Learning Goals & Products

Learning Goals

1

I will be able to investigate siege outcomes using predictions, match data, and calculated probabilities.

2

I will be able to calculate expected payoff for possible outcomes in siege game strategies.

3

I will be able to compare three siege strategies using expected values and reasonable outcome probabilities.

4

I will be able to design and test a fair random method for a siege decision.

5

I will be able to justify a siege strategy using probability evidence and noted limits.

Products

individual

Your Siege Strategy Investigation Log

You will record a focused question. You will record predictions. You will record match data. You will record observed results. You will record probability calculations. Probability means how likely something is to happen. You will note unusual results. You will explain how they affect your next prediction.

individual

Your Siege Strategy Lab Display

You will compare three strategies using probabilities, payoff values, and expected values. Probability means how likely something is to happen. You will recommend one strategy. You will test a fair random method. You will explain the limits of your evidence.

Rubric
Mastery-Based Rubric Standards-first rubric
Category
Standard
Beginning (1)
Developing (2)
Proficient (3)
Exceeding (4)
Colorado
HS.S-MD.B.7 - (+) Analyze decisions and strategies using probability concepts (e.g., product testing, medical testing, pulling a hockey goalie at the end of a game).
  • I can identify a siege game decision, list possible outcomes, and tell whether my prediction matched the result with some support
  • I can use given or simple probabilities to describe which choice seems better, but my explanation may be incomplete or not fully connected to expected value.
  • I can calculate probabilities and expected payoff for at least two siege strategies and explain which strategy looks stronger based on my results
  • I can use a fair random method for one decision with some accuracy, and I can describe how odds and predictions influenced my choice.
  • I can calculate probabilities, expected values, and payoffs for at least three siege strategies and compare them using clear evidence from my match data or simulation
  • I can design and test a fair random decision method, then explain how odds, predictions, and expected value support my recommended strategy.
  • I can independently analyze multiple siege strategies by assigning reasonable probabilities, calculating expected payoff, and comparing outcomes to defend the strongest strategy
  • I can use match data, simulations, and a fair random method to make and justify decisions, and I can clearly explain how odds and predictions change strategy in a siege match.
Colorado
HS.S-MD.B.5.a - Find the expected payoff for a game of chance. *For example, find the expected winnings from a state lottery ticket or game at a fast-food restaurant.*
  • I can name a siege game strategy and identify possible outcomes, but my probabilities, payoff values, or predictions may be incomplete or partly inaccurate
  • I can use a random method with support, but I need help to explain how it is fair or how it connects to expected payoff.
  • I can calculate basic probabilities and expected payoff for one or two siege strategies with some accuracy
  • I can compare strategies using my results and make a simple prediction about which choice may work best, though my explanation may not fully justify all parts of my decision.
  • I can calculate probabilities, assign payoff values, and find expected value for at least three siege strategies
  • I can compare the strategies, explain how odds and predictions shaped my choice, and use a fair random method correctly to support one in-game decision.
  • I can accurately analyze multiple siege strategies using probabilities, expected payoff, and expected value to recommend the strongest choice
  • I can clearly defend my decision with match data, predictions, and a fair random method, and I can explain how my strategy would change if the odds or outcomes changed.
Colorado
HS.S-MD.B.6 - (+) Use probabilities to make fair decisions (e.g., drawing by lots, using a random number generator).
  • I can identify when a siege game choice needs a fair random method, but I may need help choosing the probabilities or explaining why it is fair
  • I can name the possible outcomes and begin to connect odds to a decision, though my reasoning may be incomplete or inconsistent.
  • I can use a simple probability model or random number method to make a fair in-game decision in a siege scenario
  • I can explain the possible outcomes, show basic odds, and use my result to compare at least one strategy.
  • I can use probabilities to make a fair decision, assign payoff values, and calculate expected value for multiple siege strategies
  • I can compare strategies using predicted outcomes, odds, and expected payoff, and I can explain why one option is stronger than another based on my evidence.
  • I can independently build and justify a probability-based strategy for a siege game using a fair random method, expected values, and match data or simulation results
  • I can evaluate and defend the strongest strategy by clearly connecting odds, predictions, and payoff to my final recommendation, and I can explain how changing probabilities would change the decision.
Colorado
HS.S-MD.B.5 - (+) Weigh the possible outcomes of a decision by assigning probabilities to payoff values and finding expected values.
  • I can identify a siege game decision and list the possible outcomes, but my probabilities, payoff values, or predictions may be incomplete or partly inaccurate
  • I can use support to compare at least one strategy and explain my choice in a simple way.
  • I can assign reasonable probabilities and payoff values to at least two siege strategies and calculate their expected values with some accuracy
  • I can explain how odds influence my prediction and use evidence from the match or simulation to support a basic recommendation.
  • I can calculate probabilities and expected values for three or more siege strategies accurately and compare them to determine which strategy has the strongest chance of winning
  • I can explain how my predictions changed based on the data and use a fair random method to make one uncertain decision.
  • I can create a clear, accurate probability model that weighs multiple siege strategies using probabilities, payoff values, and expected values, and I can justify my strongest recommendation with strong evidence
  • I can evaluate how changing odds affect strategy choices, test a fair random decision method, and clearly defend how my predictions and calculations led to the best decision.
Colorado
HS.S-MD.B.5.b - Evaluate and compare strategies on the basis of expected values. *For example, compare a high-deductible versus a low-deductible automobile insurance policy using various, but reasonable, chances of having a minor or major accident.*
  • I can identify a siege game strategy and describe a possible outcome using simple probability words like likely, unlikely, or certain
  • I can use a basic prediction or guess to explain why one choice might work better than another, with help.
  • I can calculate probabilities and expected payoff for at least one siege strategy and explain what the numbers mean
  • I can compare two strategies using evidence from a match log, but my reasoning may still be incomplete or only partly justified.
  • I can calculate and compare the expected values of at least three siege strategies and use those results to recommend the strongest strategy
  • I can explain how predicted outcomes, odds, and payoff values influence my choice and use a fair random method for one uncertain decision.
  • I can independently analyze several siege strategies by using probabilities, expected values, and match data to justify the best option
  • I can defend my recommendation with clear, accurate reasoning, explain why the strategy has the strongest chance of winning, and evaluate how fair random decision-making supports the plan.