Across
- 3. Is a statistical term that measures the accuracy with which a sample distribution represents a population by using standard deviation.
- 4. Is the extent to which a distribution is stretched or squeezed.
- 10. Represents an acceptable probability of a Type I error in a statistical test.
- 11. Tests whether you have a large enough sample size compared to the population.
- 13. The process of finding an approximate value of some parameter—such as the mean (average)—of a population from random samples of the population.
- 15. Refers to the probability of Type II error In a statistical hypothesis test.
- 16. Is a range of estimates for an unknown parameter.
- 17. An estimator is the difference between this estimator's expected value and the true value of the parameter being estimated.
- 18. Is any measured quantity of a statistical population that summarizes or describes an aspect of the population, such as a mean or a standard deviation.
- 19. Is any quantity computed from values in a sample which is considered for a statistical purpose.
Down
- 1. Is a set of similar items or events which is of interest for some question or experiment.
- 2. The sum of a collection of numbers divided by the count of numbers in the collection.
- 3. is a measure of the amount of variation or dispersion of a set of values.
- 5. A variable is a mathematical formalization of a quantity or object which depends on random events.
- 6. This is generally denoted by P, is a parameter that describes a percentage value associated with a population.
- 7. Is the degree of error in results received from random sampling surveys
- 8. Is a set of individuals or objects collected or selected from a statistical population by a defined procedure.
- 9. Is a type of statistical hypothesis that proposes that no statistical significance exists in a set of given observations.
- 12. Describes a typical value of a data point.
- 14. Hypothesis regarding a population parameter.