In math, we're begun our data literacy unit. We will be learning how to collect, interpret, organize and display data.
-the importance of various sampling techniques for collecting a sample of data that is representative of a population
-collect data, using appropriate sampling techniques as needed, to answer questions of interest about a population, and organize the data in relative-frequency tables
-select from among a variety of graphs, including stacked-bar graphs, 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; and justify their choice of graphs
-create an infographic about a data set, representing the data in appropriate ways, including in relative-frequency tables and stacked-bar graphs, and incorporating any other relevant information that helps to tell a story about the data
| A relative frequency table is ideal when there is a large set of data. The numbers above could represent how many students read zero books, one book, two books, etc. in the month of November. Using the total number of students surveyed, 18, the data can be represented as a fraction and percent. |
| A stacked bar graph is ideal when there are two or more sets of related data. The bars allow for comparisons to be made among different groups. |
| An infographic displays data using pictures, numbers and words. |
| We will look at infographics like this one and analyse the data as well as the format. |

