NC.M4.SP.1.3
Organize large datasets of real-world contexts (i.e. datasets that include 3 or more measures and have sample sizes >200) using technology (e.g., spreadsheets, dynamic data analysis tools) to determine: types of variables in the data set, possible outcomes for each variable, statistical questions that could be asked of the data, and types of numerical and graphical summaries could be used to make sense of the data.
Example Problems
An animal shelter recorded details about dogs available for adoption.
Who or what are the individuals in this data set?
| Dog | Age (years) | Weight (lb) | Breed | Shots? |
|---|---|---|---|---|
| Buddy | 4 | 52 | mixed | yes |
| Luna | 1 | 18 | terrier | no |
| Duke | 7 | 68 | labrador | yes |
| ... | ... | ... | ... | ... |
Who or what are the individuals in this data set?
An airport analyst logged details for several flights today.
Who or what are the individuals in this data set?
| Flight | Distance (mi) | Duration (min) | Gate | On-time? |
|---|---|---|---|---|
| AA 1387 | 965 | 142 | B12 | yes |
| DL 220 | 403 | 76 | D5 | no |
| UA 781 | 2460 | 310 | C7 | yes |
| ... | ... | ... | ... | ... |
Who or what are the individuals in this data set?
A registrar compiled information about courses offered this term.
How many variables are in this data set?
| Course | Credits | Enrollment | Department | Online? |
|---|---|---|---|---|
| BIO 120 | 4 | 132 | Biology | no |
| MATH 241 | 4 | 88 | Mathematics | yes |
| HIST 210 | 3 | 41 | History | no |
| ... | ... | ... | ... | ... |
How many variables are in this data set?

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