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QMP Vocab Week #1
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QMP Vocab Week #1
Term  Definition 

Hypothesis  statement of the relationship among variables, not a question 
Operational definition  exactly how to measure the variable 
Collect Data  results of an experiment in numbers, needs to be usable 
Analyze results  getting the numbers through formulas 
Interpret results  the meaning, relating back to hypothesis 
Share results  publish or make public knowledge your findings 
Statistics  a set of tools concerned with the collection, organization, and analysis of data, has two branches: descriptive and inferential 
Data  the numbers 
Descriptive  describes data, ex. class average 
Inferential  to make inferences of the data, ex. our class average is all class averages on campus 
Variable  anything that can take on different values or amounts, two types: independent and dependent 
Independent  the researcher manipulates, control or experimental group, used to group people 
Dependent  measurement of behavior, effect not cause 
Correlation  relationship between two variables 
population  complete collection of anything, regardless of size of collection 
sample  subset of population, measured to talk about populations, goal to be unbiased 
mean  mew 
number of anything  N 
parameters  numerical summary characteristics of population, can measure about a populations 
statistics  numerical summary characteristics of a sample 
mean of sample   over x 
scaling  the assigning of numbers to objects or events 
4 scales of measurements  nominal scale, ordinal scale, interval scale, ratio scale 
nominal scale  assigns a name or label to objects or events, can be #'s, ex. barcodes 
ordinal scale  objects or events in rank order, just rank alone, not equality, ex. favorite bands 
interval scale  equal intervals between number, ranks are equal, ex. degrees f to c 
ratio scale  zero means absence of measurements, true zero, ex. height 
Frequency Distribution  creating a table of the data that shows the number of times a given group of scores occurs, construction varies, all have x and f columns, 
x  variable 
f  frequency 
cf  cumulative frequency 
cumulative frequency  number of times a value occurs up to and including that frequency 
rf  relative frequency 
relative frequency  the proportion of people on each row, always adds to one 
percentage  rf x 100 
crf  cumulative relative frequency 
cumulative relative frequency  rf up to and including all values, add to one 
c%  crf x 100, % of people up to and including any score level 
results of frequency distribution  lost almost all richness, organized 
graphing  must label axis, y axis should be 3/4 that of x axis, y axis should use full range, always start y axis at zero 
histogram  bars touch, good with graphed frequency distribution 
line graph  connect the points 
Created by:
stophammertime1290