Parameter vs Statistic Comparison
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About This MicroSim
This interactive simulation helps students understand one of the most fundamental distinctions in statistics: the difference between a parameter (a fixed value describing a population) and a statistic (a calculated value from a sample that varies from sample to sample).
The simulation displays:
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Left Panel (Population): A histogram showing all 200 values in the population, with the population mean (parameter, shown as the Greek letter mu) marked with a red vertical line. This value never changes.
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Middle Panel (Sample): A histogram of the current random sample drawn from the population, with the sample mean (statistic, shown as x-bar) marked with an orange vertical line. This value changes each time you draw a new sample.
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Right Panel (Comparison & History): Shows the difference between the current sample mean and population mean, plus a dot plot tracking all previous sample means so students can see the variability of statistics around the fixed parameter.
How to Use
- Draw New Sample: Click this button to randomly select a new sample from the population and calculate its mean
- Sample Size Slider: Adjust to see how sample size affects how close statistics tend to be to the parameter (larger samples produce less variable statistics)
- Reset: Generate a fresh population and clear the history to start over
Key Insights
- The population mean (parameter) is fixed at 70 and never changes
- Each sample mean (statistic) varies depending on which individuals happen to be selected
- As you draw more samples, the dot plot builds up showing the sampling distribution of the mean
- Larger sample sizes produce sample means that cluster more tightly around the true population mean
Lesson Plan
Learning Objectives
By the end of this activity, students will be able to:
- Define and distinguish between a parameter and a statistic
- Explain why statistics vary from sample to sample while parameters remain fixed
- Predict how sample size affects the variability of sample statistics
- Use proper notation (mu for population mean, x-bar for sample mean)
Target Audience
- AP Statistics students (high school)
- Introductory statistics college students
- Anyone learning the foundations of statistical inference
Prerequisites
- Understanding of mean (average)
- Basic familiarity with histograms
- Concept of a sample vs. a population
Classroom Activities
Activity 1: Predict and Observe (10 minutes)
- Before drawing any samples, ask students: "If the population mean is 70, what do you predict the sample mean will be?"
- Have students draw 5 samples and record each sample mean
- Discuss: Why are the sample means different each time?
Activity 2: Sample Size Investigation (15 minutes)
- Set sample size to 10 and draw 10 samples, observing the spread of dots
- Reset and repeat with sample size 50
- Reset and repeat with sample size 100
- Compare the three dot plots: What pattern do you notice?
Activity 3: Real-World Connection (10 minutes)
Discuss: "Imagine the population is all students at your school and the variable is height. Why would surveying 10 students give a different average than surveying 100 students? Which would you trust more to estimate the true average height of all students?"
Assessment Questions
- What is the difference between a parameter and a statistic?
- If you drew two random samples of size 25 from the same population, would you expect them to have the same mean? Explain.
- How does increasing sample size affect the variability of the sample mean?
- In this simulation, which symbol represents the parameter? Which represents the statistic?
References
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Wikipedia: Statistical Parameter - Comprehensive overview of statistical parameters and their role in probability distributions and statistical inference
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Khan Academy: Population Parameters vs Sample Statistics - Interactive lessons and practice problems on distinguishing parameters from statistics
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OpenIntro Statistics - Free open-source textbook with extensive coverage of sampling distributions and statistical inference
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p5.js Reference - Documentation for the p5.js library used to build this interactive simulation