Maryland College and Career-Ready Standards
MD.MA.8.SP. Statistics and Probability (SP)
Investigate patterns of association in bivariate data.
8.SP.1. Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
8.SP.1.1. Ability to integrate technology and relate the scenarios to authentic student-centered situations.
8.SP.1.2. Ability to keep paired data organized in relation to one another within two sets of quantities.
8.SP.4. Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?
8.SP.4.1. Ability to integrate technology and to relate the scenarios to authentic student-centered situations.
MD.MA.AI. Algebra I
Unit 1: Relationships between Quantities and Reasoning with Equations
HSA-SSE.A. Interpret the structure of expressions.
A.SSE.1a. Interpret expressions that represent a quantity in terms of its context – Interpret parts of an expression, such as terms, factors, and coefficients.
A.SSE.1a.1. Ability to make connections between symbolic representations and proper mathematics vocabulary.
A.SSE.1b. Interpret expressions that represent a quantity in terms of its context – Interpret complicated expressions by viewing one or more of their parts as a single entity. For example, interpret P(1+r)^n as the product of P and a factor not depending on P.
A.SSE.1b.1. Ability to interpret and apply rules for order of operations.
Unit 3: Descriptive Statistics
HSS-ID.A. Summarize, represent, and interpret data on a single count or measurement variable.
S.ID.1. Represent data with plots on the real number line (dot plots, histograms, and box plots).
S.ID.1.1. Ability to determine the best data representation to use for a given situation.
S.ID.1.2. Knowledge of key features of each plot.
S.ID.1.4. Ability to analyze data given in different formats.
S.ID.2. Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
S.ID.2.1. Ability to interpret measures of center and spread (variability) as they relate to several data sets.
S.ID.3. Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
S.ID.3.1. Ability to recognize gaps, clusters, and trends in the data set.
HSS-ID.B. Summarize, represent, and interpret data on two categorical and quantitative variables.
S.ID.5. Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.
S.ID.5.2. Ability to read and use a two-way frequency table.