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Statitics Terms

Terms

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Ogive
A cumulative line graph best used to display the total at any given time
Deviation
The distance of the measurements away from the mean
Two standard deviations
Approximately 95% of the measurement
Nominal
A scale that measures data by name only (religious affiliation, etc.)
Interval
A scale that measures by using equal intervals (tempreture)
Variance
The sum of the squared deviations of n measurements from their mean divided by (n-1)
Negatively skewed
Tilts towards the right
Independent event
outcomes not affected by other outcomes (successive coin flips)
Modal Value
The most frequently reported category
Standard deviation
The positive square root of the variance
Mean Value
The average of all vaues
Positively skewed
Tilts towards the left
Multipication Rule
For the probability of 2 or more independent events all occurring multiply their probabilities
Ordinal
A scale that measures by rank order only (military rank, etc.)
Stem and Leaf
Shows the range of data, where the data are concentrated, and outliers.
Median Value
Half the results are above and half below
Addition rule
For mutually exclusive events, find the pr. of at least one of them occuring is obtained by adding their probabilities
Ratio
A scale that inclues a 0 measurement at which point the measured characteristic vanishes (yrs. of education, income)
Bimodal cuves
A curve with two high points
Qualitative date
numerical information about categories that vary significantly in kind (gender, religious affiliation, etc.)
One standard deviation
Approximately 68% of the measurement
Dependent events
Outcomes effected by other outcomes (removing cards from a deck)
Relative frequency theory of probability
If an experiment is repeated a large number of times and an outcome occurs a percentage of that time, that percentage is close to the prob. of that outcome
Relative frequency histogram
Compares each class interval to the total number of items
Probability
The chance of a particular outcome occurring is determined by the ratio of favorable outcomes (successes) to the total number of outcomes
Frequency Histogram
tells how many items are in each numerical category
Box plots
Displays a number of values of a distribution of numbers
Quantitative data
Can be measured in amounts (age, salary)
Scatterplot
displays information about the relationship involving two different phenomena such as days studied and score earned
Frequency distributions
used smooth curve to connect the points and is plotted on two axes. The horzional (x) are the values of a variable while the vertical (y) measures the frequency or how many times a particular value occurs)
Three standard deviations
Approximately all of the measurements
Range
The difference between the largest and smallest values

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