Math 3 Unit 8: Statistics
Goal 1: "I understand the importance of randomization in sampling data."
Essential Question #1
Why is randomization important in collecting data from a sample of people?
Why is randomization important in collecting data from a sample of people?
Goal 2: "I recognize bias in survey questions."
Essential Question #2
Why might a question be purposely written to be biased?
Why might a question be purposely written to be biased?
Goal 3: "I recognize bias in sampling methods."
Essential Question #3
Why is data from self-selected samples generally unreliable?
Why is data from self-selected samples generally unreliable?
Goal 4: "I can select appropriate methods of data collection depending on what I am researching."
Essential Question #4
Why are simulations valuable tools for statisticians?
Essential Question #5
List some characteristics of well-conducted survey, such that the results are representative of the whole population.
Why are simulations valuable tools for statisticians?
Essential Question #5
List some characteristics of well-conducted survey, such that the results are representative of the whole population.
Goal 5: "I understand the experimental design process."
Essential Question #6
Why do most experiments have a “placebo group” (also known as the control group)?
Essential Question #7
An observational study has established a correlation between a condition A and variable B. Is this sufficient evidence that the condition A causes B?
Essential Question #8
Why are simulations valuable tools for statisticians?
Why do most experiments have a “placebo group” (also known as the control group)?
Essential Question #7
An observational study has established a correlation between a condition A and variable B. Is this sufficient evidence that the condition A causes B?
Essential Question #8
Why are simulations valuable tools for statisticians?
Goal 6: "I understand and can interpret Margin of Error."
Essential Question #9
How can a statistician decrease their margin of error?
Essential Question #10
Why is it important for a statistic to have a low margin of error?
How can a statistician decrease their margin of error?
Essential Question #10
Why is it important for a statistic to have a low margin of error?