# BSNS102 1

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

### Card Set Information

 Author: Anonymous ID: 90013 Filename: BSNS102 1 Updated: 2011-06-10 06:31:17 Tags: Statistics Folders: Description: Statistics, Descriptive Statistics, Numerical Measures, Shape Show Answers:

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