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The article “Seismic Hazard in Greece Based on Different

Statistics for Engineers and Scientists | 4th Edition | ISBN: 9780073401331 | Authors: William Navidi ISBN: 9780073401331 38

Solution for problem 22SE Chapter 8

Statistics for Engineers and Scientists | 4th Edition

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Statistics for Engineers and Scientists | 4th Edition | ISBN: 9780073401331 | Authors: William Navidi

Statistics for Engineers and Scientists | 4th Edition

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Problem 22SE

The article “Seismic Hazard in Greece Based on Different Strong Ground Motion Parameters” (S. Koutrakis, G. Karakaisis, et al., Journal of Earthquake Engineering, 2002:75–109) presents a study of seismic events in Greece during the period 1978–1997. Of interest is the duration of “strong ground motion,” which is the length of time that the acceleration of the ground exceeds a specified value. For each event, measurements of the duration of strong ground motion were made at one or more locations. Table SE22 presents, for each of 121 such measurements, the data for the duration of time y (in seconds) that the ground acceleration exceeded twice the acceleration due to gravity, the magnitude m of the earthquake, the distance d (in km) of the measurement from the epicenter, and two indicators of the soil type s1 and s2, defined as follows: s1, = 1 if the soil consists of soft alluvial deposits, s1 = 0 otherwise, and s2 = 1 if the soil consists of tertiary or older rock, s2 = 0 otherwise. Cases where both s1 = 0 and s2 = 0 correspond to intermediate soil conditions. The article presents repeated measurements at some locations, which we have not included here.

Use the data in Table SE22 to construct a linear model to predict duration y from some or all of the variables m, d,s1, and s2. Be sure to consider transformations of the variables, as well as powers of and interactions between the independent variables. Describe the steps taken to construct your model. Plot the residuals versus the fitted values to verify that your model satisfies the necessary assumptions. In addition, note that the data is presented in chronological order, reading down the columns. Make a plot to determine whether time should be included as an independent variable.

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GEOL 207 Nitrogen Nitrogen Cycle NOx NO3- = Nitrate - Plants - HNO3 -- > Nitric Acid - Fully oxidized form of nitrogen - 7 Million tons - In atmosphere from N-Oxides - Salts (fairly rare) o KNO3 o NaNO3  Guano (fossilized bird/bat poop) - Fertilizers - Explosives o Oxygen in Nitrate o HNO2 -- > Nitrite NO2 -- > Nitrogen Dioxide - Brown gas o Smog - Combustion o Car engines - NO -- > Nitrogen oxide or nitrogen monoxide - Colorless gas NH3 -- > ammonia NH4 -- > ammonium Organic Nitrogen - Amino acids - Protein - Urea N2O -- > Nitrous Oxide - Laughing gas

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Chapter 8, Problem 22SE is Solved
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Textbook: Statistics for Engineers and Scientists
Edition: 4
Author: William Navidi
ISBN: 9780073401331

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