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Lecture

SOAN 2120 Lecture Notes - Central Tendency, Squared Deviations From The Mean, Decimal Mark

Department
Sociology and Anthropology
Course Code
SOAN 2120
Professor
David Walters

This preview shows half of the first page. to view the full 3 pages of the document. September 25, 2012
Standards Deviants
- measure of central tendency
- measures of dispersion
- population versus sample
- z-scores and probability
Video
Statistics language test simple math relationship b/w terms
- Taking a portion out of that data and studying it
- Small groups tell us about big groups
- How to make sense of data
Statistical Problems
- exists when something is unknown about a population
- a population is the group you are interested in learning about
o population can be animate or inanimate it’s just a group
o large group you gather the data from
- inferences drawing conclusions from a piece of data
- sample randomly selected portion of the population
- step 1 Identify question being asked
- step 2 Determine design of experiment (use whole population or sample?)
- step 3 establish a method to collect and Analyze data
o data set
- step 4 choose a procedure for making Inferences
- step 5 see how Reliable your inferences are (test accuracy)
- “IDAIR” – identify, determine, analyze, inference, reliable
Graphical Display
- relative frequency histogram
o divides the data into intervals/classes
o put data into those classes
o box-like display of data
o classes, class width, class boundaries, class frequency, class relative
frequency etc.
o knowing the range = how many classes to use
too few classes = not good. Values very different in size are
limped together and then the histogram is too big
too many classes = most empty, histogram becomes misleading
o class width how wide classes are --- divide range by the number of
classes we want if it’s not a whole number, round up
all classes need to be of equal width
class boundaries where class starts and ends
- distribution curve
o essentially the same as histogram
o bigger data sets, looks like a bell
- class relative frequency = number of measurements in a class divided by total
number of measurements
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