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Introductory to Applied Statistics

by: Angela Meador

Introductory to Applied Statistics STA 215

Marketplace > Grand Valley State University > Statistics > STA 215 > Introductory to Applied Statistics
Angela Meador

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About this Document

Important steps and vocab to this weeks notes
Introductory Applied Statistics
Robert H. Pearson
Class Notes
#introductorystatistics #stats #notes #easynotes, standard deviation process spread range percentiles quartiles interquartile range min Q1 median Q3 max center shape standard error of the mean confidence limits central limit theorem measures, mean, median
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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


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