Understanding Single Station Flood Frequency Analysis in Estimating Flood EventsFor the flow dataset (42-years of annual flow values) described earlier: (a) fit the normal distribution to thisdata set on a normal probability paper and show computations in a tabular form, (b) fit the log-normaldistribution to this data set on a log-normal probability paper and show computations in a tabular form, (c) forboth of the fitted distributions, compute the 90% confidence limits for the fitted probability curves and alsoshow computations in a tabular form.In each case as listed above predict the 100-year, 150-year, and 200-year floods and compare results and howcomparable are these results? AnalyseFor the English River with watershed area 6230 km'and located in Thunder Bay district ofNorthwestern Ontario, find the median and mode-class of the discrete flow dataset as summarizedbelow in the tableCompute statistical parameters (mean, variance, coefficients of skewness, kurtosis, variation, and thelag one correlation coefficient) for the discrete flow data set as summarized below in the table(c)Based on the assumption that the 42-year of flow data of the English River follow a normal probabilitydistribution (that is a theoretical distribution of flow being a continuous variable), compute the peakflow estimates the corresponding probability of occurrence of 0.2,0.1, and 0.01.887(d)YearFlow (m'/s) Year Flow (m'/s)19761977138199719981447969.4197816316470.7199913215219792001200219802241981198275200311296.220190.4223200419832005198419851182006171245200715419861862008175197198747.9200919882452010222185201184.4172198919901522012102201320141911991199222220119931402015235199410020161251995106201790.819962102018121

We have given 42-years of annual flow values. i X 1 47.9 2 69.4 3 70.7 4 75 5 79 6…

IUI Kver with watershed area 6230 kmdan Northwestern Ontario, find the median and mode-slass below in the table Compute statistical parameters (mean, variance, coeffie lag one correlation coefficient) for the discrete flow da Based on the assumption that the 42-year of flow data distribution (that is a theoretical distribution of flow be flow estimates the corresponding probability of occurme Year Flow (m/s) Year 1976 1977 138 79 1997 1998 1978 163 1999 1979 1980 1981 1982 1983 164 70.7 75 2001 2002 2003 2004 2005 112 96 2 118 245 2006 2007 2008 1984 1985 1986 1987 186 47.9 2009 1988 245 2010 1989 185 2011 2012 2013 2014 2015 2016 201 1990 152 1991 102 1992 222 1993 140 100 1994 1995 106 210 1996 201

IUI Kver with watershed area 6230 kmdan Northwestern Ontario, find the median and mode-slass below in the table Compute statistical parameters (mean, variance, coeffie lag one correlation coefficient) for the discrete flow da Based on the assumption that the 42-year of flow data distribution (that is a theoretical distribution of flow be flow estimates the corresponding probability of occurme Year Flow (m/s) Year 1976 1977 138 79 1997 1998 1978 163 1999 1979 1980 1981 1982 1983 164 70.7 75 2001 2002 2003 2004 2005 112 96 2 118 245 2006 2007 2008 1984 1985 1986 1987 186 47.9 2009 1988 245 2010 1989 185 2011 2012 2013 2014 2015 2016 201 1990 152 1991 102 1992 222 1993 140 100 1994 1995 106 210 1996 201

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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