MA.912.DP.1.2
Interpret data distributions represented in various ways. State whether the data is numerical or categorical, whether it is univariate or bivariate and interpret the different components and quantities in the display.
Example Problems
Here is a table giving the number of neighborhood adults by bike usage and helmet use:
Find the marginal distribution of bike usage in counts.
Rides bike =
| Helmet use | Rides bike | Does not ride bike |
|---|---|---|
| Always | 45 | 10 |
| Not always | 15 | 30 |
Find the marginal distribution of bike usage in counts.
Rides bike =
Here is a table giving the number of neighborhood adults by bike usage and helmet use:
Find the marginal distribution of bike usage in counts.
Does not ride bike =
| Helmet use | Rides bike | Does not ride bike |
|---|---|---|
| Always | 45 | 10 |
| Not always | 15 | 30 |
Find the marginal distribution of bike usage in counts.
Does not ride bike =
Here is a table classifying 360 employees by department and work location:
Find the marginal distribution of department in counts.
Sales =
| Department | Remote | On-site |
|---|---|---|
| Sales | 40 | 60 |
| Engineering | 85 | 55 |
| Support | 20 | 100 |
Find the marginal distribution of department in counts.
Sales =
Khan Academy ResourcesInterpret two-way tablesDescribing trends in scatterplotsConditional distributionsDescribing distributionsInterpreting slope and y-intercept for linear modelsEstimating mean and median in data displaysCalculating mean and median from data displaysInterpreting slope of regression lineMarginal and conditional distributionsExample of direction in scatterplotsScatter plot: smokersMedian in a histogramInterpreting two-way tablesInterpreting y-intercept in regression modelEstimating mean and median in data displaysExample: Describing a distribution

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