Vertical Articulation of Individual
Grade Expectations for Mathematics
Vermont‘s Framework of Standards and Learning Opportunities 

Standard  M:24 Data Patterns, Trends, ands Distributions

Introduction: 

Standard M:24 focuses on the analysis of patterns, trends or distributions in data.

Kindergarten

MK: 24   Analyzes patterns, trends, or distributions in data in a variety of contexts using “more,” “less,” or “equal.” (e.g., “In a plus 2 pattern,
  there will be more items on the fifth day than on the first day.”)

First Grade

M1: 24   Analyzes patterns, trends, or distributions in data in a variety of contexts using “more,” “less,” or “equal.”

Second Grade

M2: 24 Analyzes patterns, trends, or distributions in data in a variety of contexts by determining or using “more,” “less,” or “equal.” M(DSP)–2–2

Third grade

M3: 24 Analyzes patterns, trends, or distributions in data in a variety of contexts by determining or using “most  frequent” (mode), “least frequent,”
 “largest,” or “smallest.” M(DSP)–3–2

Fourth Grade

M4: 24 Analyzes patterns, trends, or distributions in data in a variety of contexts by determining or using measures of central tendency (median or mode),
 or range. M(DSP)–4–2

Fifth grade

M5: 24 Analyzes patterns, trends, or distributions in data in a variety of contexts by determining or using  measures of central tendency (mean, median, or mode)
 or range to analyze situations, or to solve problems. M(DSP)–5–2

Sixth Grade

M6: 24 Analyzes patterns, trends or distributions in data in a variety of contexts by determining or using measures of central tendency (mean,
           median, or mode) or dispersion (range) to analyze situations, or to solve problems. M(DSP)–6–2

Seventh Grade

M7: 24 Analyzes patterns, trends, or distributions in data in a variety of contexts by solving problems using measures of central tendency (mean,
           median, or mode), dispersion (range or variation), or outliers to analyze situations to determine their effect on mean, median, or mode; and
           evaluates the sample from which the statistics were developed (bias). M(DSP)–7–2

Eighth Grade

M8: 24 Analyzes patterns, trends, or distributions in data in a variety of contexts by determining or using measures of central tendency (mean,
           median, or mode), dispersion (range or variation), outliers, quartile values, or estimated line of best fit to analyze situations, or to solve
           problems; and evaluates the sample from which the statistics were developed (bias, random, or nonrandom).

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