options: Interpret linear models.

Develop understanding of statistical variability.

Draw informal comparative inferences about two populations.

Summarize, represent, and interpret data on a single count or measurement variable.

Make inferences and justify conclusions from sample surveys, experiments, and observational studies.

Summarize and describe distributions.

Understand and evaluate random processes underlying statistical experiments.

Calculate expected values and use them to solve problems.

Use random sampling to draw inferences about a population.

Understand independence and conditional probability and use them to interpret data.

Investigate patterns of association in bivariate data.

Use the rules of probability to compute probabilities of compound events in a uniform probability model.

Summarize, represent, and interpret data on two categorical and quantitative variables.

Investigate chance processes and develop, use, and evaluate probability models.

Use probability to evaluate outcomes of decisions.
problem_activity: Problem 1
Which tree diagram corresponds with which table? How do you know?
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Problem 2
In a certain population, 30% of people get a particular disease. A test was developed to determine if any given person has the disease, but it isn’t perfect.
The test has a 90% chance of accurately predicting that someone has a disease, BUT it also has a 5% chance of predicting someone has this disease who doesn’t.
Below are two models you can use to visualize this situation.
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Using the information from the problem, write in the number of people in a random sample of 2,000 who take the test for the disease and get results that are true positive, false positive, true negative, and false negative.


correct_option_index: 9