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13 Cards in this Set
- Front
- Back
Range v Interquartile Range (IQR)
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Range: Max-Min
IQR: Q3-Q1 |
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Advantages of IQR and Range
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1.Simple to compute
2. IQR not sensitive to outliers |
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Disadvantages of Range and IQR
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1.Don't involve actual values of all data points
2.not commonly used 3.have complex theoretical properties 4. Range is sensitive to outliers 5. As n increases range becomes less precise |
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Computing Std. Dev
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1. Measure center as reference point(usu.mean over median)
2. Compute distances from data points to a reference point(x-x bar or mean) 3.Select a representative deviation |
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Further on std.dev
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1. Average of deviation are always zero.(see last mem card)
2.Deviations to the left of mean are negaative 3. See formula for Std.Dev |
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Steps for calculating std.dev by hand
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find x minus mean for each value and square all values.add them up and divide by n minus 1.take square root of ans and u hav it!
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Properties of STD.DEV
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1.Measures spread around mean (use 's' only when mean is the appropriate center)
2. it is either zero or positive. (s=0 data dont vary) 3.Unit is same as that of observations 4.inflated by outliers |
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Diff b/w std.dev and variance
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Variance: s2:this is average squared deviation from mean.
Std.Dev: s: square root of variance |
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Population vs Sample (notation for std.dev)
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Population:
sigma, meu, N Sample: S,x bar,n-1 |
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Why divide by n-1?
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1. establish important theoretical properties for inference
2.to make sample variance (S2)an unbiased estimate of population variance(sigma2) |
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Advantages and Disadvantages of Std.Dev
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ADVANTAGES:
1.Commonly used 2.Deiations from every point unlike range and IQR 3.Good theoretical properties DISADVANTAGES Inflated by outliers/skewness |
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Median & IQR (Vs) Mean & Std.Dev
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Median & IQR for skewed dis/outliers. (Mean and std.dev affected by outliers/skewed
Symmetrical Dist use mean and std.dev |
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Rule of thumb
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Std.Dev is usually less than one fourth of the range
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