Data – Data Literacy (Gr5)
Skills:
- Collection and organization – explain the importance of various sampling techniques for collecting a sample of data that is representative of a population (4:53)
- Collection and organization – collect data, using appropriate sampling techniques as needed, to answer questions of interest about a population (3:37)
- Collection and organization – organize data in relative-frequency tables (2:18)
- Visualization – the type of graph best suited to represent various sets of data; display the data in the graphs with proper sources, titles, and labels, and appropriate scales (7:34)
- Visualization – create an infographic about a data set, representing the data using relative-frequency tables and stacked-bar graph (14:12)
- Visualization – create an infographic about a data set, representing the data using bar graph and line graph (10:02)
- Analysis – mean and the median and the mode(s), if any, for various data sets involving whole numbers (3:46)
- Analysis – mean and the median and the mode(s), if any, for various data sets involving decimal numbers (9:20)
- Analysis – analyse different sets of data presented using bar graph by asking and answering questions about the data, drawing conclusions, then make convincing arguments and informed decisions (1:48)
- Analysis – analyse different sets of data presented using staked-bar graph by asking and answering questions about the data, drawing conclusions, then make convincing arguments and informed decisions (2:30)
- Analysis – analyse different sets of data presented using line graph by asking and answering questions about the data, drawing conclusions, then make convincing arguments and informed decisions (6:24)
- Analysis – analyse different sets of data presented using pictographs by asking and answering questions about the data, drawing conclusions, then make convincing arguments and informed decisions (4:30)
- Analysis – analyse different sets of data presented using relative-frequency tables by asking and answering questions about the data, drawing conclusions, then make convincing arguments and informed decisions (4:27)