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