Introductory to Applied Statistics
Introductory to Applied Statistics STA 215
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This 2 page Class Notes was uploaded by Angela Meador on Sunday October 16, 2016. The Class Notes belongs to STA 215 at Grand Valley State University taught by Robert H. Pearson in Fall 2016. Since its upload, it has received 3 views. For similar materials see Introductory Applied Statistics in Statistics at Grand Valley State University.
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Date Created: 10/16/16
Histogram Divide data o Equal width o No overlapping Bar chart o Skew pulls direction of mean o Symmetric Numeric Summary Center, spread, and location Greek letters for population Roman letters for statistics 1. Mean µ= population mean x bar= sanple mean o ∑ Xi all over n= sample mean k=0 2. Mean vs. Median a. Mean used the most b. N is small when outliers occur c. Use median, mean is too affected Spread 1. Range (MaxMin) a. Sensitive to outliers 2. IQR a. Not sensitive to outliers Variability XiX bar 1. Find mean 2. Calculate deviations 3. Square deviations 4. Sum the square 5. Divide sum by n 3.Sample Variance ❑ 2 ∑ (i−Xbar ) S = ❑ n−1 4.Standard Deviation (take square root of both sides) Measures variability Amount the value deviates from the mean Xi, XiXbar, (XiXbar) ^2 Center= mean Variability Standard deviation Shape= modal or bimodal Measures Location Zscores= valuemean/SD = Xiµ/ σ Percentiles Px= X percentile Px≥ x% of all values Px≤x% of all values