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Sampling Error
The difference between a sample statistic and a population parameter that is DUE TO CHANCE. TERM 2
Random Sampling
DEFINITION 2 Selected in such a way that every unit has an equal chance of being selected, and the selection of any one unit in no way affects the selection of any other unit. In a random sample, all combinations are possible. TERM 3
Sampling Bias
DEFINITION 3 error that causes some members of the population to be less likely to be included than others. Due to built-in flaw. TERM 4
Sampling Frame
DEFINITION 4 A physical representation of the population; a listing of all the elements in a population. TERM 5
Sampling Distribution
DEFINITION 5 Distribution that departs from symmetry, in the sense that most of the cases are concentrated at one end of the distribution. Repeated samples that tell you how a statistic behaves
Standard Error
Standard deviation of a sampling distribution TERM 7
Sampling Distribution of Sample Means
DEFINITION 7 The result you would get if you took repeated samples from a given population, calculated the mean for each sample, and plotted the sample means. TERM 8
Mean of Sample Distribution of Sample Means
DEFINITION 8 Mu TERM 9
Standard Error of Mean
DEFINITION 9 The standard deviation of a sampling distribution of sample means. Standard deviation of sample (s) divided by the square root of sample size (n) TERM 10
Central Limit Theorem
DEFINITION 10 A statement about the relationship between a population and a sampling distribution based on that population: If repeated random samples the size of n are taken from a population with a mean or mu and a standard deviation, the sampling distribution of sample means will have a mean equal to mu and a standard error equal to sigma/ the square root of n. Moreover, as n increases the sampling distribution will approach a normal distribution
Level of Confidence
The amount of confidence that can be placed in an estimate derived from the construction of a confidence interval. Level of confidence is mathematically defined as 1 minus the level of significance. The level of confidence is a statement of the percentage of times (99%, 95%, etc.) one would obtain a correct confidence interval if one repeatedly constructed confidence intervals for repeated samples from the same population. TERM 17
Sigma Known
DEFINITION 17 Uses 'z' values. Sigma divided by square root of n= standard error of mean Central Limit Theorem TERM 18
Sigma Unknown
DEFINITION 18 More typical. Uses 't' distribution. Estimated sample standard deviation divided by square root of n. TERM 19
Degrees of Freedom
DEFINITION 19 n-1 look for the value that will produce wider interval
