Across
- 4. When our P-value is less than the chosen significance level α.
- 6. (Sx)(sqrt(n)) where Sx is the sample standard deviation. It describes how far mean x will be from µ , on average, in repeated SRSs of size n.
- 8. An interval calculated from sample data, which has the general form estimate ± margin of error or, alternatively, statistic ± (critical value)(standard deviation of statistic). The critical value depends on both the confidence level C and the sampling distribution of the statistic.
- 11. The parameter is different from the null value (it could be either smaller or larger).
- 13. The specific value of a point estimator.
- 15. A parameter is larger than the null hypothesis value or if it states that the parameter is smaller than the null value.
- 17. An inference procedure is called robust if the probability calculations involved in that procedure remain fairly accurate when a condition for using the procedure is violated.
- 18. Tells how close the estimate tends to be to the unknown parameter in repeated random sampling.
- 20. Occurs if H0 is not rejected when H0 is false.
Down
- 1. ([p^](1-p^)/n). It describes how far p^ will be from p, on average, in repeated SRSs of size n.
- 2. Study designs that involve making two observations on the same individual, or one observation on each of two similar individuals.
- 3. Measures how far a sample statistic diverges from what we would expect if the null hypothesis H0 were true, in standardized units.
- 5. A statistic that provides an estimate of a population parameter.
- 7. The claim about the population that we are trying to find evidence FOR.
- 9. The number of values that can vary in a stats calculation
- 10. The success rate of the method that produces the confidence interval. In C% of all possible samples, the method would yield an interval that captures the true parameter value.
- 12. Occurs if H0 is rejected when H0 is true.
- 14. Assesses the evidence provided by data about some claim concerning a population.
- 16. When the standard deviation of a statistic is estimated from data, the result is the standard error of the statistic.
- 19. The probability that the test will reject H0 at a chosen significance level α when the specified alternative value of the parameter is true.
