Business Statistics Exam 2 Terms Flashcards
(35 cards)
A numerical value used as a summary measure for a population
Population Parameter
A numerical value used as a summary measure for a sample
Sample Statistic
A sample statistic used to estimate the corresponding population parameter
Point Estimator
A measure of central location computed by summing the data values and dividing by the number of observations
Mean
A measure of central location provided by the value in the middle when the data are arranged in ascending order
Median
A measure of location, defined as the value that occurs with greatest frequency
Mode
The mean obtained by assigning each observation a weight that reflects its importance
Weighted Mean
A measure of location that is calculated by finding the nth root of the product of n values
Geometric Mean
A measure of location that is calculated by removing a percentage of the smallest and largest values from a data set, then calculating the average of remaining values
Trimmed Mean
A value such that at least p percent of the observations are less than or equal to this value and at least (100 - p) percent of the observations are greater than or equal
percentile
The 25th, 50th, and 75th percentiles, which can be used to divide a data set into four parts, with each part containing approximately 25% of the data
Quartiles
A measure of variability, defined to be the largest value minus the smallest value
Range
A measure of variability, defined to be the difference between the third and first quartiles
Interquartile Range
A technique that used the smallest value, first quartile, median, third quartile, and largest value to summarize the data set
Five-number summar
A graphical summary of data based on a five=number summary
Boxplot
A measure of variability based on the squared deviations (differences) of the data values about the mean
Variance
A measure of variability computed by taking the positive square root of the variance
Standard Deviation
A measure of relative variability computed by dividing the standard deviation by the mean and multiplying by 100
Coefficient of Variation
A value computed by dividing the deviation (difference) of a data value from the mean by the standard deviation. Sometimes this is referred to as a Standard Score
Z-score
An unusually small or unusually large data value
Outlier
A measure of the shape of a data distribution
Skewness
A theorem that can be used to make statements about the proportion of data values that must be within a specified number of standard deviations of the mean
Chebyshev’s Theorem
A rule that can be used to compute the percentage of data values that must be within one, two, and three standard deviations of the mean for data that exhibit a bell-shaped distribution
Empirical Rule
A measure of linear association between two variables. Positive values indicate a positive relationship; negative values indicate a negative relationship
Covariance