options: Interpret linear models.

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

Calculate expected values and use them to solve problems.

Summarize and describe distributions.

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

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

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

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

Understand and evaluate random processes underlying statistical experiments.

Use probability to evaluate outcomes of decisions.

Use random sampling to draw inferences about a population.

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

Develop understanding of statistical variability.

Draw informal comparative inferences about two populations.

Investigate patterns of association in bivariate data.
problem_activity: Problem 1
Each point in the scatterplot below shows one individual’s height, in inches, and weight, in pounds.
The range of the data presented is
$${120 \leq y \leq 190}$$
.
The domain of the data presented is
$${63 \leq x \leq 72}$$
.
[IMG]
Label the axes with the appropriate variables and units, and mark quantities on the axes in an appropriate scale.
Problem 2
Match the scatterplot with the description. Write a scenario for the scatterplot that does not have a description.
[IMG]


correct_option_index: 7