Quantitative Data and Probability Exercises

Example 1

A scientist takes a big bucket of water from a lake and counts how many species of bacteria, bugs, and other creepy crawlies he finds in the bucket. Identify the population, the sample, the parameter, and the estimate in this situation.

Hint

How can we determine how many species are in this lake?

Example 2

A school takes a poll to find out what students want to eat at lunch. 70 students are randomly chosen to answer the poll questions. What are the population, the sample, the parameter, and the estimate of this study?

Hint

A sample is a subset of a population, while an estimate tries to, uh, estimate a parameter.

Example 3

When is it okay to NOT use random sampling?

Hint

Random sampling is what us allows us to make estimates from a sample that are representative of the population.

Example 4

You want to know what proportion of people enjoys getting a root canal. What type of study should be done?

Hint

We want an estimate of the proportion of a larger population.

Example 5

What does it mean for an experiment to be double blind?

Hint

While we like the mental image it gives us, it does not mean that everyone in the experiment is wearing two blindfolds. It does have to do with who can "see" which individuals are in the control and experimental groups.

Quantitative Data and Probability Exercises

Example 1

Example 2

Example 3

Example 4

Example 5

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