Intro to Stats - Exam 1 Vocabulary

1. Define the field of Statistics
The science of collecting, analyzing, and interpreting data.

2. Define population.
The overall group about which you have interest.

3. Define sample.
A subset of the population.

4. Define random sample.
A sample where all members of the population have the same chance of being included.

5. Define representative sample.
A sample that has makeup consistent with the population.

6. Define parameter and statistic.
A parameter is a numerical characteristic of a population, and a statistic is a numerical characteristic of a random sample.

7. What is the whole point of statistical inference?
To draw conclusions about a population based upon a random sample (or about a parameter based on a statistic). Also, to see what statistics tell us about parameters (or random samples tell us about populations). (Any one of these answers would be correct.)

8. In words, what is a standard deviation? (I’m not looking for the formula.)
On the average, how much a list of data deviates from the mean.

9. What does a z-score tell you? (I’m not looking for the formula.)
How many standard deviations above the mean a raw score is.

10. If I say that the raw score 75 is at the 60th percentile, what does that mean?
Sixty percent of the data falls below 75.

11. What is probability?
A measurement of the likelihood of the occurrence of some chance event.

12. Define outcome.
A possible result of a probability experiment.

13. Define sample space.
A collection of all possible outcomes.

14. Define event.
A subset of the sample space, or a collection of outcomes. (Either answer is correct.)

15. Define simple event.
An event that consists of exactly one outcome.

16. Between what values do probabilities fall?
0 and 1