chap 3 (stats) Flashcards
what is raw data?
data that isn’t classified is called raw data
what is qualitative classification
when data is classified according to attribution characteristics (gender, literacy, etc.)
what is quantitative classification
classification of numerical data is called quantitative classification, (height, weight, age, etc)
give the meaning of class limit
the two ends of a class interval is called class limit
what is mid-point
mid-point is the middle value of the class limit
what is uni-variant and bi-variant frequency distribution
frequency distribution of a single variant in uni-variant and two variants is bi-variant
give the meaning of frequency array
classification of discrete variables is called frequency array
what is time curve elate
when data is classified according to a time curve.
what is spacial classification ?
classification in reference to geographical location is called spacial classification
mention the types of variables
continuous variable
discrete variable
what’s the difference between inclusive and exclusive CI
exclusive - under this CI, the upper limit of the first class is equal to the lower limit of the next class
inclusive - the upper limit is included in the class interval
what are the types of classification of data ?
- quantitative classification
- qualitative classification
- spacial classification
- chronological classification
what is frequency?
frequency refers to the number of time the observation has occurred in the given raw data.
explain loss of information of classification of data
when data is classified and made precise, the individual raw data is not shown, we lose the details of the raw data. when the data is grouped into class intervals there is no need for the individual observations, tho much is gained from simplifying the data, there is loss of information. ( give eg)
what’s the difference between continuous variable and discrete variable
continuous - it may take any numerical value, it is not exact and take individual value fractions. eg. if a boys height grows from 100cm-150cm we take values 100-150
discrete - it may take any certain value, the values only change with finite jumps and are exact. eg- the number of girls in a class is a whole value.
