CORRECT100%
Population - ANSWERSet of all elements about which you wish to draw conclusions
Sample - ANSWERSubset of the elements of a population
Sampling distribution of the sample mean (x) - ANSWERPossibility distribution of the
sample means obtainable from all possible samples of size n from a population of
size N
Normal curve - ANSWERMany situations, distribution of all possible sample means
looks roughly like this
The mean of all possible sample means is equal to - ANSWERFormula on slides
The standard deviation of all possible sample means is less than - ANSWERFormula
on slides
Population parameter - ANSWERNumber calculated from all the population
measurements that describes some aspect of the population
Sample statistic - ANSWERNumber calculated using the sample measurements that
describes some aspect of the sample
Sampling error - ANSWERDifference between the sample statistic and population
parameter
Also called variation
Interval Estimator (confidence interval) - ANSWERFormula that tells us how to use
the sample data to calculate an interval that estimates the target parameter
(Sample mean) + or - (Margin of error)
Variance in the population - ANSWERLower variance in the population -> smaller
(narrower) confidence interval
Sample Size - ANSWERLarger sample size -> Smaller (narrower) confidence
interval
Confidence Level - ANSWERPercentage (ex: 0.95) of how confident we are that the
CI contains the population mean