• Unit 1: Exploring Real-life Phenomena through Statistics 

     

    6.NR.2.1: Describe and interpret the center of the distribution by the equal share value (mean).

    I am learning to summarize categorical data sets in relation to the context.

    I am learning to summarize numerical data sets in relation to the context.

    I am learning to show the distribution of numerical data in plots on a number line.

    I am learning to show the distribution of categorical data using bar graphs.

     

    6.NR.2.3 Interpret numerical data to answer a statistical investigative question created. Describe the distribution of a quantitative (numerical) variable collected, including its center, variability, and overall shape.

     

    6.NR.2.4: Design simple experiments and collect data. Use data gathered from realistic scenarios and simulations to determine quantitative measures of center (median and/or mean) and variability (interquartile range and range). Use these quantities to draw conclusions about the data, compare different numerical data sets, and make predictions.

     

    6.NR.2.5 Relate the choice of measure of center and variability to the shape of the data distribution and the context in which the data were gathered.

     

    6.NR.2.6: Describe the impact that inserting or deleting a data point has on the mean and the median of a data set. Create data displays using a dot plot or box plot to examine this impact.

     

    5.MDR.7.2 Ask questions and answer them based on gathered information, observations, and appropriate graphical displays to solve problems relevant to everyday life.