletics at the school.

What type of sample is this:
simple random sample, stratified random sample, cluster random sample, or systematic random sample?
A fishery biologist recorded the length of trout, in centimeters, and their weight, in grams.
After plotting her results, the biologist noticed that the relationship between the two variables was fairly linear, so she used the data to calculate the following
least squares regression equation for predicting weight, in grams, from length, in centimeters:



What is the
residual for a trout that is long and weighs ?
Priya was testing versus with a sample of 12 observations. Her test statistic was . Assume that the conditions for inference were met.

What is the approximate
P-value for Priya's test?
Round your answer to the nearest thousandth.
What is the critical value for constructing a 90% confidence interval?
The parks department will repaint 5 of 50 trail markers. They number the markers and use the random digit table printed below to choose a simple random sample.

Which markers are in the sample?
Goblins

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