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An overview of basic statistics terms, including population and sample, measures of central tendency (mean, median, mode), measures of variability (range, sample variance, sample standard deviation), probability concepts (experiment, simple event, sample space), and the normal distribution. It covers definitions, examples, and key properties.
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Spring 09 Basic Statistics Terms Population - set of data that characterizes some phenomenon e.g. The weights of each 5-year-old in Idaho Sample - subset of data selected from a population e.g. The weights of 100 5-year-olds in Idaho Statistical inference - a decision, estimate, prediction, or generalization about the population based on information contained in a sample e.g. Estimation of the average weight of all 5-year-olds based on the sample
Mean - is the sum of the measurements divided by the number of measurements in a data set. The symbol is an x with a line over it. Median - is the middle number when the measurements in a data set are arranged in ascending or descending order. Mode - is the measurement that occurs most frequently in the data set. If median is less than the mean: several larger values skewed data to the right If median equals mean: symmetrical data set If median is greater than the mean, several smaller values skewed data to the left
Range - the largest measurement minus the smallest measurement. Sample Variance - for a sample of n measurements is equal to the sum of the squared distances from the mean divided by (n-1). The symbol is s^2. Sample Standard Deviation - The positive square root of the sample variance. The symbol is s.
Probability Terms Experiment - process of making an observation or taking a measurement. Simple event - most basic outcome of an experiment. Sample space - of an experiment is the collection of all its simple events. Two rules of assigning probabilities: