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Standard 4.4 Data Analysis, Probability, and
Discrete Mathematics
All students will develop an understanding of the concepts and
techniques of data analysis, probability, and discrete mathematics,
and will use them to model situations, solve problems, and analyze
and draw appropriate inferences from data. |
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Big Idea Data Analysis: Reading,
understanding, interpreting, and communicating data are critical in
modeling a variety of real-world situations, drawing appropriate
inferences, making informed decisions, and justifying those
decisions.
Big Idea Probability: Probability quantifies the
likelihood that something will happen and enables us to make
predictions and informed decisions.
Big Idea Discrete Mathematics: Discrete mathematics
consists of tools and strategies for representing, organizing, and
interpreting non-continuous data. |
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4.4.7 A.
Data Analysis |
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Descriptive Statement: In today's information-based world,
students need to be able to read, understand, and interpret data in
order to make informed decisions. In the early grades, students
should be involved in collecting and organizing data, and in
presenting it using tables, charts, and graphs. As they progress,
they should gather data using sampling, and should increasingly be
expected to analyze and make inferences from data, as well as to
analyze data and inferences made by others. |
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Essential Questions |
Enduring Understandings |
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- How can the collection, organization,
interpretation, and display of data be used to answer questions?
(4.5A4; 4.5A6; 4.5E1; 4.5E2; 4.5F1; 4.5F6) |
- The message conveyed by the data depends on how
the data is collected, represented, and summarized. (4.5A6; 4.5D6;
4.5E1; 4.5E2; 4.5E3)
- The results of a statistical investigation can be used to support
or refute an argument. (4.5D1; 4.5D3; 4.5D5; 4.5E2; 4.5E3; 4.5F6) |
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Areas of Focus/Cumulative Progress Indicators |
Comments and Examples |
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1.
Select and use appropriate representations for sets of data, and measures of
central tendency (mean, median, and mode).
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Type of display most appropriate for given data
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Box-and-whisker plot, upper quartile, lower quartile
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Scatter plot
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Calculators and computer used to record and process information
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Sample ECR Item: Janet
recorded the number of math problems she did for homework each night
for twelve days. Her data is shown below:
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12 |
3 |
8 |
10 |
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13 |
4 |
5 |
9 |
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14 |
15 |
7 |
8 |
• Draw a box-and-whisker plot to represent Janet's data.
• E xplain what your box-and-whisker plot shows about the data.
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2.
Make inferences and formulate and evaluate arguments based on displays and
analysis of data.
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4.4.7
B. Probability |
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Descriptive Statement: Students need to understand the
fundamental concepts of probability so that they can interpret
weather forecasts, avoid unfair games of chance, and make informed
decisions about medical treatments whose success rate is provided in
terms of percentages. They should regularly be engaged in predicting
and determining probabilities, often based on experiments (like
flipping a coin 100 times), but eventually based on theoretical
discussions of probability that make use of systematic counting
strategies. High school students should use probability models and
solve problems involving compound events and sampling. |
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Essential Questions |
Enduring Understandings |
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- How can experimental and theoretical
probabilities be used to make predictions or draw conclusions?
(4.5D5; 4.5D6) |
- Experimental results tend to approach
theoretical probabilities after a large number of trials. |
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Areas of Focus/Cumulative Progress Indicators |
Comments and Examples |
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1. Interpret probabilities as ratios, percents, and decimals. |
Instructional/Assessment Focus:
• "Interpret" here includes recognizing equivalent forms for
expressing a probability.• Assessment of this CPI is generally
within the context of one or more of the other content CPIs. |
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2. Model situations involving probability with simulations (using
spinners, dice, calculators and computers) and theoretical models.
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Frequency, relative frequency
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Instructional Focus:
• This CPI is largely an
instructional CPI. Assessment of this CPI is generally within the
context of one or more of the other content CPIs. |
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3.
Estimate probabilities and make predictions based on experimental and
theoretical probabilities |
Sample
SCR Item: If a computer randomly chooses a letter in the word
“mathematics,” what is the probability that it chooses the letter
“a”? (Answer: 2/11)
Sample
MC Item: Four friends are playing a game with 4 different
spinners. Carol has a spinner with 3 equal sections numbered 1 to 3.
Maria has a spinner with 5 equal sections numbered 1 to 5. Linda has
a spinner with 6 equal sections numbered 1 to 6. Julie has a spinner
with 8 equal sections numbered 1 to 8. Everyone spins at the same
time. The scoring is 10 points for an odd number and 5 points for an
even number. Who has the best chance of getting the highest score?
* a.
Carol
b. Maria
c. Linda
d. Julie |
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4.
Play and analyze probability-based games, and discuss the concepts
of fairness and expected value. |
Instructional/Assessment Focus:
• Assessment will focus on analysis of the probabilities, more than
the playing of the games. The actual playing of games may
appropriately receive additional attention during instruction.
•
"Discuss" here means "explain." |
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4.4.7
C. Discrete Mathematics - Systematic Listing And Counting |
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Descriptive Statement: Development of strategies for
listing and counting can progress through all grade levels, with
middle and high school students using the strategies to solve
problems in probability. Primary students, for example, might find
all outfits that can be worn using two coats and three hats; middle
school students might systematically list and count the number of
routes from one site on a map to another; and high school students
might determine the number of three-person delegations that can be
selected from their class to visit the mayor. |
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Essential Questions |
Enduring Understandings |
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- How can attributes be used to classify
data/objects?
- What is the best way to solve this? What counting strategy works
best here? |
- Grouping by attributes (classification) can be
used to answer mathematical questions. (4.5E1; 4.5E3)
- Algorithms can effectively and efficiently be used to quantify and
interpret discrete information. |
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Areas of Focus/Cumulative Progress Indicators |
Comments and Examples |
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1.
Apply the multiplication principle of counting.
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Permutations: ordered situations with replacement (e.g., number of possible
license plates) vs. ordered situations without replacement (e.g., number of
possible slates of 3 class officers from a 23 student class)
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Sample SCR Item: Of the
20 students who have expressed interest in student government,
determine the number of possibilities for a slate of three officers.
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2.
Explore counting problems involving Venn diagrams with three attributes (e.g.,
there are 15, 20, and 25 students respectively in the chess club, the debating
team, and the engineering society; how many different students belong to the
three clubs if there are 6 students in chess and debating, 7 students in chess
and engineering, 8 students in debating and engineering, and 2 students in all
three?).
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Instructional Focus:
• This content is introduced at this grade level, but mastery of the
content is not assessed in statewide assessment at this grade level. |
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3.
Apply techniques of systematic listing, counting, and reasoning in
a variety of different contexts.
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4.4.7 D. Discrete Mathematics - Vertex-Edge Graphs And Algorithms |
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Descriptive Statement: Vertex-edge graphs, consisting of
dots (vertices) and lines joining them (edges), can be used to
represent and solve problems based on real-world situations.
Students should learn to follow and devise lists of instructions,
called "algorithms," and use algorithmic thinking to find the best
solution to problems like those involving vertex-edge graphs, but
also to solve other problems. |
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Essential Questions |
Enduring Understandings |
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- How can visual tools such as networks
(vertex-edge graphs) be used to answer questions? (4.5E1; 4.5E3)
- How can algorithmic thinking be used to solve problems? |
- Optimization is finding the best solution
within given constraints.
- Algorithms can effectively and efficiently be used to quantify and
interpret discrete information. |
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Areas of Focus/Cumulative Progress Indicators |
Comments and Examples |
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1. Use vertex-edge graphs to represent and find solutions to
practical problems.
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Finding the shortest network connecting specified sites
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Finding the shortest route on a map from one site to another
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Finding the shortest circuit on a map that makes a tour of
specified sites |
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