Intro to Statistics
Overview
We can use what we know about collecting data to answer statistical questions.
Statistical questions anticipate variability in the data collected, which means that the answers to the question will not all be the same.
For example…
The question How fast did the students in my class run the race? is statistical because you need to collect data in order to answer it AND there is variability in
the data.
Data Collected ✓ | Variability ✓ |
each students race time | different finish times |
The question How fast did Frank run the race? is not statistical because it only
has one answer.
Data Collected ✓ | Variability ✘ |
Frank’s race time | only one answer – no variability |
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Determine whether question are statistical or not statistical.
How many pizzas did the pizzeria bake?
A. Statistical
B. Not Statistical
B. Not Statistical
The question does not have variability.
Determine whether question are statistical or not statistical.
How many pizzas does the pizzeria sell each day in the month of August?
A. Statistical
B. Not Statistical
A. Statistical
The question requires data collection, and the data has variability.
Determine whether question are statistical or not statistical.
How many cookies do middle school students typically eat in one week?
A. Statistical
B. Not Statistical
A. Statistical
The question requires data collection, and the data has variability.
Determine whether question are statistical or not statistical.
How many cookies can you buy with $5?
A. Statistical
B. Not Statistical
B. Not Statistical
The question does not have variability.
Determine whether question are statistical or not statistical.
How many students like blue more than red?
A. Statistical
B. Not Statistical
A. Statistical
The question requires data collection, and the data has variability.