Warm-Up: Fill in the blanks Confidence Interval Margin of error Sampling Variability Population Samples point estimate + margin of error Statistical Inference Sampling distribution Point Estimate 1. A way of describing the confidence interval is using 2. determines how "wrong" your sample might be, relative to the entire population. 3. is the "best guess" or "best estimate" of an unknown population parameter. Usually the mean. 4. A is a range of values we are fairly sure our "typical" results lie in. 6. of a given statistic for a given sample size is the distribution found by calculating that statistic using every possible sample of the given size. 7. Use to make inferences about the they are really interested in getting information about. 9. Using samples to draw information about populations is called 10. is the range of values above and below the point estimate