Ch. 7: Descriptive Statistics Flashcards
Code (in quantitative Analysis)
A unique value assigned to each discrete category in a variable
Codebook
A List of codes and their meaning for each variable in a dataset
Data
Information
Dataset
A spreadsheet containing quantitative data
Descriptive Statistics
Information that is provided about each variable individually - for example, how values are distributed within a variable in a dataset
Frequency Distribution
Descriptive statistics that list the percentages for each doe or value contained in a variable, relative to the total number of observations in the dataset; usually the variable is one that has nominal measurement or has ordinal measurement with fewer than 5 categories
Maximum value
The highest number represented in a variable in a datset
Mean
Another word for average, which is the sum of all values of a variable divided by the # of observations
Minimum Value
The lowest number represented in a variable in a dataset
Mode
The value or specific code in the dataset that appears the most often relative to the other codes for the variable
Normally Distributed
A special type of distribution for a variable, in which 68% of the observations for the variable should fall within one standard deviation on either side of the variables mean (roughly 95% for two standard deviations and about 99% for 3 SD); this particular distribution is often referred to as the bell curve
Raw Data
Unaltered data in a spread sheet, it is often necessary to have codebook to understand what each numerical value in the dataset means
Skewed
A property in which a large number of observations disproportionately fall on one side of a given distribution of values so that the distribution is no longer symmetrical
Standard Deviation
A statistic that demonstrates the degree to which values in a variable are disperse around a variables mean
Summary Statistics
Descriptive Statistics in which specific information concerning a variable’s minium value, maximum value, mean, and the standard deviation is provided for variables with ordinal measurement when the number of categories in the variable is equal to or greater than five for variables with interval and ratio measurement