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Basic Concepts
Being "Mean"
Statistical Terms
Measures of Location
Measures of Variability
100
This scale of measurement is non-numeric, but contains information about rank or order
What is ordinal
100
The greek letter mu denotes this type of mean.
What is the population mean
100
These statistics provide a statistic as definitive, when it is totally unrelated to the argument
What are semi-attached statistics
100
This measurement provides a numerical value whereby half of the observations lie below it, and half lie above it
What is the median
100
Measures of variability are also called measures of this.
What is dispersion
200
These types of variables measure only on the nominative or ordinal scales
What are qualitative variables
200
This type of distribution has extreme low and extreme high values
What is a bi-polar distribution
200
This type of data is collected over several time periods
What is time-series data
200
This represents that value that occurs in the data set with the greatest frequency
What is the mode
200
The inter-quartile range examines the data contained between these two quartiles
What is the first and the third
300
The goal of this type of statistics is to infer something about the population by looking at the sample
What is inferential statistics
300
If your data set contains extreme values, you can remove those values by using this type of mean
What is a trimmed mean
300
Tabular, graphic, and numerical methods used to summarize data
What is descriptive statistics
300
Data sets with more than 2 modes are called this.
What is multi-modal
300
This represents the average deviation about the mean
What is the standard deviation
400
Frequency distributions, bar charts, pie charts, and relative frequency distributions are all graphical representations of this type of data.
What is qualitative data
400
X-bar (the sample mean) is this type of estimator of the population mean
What is a point-estimator
400
These types of variables measure only on the interval or ratio scales
What are quantitative variables
400
Percentiles and quartiles are often called measures of this type of location
What is non-central
400
This measure of the variation about the mean comes in handy especially when comparing variables that may have different units of measurement
What is the coefficient of variation
500
This paradox considers that conclusions made from aggregated data may not match conclusions made from dis-aggregated data
What is Simpson's Paradox
500
True or False: It is impossible to calculate the mean of a frequency distribution
False! Why?
500
Histograms summarize this type of data
What is quantitative data
500
The second quartile will have the same value as this for the data-set
What is the median. Why?
500
A coefficient of variation greater than this is said to have a high level of variation.
What is 100%