Standard
Benchmark
Indicator | Description | Lesson Plans | Thinkfinity | Resources |
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4
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The student uses concepts and procedures of data analysis in a variety of situations.
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4.1
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The student applies the concepts of probability using concrete objects in a variety of situations.
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4.1.A1
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The student makes a prediction about a simple event in an experiment or simulation, conducts the experiment or simulation, and records the results in a graph using concrete objects, a pictograph with a symbol or picture representing only one, or a bar graph (2.4.A1d-e).
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4.1.K1
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The student recognizes whether an outcome of a simple event in an experiment or simulation is impossible, possible, or certain (2.4.K1g) ($).
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4.1.K2
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The student recognizes and states whether a simple event in an experiment or simulation including the use of concrete objects can have more than one outcome (2.4.K1g).
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4.2
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The student collects, records, and explains numerical (whole numbers) and non-numerical data sets including the use of concrete objects in a variety of situations.
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4.2.A1
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The student communicates the results of data collection and answers questions (identifying more, less, fewer, greater than, or less than) based on information from (2.4.A1e) ($):
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4.2.A1A
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graphs using concrete objects,
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4.2.A1B
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a pictograph with a whole symbol or picture representing only one (no partial symbols or pictures),
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4.2.A1C
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a horizontal or vertical bar graph.
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4.2.K1
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The student displays and reads numerical (quantitative) and non-numerical (qualitative) data in a clear, organized, and accurate manner including a title, labels, and whole number intervals using these data displays (2.4.K1h) ($):
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4.2.K1A
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The student graphs using concrete objects,
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4.2.K1B
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pictographs with a whole symbol or picture representing one (no partial symbols or pictures),
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4.2.K1C
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frequency tables (tally marks),
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4.2.K1D
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horizontal and vertical bar graphs,
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4.2.K1E
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Venn diagrams or other pictorial displays, e.g., glyphs.
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4.2.K2
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The student collects data using different techniques (observations or interviews) and explains the results (2.4.K1h) ($).
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4.2.A2
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determines categories from which data could be gathered (2.4.A1a) ($), e.g., categories could include shoe size, height, favorite candy bar, or number of pockets in clothing.
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4.2.K3
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The student identifies the minimum (lowest) and maximum (highest) values in a data set (2.4.K1a) ($).
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4.2.K4
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The student determines the mode (most) after sorting by one attribute (2.4.K1a, i) ($).
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4.2.K5
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The student sorts and records qualitative (non-numerical, categorical) data sets using one attribute (2.4.K1a) ($), e.g., color, shape, or size.
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