"One sample said 60%," Comet says. "Would another sample agree?"
"Let us find out," Wren says. "40 tokens, draw 10, count the yes cards, put them back. Twenty times."
Comet draws. Nova checks each token against the full list of 40 answers. "4 yes." Again. "5." Again. "6."
Twenty samples later Wren reads the row. "Lowest 4, highest 8. Most around 5 or 6. What do you notice?"
"They scatter," Comet says. "But they pile up near 5.6. That is 56%, close to the true 55%."
Nova projects the dot plot of twenty yes counts. "Would you like a hint? One sample is one dot."
"So a statistic wobbles from sample to sample," Wren says. "But it wobbles around the parameter."
Here are the crew's own twenty samples from Nova's Run Log. Yours will differ, and that is the point.
| Samples 1 to 10 | Samples 11 to 20 |
|---|---|
| 4, 5, 6, 5, 7, 6, 5, 4, 6, 8 | 5, 6, 7, 5, 6, 4, 5, 7, 6, 5 |
The twenty yes counts add to 112, so their mean is 5.6 out of 10, or 56%.
The true parameter is 55%. Samples wobble, but they center near the truth. That is why random samples can be trusted.
A single sample can land high or low. More samples, or a bigger sample, pull the estimate in. Week 8 measures that wobble.
| Statement | True or false? |
|---|---|
| Different random samples of the same population give different statistics. | ? |
| The parameter changes every time a new sample is drawn. | ? |
| 112 ÷ 20 = 5.6 | ? |
| Monday's sample of 6 was within the range of the twenty lab samples. | ? |
Good lab work. Tomorrow the ways a sample goes wrong, and the right way to draw one, step by step.