|
+ or - |
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. |
| |
B.
Probability |
| |
By the end of Grade
2, students will: |
| |
1.
Use chance
devices like spinners and dice to explore concepts of probability.
·
Certain,
impossible
·
More likely,
less likely, equally likely |
| |
2.
Provide
probability of specific outcomes.
·
Probability
of getting specific outcome when coin is tossed, when die is rolled,
when spinner is spun (e.g., if spinner has five equal sectors, then
probability of getting a particular sector is one out of five)
·
When picking
a marble from a bag with three red marbles and four blue marbles, the
probability of getting a red marble is three out of seven |
| |
Building upon knowledge and
skills gained in preceding grades, by the end of Grade 3, students will: |
| |
1.
Use everyday
events and chance devices, such as dice, coins, and unevenly divided
spinners, to explore concepts of probability.
·
Likely,
unlikely, certain, impossible
·
More likely,
less likely, equally likely |
| |
2.
Predict
probabilities in a variety of situations (e.g., given the number of
items of each color in a bag, what is the probability that an item
picked will have a particular color).
·
What
students think will happen (intuitive)
·
Collect data
and use that data to predict the probability (experimental) |
| |
Building upon knowledge and
skills gained in preceding grades, by the end of Grade 4, students will: |
| |
1.
Use everyday
events and chance devices, such as dice, coins, and unevenly divided
spinners, to explore concepts of probability.
·
Likely,
unlikely, certain, impossible, improbable, fair, unfair
·
More likely,
less likely, equally likely
·
Probability
of tossing “heads” does not depend on outcomes of previous tosses |
| |
2.
Determine probabilities of simple events based on equally
likely outcomes and express them as fractions. |
| |
3.
Predict
probabilities in a variety of situations (e.g., given the number of
items of each color in a bag, what is the probability that an item
picked will have a particular color).
·
What
students think will happen (intuitive)
·
Collect data
and use that data to predict the probability (experimental)
·
Analyze all
possible outcomes to find the probability (theoretical) |
| |
Building upon knowledge and
skills gained in preceding grades, by the end of Grade 5, students will: |
| |
1.
Determine
probabilities of events.
·
Event, probability of an event
·
Probability of certain event is 1 and of impossible event
is 0 |
| |
2.
Determine
probability using intuitive, experimental, and theoretical methods
(e.g., using model of picking items of different colors from a bag).
·
Given numbers of various types of items in a bag, what is
the probability that an item of one type will be picked
·
Given data obtained experimentally, what is the likely
distribution of items in the bag |
| |
3.
Model situations involving probability using simulations
(with spinners, dice) and theoretical models. |
| |
Building upon knowledge and
skills gained in preceding grades, by the end of Grade 6, students will: |
| |
1.
Determine probabilities of events.
·
Event, complementary event, probability of an event
·
Multiplication rule for probabilities
·
Probability of certain event is 1 and of impossible event
is 0
·
Probabilities of event and complementary event add up to 1 |
| |
2.
Determine
probability using intuitive, experimental, and theoretical methods
(e.g., using model of picking items of different colors from a bag).
·
Given
numbers of various types of items in a bag, what is the probability that
an item of one type will be picked
·
Given data
obtained experimentally, what is the likely distribution of items in the
bag |
| |
3.
Explore
compound events. |
| |
4.
Model
situations involving probability using simulations (with spinners, dice)
and theoretical models. |
| |
5.
Recognize and understand the connections among the
concepts of independent outcomes, picking at random, and fairness. |
| |
Building upon knowledge and
skills gained in preceding grades, by the end of Grade 7, students will: |
| |
1.
Interpret
probabilities as ratios, percents, and decimals. |
| |
2.
Model situations involving probability with simulations
(using spinners, dice, calculators and computers) and theoretical
models.
·
Frequency, relative frequency |
| |
3.
Estimate
probabilities and make predictions based on experimental and theoretical
probabilities. |
| |
4.
Play and analyze probability-based games, and discuss the
concepts of fairness and expected value. |
| |
Building upon knowledge and
skills gained in preceding grades, by the end of Grade 8, students will: |
| |
1.
Interpret
probabilities as ratios, percents, and decimals. |
| |
2.
Determine
probabilities of compound events. |
| |
3.
Explore the probabilities of conditional events (e.g., if
there are seven marbles in a bag, three red and four green, what is the
probability that two marbles picked from the bag, without replacement,
are both red). |
| |
4.
Model
situations involving probability with simulations (using spinners, dice,
calculators and computers) and theoretical models.
·
Frequency,
relative frequency |
| |
5.
Estimate
probabilities and make predictions based on experimental and theoretical
probabilities. |
| |
6.
Play and analyze probability-based games, and discuss the
concepts of fairness and expected value. |
| |
Building upon
knowledge and skills gained in preceding grades, by the end of Grade 12,
students will: |
| |
1.
Calculate the expected value of a probability-based game,
given the probabilities and payoffs of the various outcomes, and
determine whether the game is fair. |
| |
2.
Use concepts
and formulas of area to calculate geometric probabilities. |
| |
3.
Model
situations involving probability with simulations (using spinners, dice,
calculators and computers) and theoretical models, and solve problems
using these models. |
| |
4.
Determine
probabilities in complex situations.
·
Conditional
events
·
Complementary events
·
Dependent
and independent events |
| |
5.
Estimate
probabilities and make predictions based on experimental and theoretical
probabilities. |
| |
6.
Understand
and use the “law of large numbers” (that experimental results tend to
approach theoretical probabilities after a large number of trials). |