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4/6
Week 02 · Asking Good Questions

Thursday

Who is missing?
// Choosing how to collect data that can fairly answer the question
⏱ about 20 min

Thursday: Who Is Missing?

Comet could not wait. Last night she ran a quick trial of one question with 20 members.

"Big news," she says. "Almost everyone visits in the evening! Fourteen out of twenty!"

Wren looks at the time on her sheet. "What do you notice? You asked between six and nine at night."

Comet's face falls. "Oh. Everybody I asked was there in the evening."

Nova projects a second sheet. "Would you like a hint?" she asks. "Wren ran the same question at four different times. Compare the two."

Wren smiles at you. "Data analyst, which trial should the crew trust more?"

Two trial runs

Both trials asked 20 members "When do you usually visit?" These trial numbers are made up for the Commons Count story.

Comet asked only in the evening. Wren asked in the morning, the afternoon, the evening and on the weekend.

Usual visit timeTrial A: Comet, evening onlyTrial B: Wren, four times
Morning15
Afternoon35
Evening146
Weekend24
Total2020
COMPARE THE TRIALS
  • Read the question.
  • Tap your answer.
In trial A, how many members said they usually visit in the evening?
How many more evening answers did trial A get than trial B?
Why did trial A get so many evening answers?
Which trial gives a fairer picture of when members visit?

More answers, same lean

Bias often comes from the type or source of the data collected. Collecting more data does not remove it.

If Comet asked 40 evening members instead of 20, her trial would still lean toward the evening.

The Census Bureau does not let addresses picked for its survey drop out. If they could, the sample's data would quickly become less valid.

It also keeps its sample as small as it can, to lighten the load on the people who answer.

THINK IT THROUGH
  • Read the question.
  • Tap your answer.
Comet says, "I will just ask 40 evening members. More data fixes it." Is she right?
If people picked for a sample could drop out, what would happen to the sample's data?
StatementTrue or false?
Asking only in the evening changed the trial's result.?
Collecting more data removes bias that comes from the source.?
Bias often comes from the type or source of the data.?
Both trials asked 20 members.?
WHY THIS EXERCISEWhere and when you collect data shapes whose voices end up in it.
Comet's trial only reached people who visit at one time of day. Which time? Type one word.
WHY THIS EXERCISESpotting the source of a lean is the first step to fixing it.
On paper, draw two rows of 20 small squares, one for each trial. Shade the evening answers in each row.

Careful work. Tomorrow is Impact Friday, where you look at bias in what people build.

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