Search the California Content Standards

Cluster:
Understand ratio concepts and use ratio reasoning to solve problems.

Standard:
Use ratio and rate reasoning to solve real-world and mathematical problems, e.g., by reasoning about tables of equivalent ratios, tape diagrams, double number line diagrams, or equations. Solve unit rate problems including those involving unit pricing and constant speed. For example, if it took 7 hours to mow 4 lawns, then at that rate, how many lawns could be mowed in 35 hours? At what rate were lawns being mowed?

Cluster:
Understand ratio concepts and use ratio reasoning to solve problems.

Standard:
Use ratio and rate reasoning to solve real-world and mathematical problems, e.g., by reasoning about tables of equivalent ratios, tape diagrams, double number line diagrams, or equations. Find a percent of a quantity as a rate per 100 (e.g., 30% of a quantity means 30/100 times the quantity); solve problems involving finding the whole, given a part and the percent.

Cluster:
Understand ratio concepts and use ratio reasoning to solve problems.

Standard:
Use ratio and rate reasoning to solve real-world and mathematical problems, e.g., by reasoning about tables of equivalent ratios, tape diagrams, double number line diagrams, or equations. Use ratio reasoning to convert measurement units; manipulate and transform units appropriately when multiplying or dividing quantities.

Cluster:
Develop understanding of statistical variability.

Standard:
Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates variability in students’ ages.

Cluster:
Develop understanding of statistical variability.

Standard:
Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.

Cluster:
Develop understanding of statistical variability.

Standard:
Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.

Cluster:
Summarize and describe distributions.

Standard:
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.

Cluster:
Summarize and describe distributions.

Standard:
Summarize numerical data sets in relation to their context, such as by: Reporting the number of observations.

Cluster:
Summarize and describe distributions.

Standard:
Summarize numerical data sets in relation to their context, such as by: Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.

Cluster:
Summarize and describe distributions.

Standard:
Summarize numerical data sets in relation to their context, such as by: Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.