PRACTICAL DATA SCIENCE

2. Probability – Based on personal judgment.
4. Probability Distribution – Lists values and their probabilities.
5. – A possible result of an experiment.
7. Experiment – All outcomes are equally likely.
10. Interval – A range of values likely to contain the parameter, based on a confidence level.
11. Distribution – Shows probabilities of a random variable’s values.
12. Normal Distribution – A normal distribution with mean 0 and standard deviation 1.
13. – A group of outcomes.
14. – Process of approximating a population parameter using sample data.
17. Experiment – A process with outcomes determined by chance.
18. Space – The set of all possible outcomes.

1. (Standard Score) – Number of standard deviations a value is from the mean.
3. Probability – The probability of event B occurring given that event A has already happened.
6. Random Variable – Countable values.
8. Estimate – A single value used to estimate a parameter (e.g., sample mean).
9. Exclusive Events – Events that cannot happen at the same time (no common outcomes).
10. Random Variable – Any value within an interval.
13. Probability – Based on actual data or experiments.
15. Variable – A value determined by chance.
16. Probability – Based on equally likely outcomes.