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      History, Government, Economics, and Geography, Approved 2005
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Grade 5  
Mathematics, Approved 2003  
4    Data
     
  
Standard
   Benchmark
      Indicator
DescriptionLesson Plans Thinkfinity Resources
4 The student uses concepts and procedures of data analysis in a variety of situations.
   4.1 The student applies the concepts of probability to draw conclusions and to make predictions and decisions including the use concrete objects in a variety of situations.
      4.1.A1 Assessed Indicator on the Optional Constructed Response Assessment conducts an experiment or simulation with a simple event including the use of concrete materials; records the results in a chart, table, or graph; uses the results to draw conclusions about the event; and makes predictions about future events (2.4.A1j-k).
      4.1.K1 recognizes that all probabilities range from zero (impossible) through one (certain) (2.4.K1i) ($).
      4.1.K2 lists all possible outcomes of a simple event in an experiment or simulation in an organized manner including the use of concrete objects (2.4.K1g-j).
      4.1.A2 uses the results from a completed experiment or simulation of a simple event to make predictions in a variety of real-world situations (2.4.A1j-k), e.g., the manufacturer of Crunchy Flakes puts a prize in 20 out of every 100 boxes. What is the probability that a shopper will find a prize in a box of Crunchy Flakes, if they purchase 10 boxes?
      4.1.A3 compares what should happen (theoretical probability/expected results) with what did happen (experimental probability/empirical results) in an experiment or simulation with a simple event (2.4.A1j).
      4.1.K3 recognizes a simple event in an experiment or simulation where the probabilities of all outcomes are equal (2.4.K1i).
      4.1.K4 represents the probability of a simple event in an experiment or simulation using fractions (2.4.K1c).
   4.2 The student collects, organizes, displays, explains, and interprets numerical (rational numbers) and non numerical data sets in a variety of situations with a special emphasis on measures of central tendency.
      4.2.A1 Assessed Indicator interprets and uses data to make reasonable inferences, predictions, and decisions, and to develop convincing arguments from these data displays (2.4.A1k) ($):
      4.2.A1A graphs using concrete materials,
      4.2.A1B pictographs,
      4.2.A1C frequency tables,
      4.2.A1D bar and line graphs,
      4.2.A1E Venn diagrams and other pictorial displays,
      4.2.A1F line plots,
      4.2.A1G charts and tables,
      4.2.A1H circle graphs.
      4.2.K1 organizes, displays, and reads numerical (quantitative) and non-numerical (qualitative) data in a clear, organized, and accurate manner including a title, labels, categories, and whole number and decimal intervals using these data displays (2.4.K1j) ($):
      4.2.K1A graphs using concrete objects,
      4.2.K1B pictographs,
      4.2.K1C frequency tables,
      4.2.K1D bar and line graphs,
      4.2.K1E Venn diagrams and other pictorial displays, e.g., glyphs,
      4.2.K1F line plots,
      4.2.K1G charts and tables,
      4.2.K1H circle graphs,
      4.2.K1I single stem-and-leaf plots.
      4.2.K2 collects data using different techniques (observations, polls, tallying, interviews, surveys, or random sampling) and explains the results (2.4.K1j) ($).
      4.2.A2 uses these statistical measures of a whole number data set to make reasonable inferences and predictions, answer questions, and make decisions (2.4.A1a) ($):
      4.2.A2A minimum and maximum values,
      4.2.A2B range,
      4.2.A2C mode,
      4.2.A2D median,
      4.2.A2E mean when the data set has a whole number mean.
      4.2.A3 recognizes that the same data set can be displayed in various formats and discusses why a particular format may be more appropriate than another (2.4.A1k) ($).
      4.2.K3 Assessed Indicator identifies, explains, and calculates or finds these statistical measures of a whole number data set of up to twenty whole number data points from 0 through 1,000 (2.4.K1a) ($):
      4.2.K3A minimum and maximum values,
      4.2.K3B range,
      4.2.K3C mode (no-, uni-, bi-),
      4.2.K3D median (including answers expressed as a decimal or a fraction without reducing to simplest form),
      4.2.K3E mean (including answers expressed as a decimal or a fraction without reducing to simplest form).
      4.2.A4 recognizes and explains the effects of scale and interval changes on graphs of whole number data sets (2.4.A1k).


Kansas State Department of Education
120 SE 10th Avenue
Topeka, KS 66612-1182
(785) 296-3201