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BSNS102 1
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Types of data :
Quantitative
Qualitative
Quantitative data is:
Numerical eg. age:measured in years
Qualitative data is:
Grouped/ Categorical eg. Preferred accomodation type (Budget, Tourist, Superior)
Categorical data (Qualitative) is:
Nominal (name or number given to a category as a label)
Ordinal (name or number implies ranking)
Numerical data (Quantitative) is:
Discrete (whole or counting numbers)
Continuous (infinite number of values eg. Age, Income)
A population is the :
Whole collection
of things under consideration
A sample is a:
Portion
of the poplulation selected for analysis
A parameter is a:
Summary measure
that describes the characteristic of the population
A statisitic is a:
Summary measure
computed that describes a characteristic of a
sample
.
Sources of data:
Primary data
Secondary data
Census
Experimental data
Surveys
Non sampling errors:
Coverage error
Non response error
Measurement error
Sampling error:
Chance differs from sample to sample
Measures of central tendancy:
Mean (Average)
Median (Middle value)
Mode
Trimmed Mean (cuts out extreme 5%)
Measures of spread:
Range (Max - Min)
Interquartile range (middle 50%)
Varience (std dev around the mean)
Std Deviation (square root of the varience)
Measures of shape: Skewness
Symmetric distribution (median = mean)
Right skewed (Tail to the right)
Left skewed (Tail to the left)
Measures of shape: Kurtosis
Positive Kurtosis
: Data clusters more and have longer tails
Negative Kurtosis
: Data is less clustered and has shorter/ fatter tails
Box and whisker plots:
Box (shows interquartile range)
Line (median)
Whiskers (highest and lowest value)
Outliers
Extreme outliers
Author
Anonymous
ID
90013
Card Set
BSNS102 1
Description
Statistics, Descriptive Statistics, Numerical Measures, Shape
Updated
2011-06-10T06:31:17Z
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