Term

Definition
Tendency to favor the selection of certain sample elements or events over other sample elements or events 


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Each and every element in the population must have an equal and independent chance of selection. 


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The entire collection of all observations of interest to the researcher 


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Representative portion of the population selected for study 


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Difference between the sample mean and the population mean 


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Any descriptive measure of the entire population. 


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Any descriptive measure of the sample 


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The tendency of the distribution to fall close to a central point or middle point. Examples include arithmetic mean, median, and mode. 


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Definition


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Definition


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The value that occurs most often 


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Range, Average Deviation, Variance, Standard Deviation, Percentiles, Quartiles, Deciles, 


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Difference between high and low values 


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Difference between the mean and each of the individual values in the data set. Always zero. First step in determining the variance. 


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The mean of the squared deviations around the mean. Only calculated so we can determine standard deviation. 


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Square root of the variance. Most important. 


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divides the data set into 100 equal pieces 


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divides the data set into 4 equal pieces 


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InterQuartile Range the middle fiftypercent of the data set. Difference between the 25th and 75th percentile value 


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Divides data set into 10 equal pieces. 


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Characteristic of the population or sample that is being examined in the statistical study 


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Expressed Numerically  weights, heights, age, etc. 


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Quantitative Variable where values can take on a range of values (usually not whole numbers) 


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Quantitative Variable that is generally expressed in whole numbers. 


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Expressed Nonnumerically like gender or religious preference. 


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data set that is unorganized. 


Term
Grouped (Frequency Distribution) Data Set 

Definition
Data set that is sorted and grouped into classes 


Term

Definition
Section of a Grouped(Frequency Distribution) Data Set 


Term
Determine Number of Classes 

Definition
2^C >= N where C is number of classes and N is the number of population observations. 'N' would be 'n' in a sample data set 


Term

Definition
CI = (Largest Value  Smallest Value)/Number of Classes. You have some leeway here 


Term

Definition
Lowest Value of Class + Highest Value of Class divided by 2 

