| Curricular Competency |
Use tables, simple bar graphs, or other formats to represent data and show simple patterns and trends |
Science 4 |
Processing and analyzing data and information |
|
| Curricular Competency |
Sort and classify data and information using drawings or provided tables |
Science 4 |
Processing and analyzing data and information |
|
| Curricular Competency |
Collect simple data |
Science 4 |
Planning and conducting |
|
| Curricular Competency |
Use tables, simple bar graphs, or other formats to represent data and show simple patterns and trends |
Science 3 |
Processing and analyzing data and information |
|
| Curricular Competency |
Sort and classify data and information using drawings or provided tables |
Science 3 |
Processing and analyzing data and information |
|
| Curricular Competency |
Collect simple data |
Science 3 |
Planning and conducting |
|
| Curricular Competency |
Sort and classify data and information using drawings, pictographs and provided tables |
Science 2 |
Processing and analyzing data and information |
|
| Big Ideas |
Analyzing the validity, reliability, and representation of data enables us to compare and interpret. |
Mathematics 9 |
No CCG |
| Keyword: data |
Elaboration: Data and Probability: Analyzing data and chance enables us to compare and interpret.Sample questions to support inquiry with students:What makes data valid and reliable?What is the difference between valid data and reliable data?What factors influence the validity and reliability of data? |
|
| Big Ideas |
Analyzing data by determining averages is one way to make sense of large data sets and enables us to compare and interpret. |
Mathematics 8 |
No CCG |
| Keyword: data |
Elaboration: Data and Probability: Analyzing data and chance enables us to compare and interpret.Sample questions to support inquiry with students:How does determining averages help us understand large data sets?What do central tendencies represent?How are central tendencies best used to describe a quality of a large data set? |
|
| Big Ideas |
Data from circle graphs can be used to illustrate proportion and to compare and interpret. |
Mathematics 7 |
No CCG |
| Keyword: Data |
Elaboration: Data and Probability: Analyzing data and chance enables us to compare and interpret.Sample questions to support inquiry with students:How is a circle graph similar to and different from other types of visual representations of data?When would you choose to use a circle graph to represent data?How are circle graphs related to ratios, percents, decimals, and whole numbers?How would circle graphs be informative or misleading? |
|
| Big Ideas |
Data from the results of an experiment can be used to predict the theoretical probability of an event and to compare and interpret. |
Mathematics 6 |
No CCG |
| Keyword: Data |
Elaboration: Data and Probability: Analyzing data and chance enables us to compare and interpret.Sample questions to support inquiry with students:What is the relationship between theoretical and experimental probability?What informs our predictions?What factors would influence the theoretical probability of an experiment? |
|
| Big Ideas |
Data represented in graphs can be used to show many-to-one correspondence. |
Mathematics 5 |
No CCG |
| Keyword: Data |
Elaboration: Data and Probability: Analyzing data and chance enables us to compare and interpret.Sample questions to support inquiry with students:How do graphs help us understand data?In what different ways can we represent many-to-one correspondence in a graph?Why would you choose many-to-one correspondence rather than one-to-one correspondence in a graph? |
|
| Big Ideas |
Concrete graphs help us to compare and interpret data and show one-to-one correspondence. |
Mathematics 1 |
No CCG |
| Keyword: data |
Elaboration: Data and Probability: Analyzing data and chance enables us to compare and interpret.Sample questions to support inquiry with students:What stories can data tell us?When might we use words like never, sometimes, always, more likely, and less likely?How does organizing concrete data help us understand the data? |
|
| Big Ideas |
Analyzing and interpreting experiments in data probability develops an understanding of chance. |
Mathematics 4 |
No CCG |
| Keyword: data |
Elaboration: Data and Probability: Analyzing data and chance enables us to compare and interpret.Sample questions to support inquiry with students:How is the probability of an event determined and described?What events in our lives are left to chance?How do probability experiments help us understand chance? |
|
| Curricular Competency |
Compare data with predictions and develop explanations for results |
Science 6 |
Processing and analyzing data and information |
|