Learners will develop statistical literacy by recognizing topics for investigation and formulating simple questions that can be answered with data.
4 specific outcomes
Specific Curriculum Outcomes
MATH-G2-DH-SCO1Identify simple topics of collective interest for investigation.
MATH-G2-DH-SCO2Match investigative topics to relevant questions.
MATH-G2-DH-SCO3Formulate questions that can be answered by gathering information about self, others, and their environment.
MATH-G2-DH-SCO4Appreciate the need for the use of appropriate questions in data collection.
MATH-G2-DH-ELO2
Collecting, Organising and Displaying Data - Collecting, organising, displaying and communicating data.
5 specific outcomes
Specific Curriculum Outcomes
MATH-G2-DH-SCO5List questions of interest for investigation.
MATH-G2-DH-SCO6Gather and record simple sets of data about self and others through observation and simple interviews.
MATH-G2-DH-SCO7Record data as a tally or as drawings (pictographs).
MATH-G2-DH-SCO8Use collected data to answer questions.
MATH-G2-DH-SCO9Make the connection that data collection is acquiring information to answer important questions.
MATH-G2-DH-ELO3
Using Statistical Methods to Analyze Data - Describing data sets
6 specific outcomes
Specific Curriculum Outcomes
MATH-G2-DH-SCO10Identify the most frequent count presented in any data sets (e.g., concrete graphs, pictographs, bar graphs, and tables).
MATH-G2-DH-SCO11Explain in their own words what the most frequent count indicates about the data.
MATH-G2-DH-SCO12Collect, group and analyze data.
MATH-G2-DH-SCO13Analyze data and make informed decisions using these data.
MATH-G2-DH-SCO14Use data to make informed decisions about real life situations.
MATH-G2-DH-SCO15
MATH-G2-DH-ELO4
Using Statistical Methods to Analyse Data - Developing and applying methods to analyse data sets.
10 specific outcomes
Specific Curriculum Outcomes
MATH-G2-DH-SCO16Ask questions to collect data.
MATH-G2-DH-SCO17Collect simple sets of data through observation and simple interview.
MATH-G2-DH-SCO18Use number statements to record the collected data.
MATH-G2-DH-SCO19Collect data using a variety of observation tools.
MATH-G2-DH-SCO20Organize, display and communicate data that has been collected.
MATH-G2-DH-SCO21
MATH-G2-DH-ELO5
Using Statistical Methods to Analyse Data - Predicting and describing the likelihood of events.
4 specific outcomes
Specific Curriculum Outcomes
MATH-G2-DH-SCO26Students should be able to:
MATH-G2-DH-SCO27Describe the likelihood that events will happen and use that information to make predictions.
MATH-G2-DH-SCO28Use mathematical language, including the terms “impossible”, “possible”, and “certain”, to describe the likelihood of complementary events happening.
MATH-G2-DH-SCO29Use the likelihood that an event will happen to make predictions and informed decisions.
Appreciate the importance of identifying the most frequent count of any given data.
Record data information on, bar graph, pictograph and tally chart.
MATH-G2-DH-SCO22Create different types of data presentations, including pictograph, and bar graphs to represent data.
MATH-G2-DH-SCO23Identify the most frequent count, if any, for various data sets presented in concrete graphs, pictographs, bar graphs, and tables. Identify the key elements of pictograph and bar graph.
MATH-G2-DH-SCO24Analyze data presented in various ways by asking and answering questions about the data.
MATH-G2-DH-SCO25Draw conclusions from the data by making observations and inferences.
