Standards Map

Mathematics > Grade 7 > Statistics and Probability
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Mathematics | Grade : 7

Domain - Statistics and Probability

Cluster - Draw informal comparative inferences about two populations.

[7.SP.B.4] - Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. For example, decide whether the words in a chapter of a seventh-grade science book are generally longer than the words in a chapter of a fourth-grade science book.

Resources:


  • Measure of variability
    A determination of how much the performance of a group deviates from the mean or median, most frequently used measure is standard deviation.

Predecessor Standards:

No Predecessor Standards found.

Successor Standards:

  • AI.S-ID.A.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.*
  • AII.S-IC.B.5
    Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.*
  • MI.S-ID.A.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.*
  • MIII.S-IC.B.4
    Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.*

Same Level Standards:

  • 7.SP.A.2
    Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
  • 7.SP.B.3
    Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team and both distributions have similar variability (mean absolute deviation) of about 5 cm. The difference between the mean heights of the two teams (10 cm) is about twice the variability (5 cm) on either team. On a dot plot, the separation between the two distributions of heights is noticeable.
  • 7.LS.2.4
    Analyze data to provide evidence that disruptions (natural or human-made) to any physical or biological component of an ecosystem can lead to shifts in all its populations. Clarification Statement: Focus should be on ecosystem characteristics varying over time, including disruptions such as hurricanes, floods, wildfires, oil spills, and construction.