Publications by Enid Roman
DATA 621 – Business Analytics and Data Mining - HW 2
Overview In this homework assignment, you will work through various classification metrics. You will be asked to create functions in R to carry out the various calculations. You will also investigate some functions in packages that will let you obtain the equivalent results. Finally, you will create graphical output that also can be used to e...
5720 sym R (9739 sym/57 pcs) 2 img
Data 608 - Story - 3 : Do stricter gun laws reduce firearm gun deaths?
Story -3 : Do stricter gun laws reduce firearm gun deaths? The CDC publishes firearm mortality for each State per 100,000 persons https://www.cdc.gov/nchs/pressroom/sosmap/firearm_mortality/firearm.htm. Each State’ firearm control laws can be categorized as very strict to very lax. The purpose of this Story is to answer the question, ” Do ...
2502 sym Python (35074 sym/31 pcs)
Data_621_L_M_R_Chapt_3_Exercise
3.4 Using the sat data: ### (a) Fit a model with total sat score as the response and expend, ratio and salary as predictors. Test the hypothesis that βsalary = 0. Test the hypothesis that βsalary = βratio = βexpend = 0. Do any of these predictors have an effect on the response? library(faraway) ## Warning: package 'faraway' was built under ...
1720 sym R (2652 sym/18 pcs)
ERoman_Final_Exam_Part_2
House Prices - Advanced Regression Techniques You are to register for Kaggle.com (free) and compete in the House Prices: Advanced Regression Techniques competition. https://www.kaggle.com/c/house-prices-advanced-regression-techniques . I want you to do the following. Descriptive and Inferential Statistics. Provide univariate descriptive statisti...
25968 sym R (88488 sym/161 pcs) 12 img
605_Data_ERoman_Final_Exam_Part_1
Computational Mathematics Your final is due by the end of the last week of class. You should post your solutions to your GitHub account or RPubs. You are also expected to make a short presentation via YouTube and post that recording to the board. This project will show off your ability to understand the elements of the class. Problem 1. Probab...
10932 sym
Data_605_ERoman_HW14
This week, we’ll work out some Taylor Series expansions of popular functions. • f (x) = (1−x) • f (x) = ex • f (x) = ln(1 + x) • f(x)=x(1/2) For each function, only consider its valid ranges as indicated in the notes when you are computing the Taylor Series expansion. Please submit your assignment as an R- Markdown document. \(f(x)...
1571 sym
Data_605_ERoman_Discussion14
Page 496 Exercises 8.8 In Exercises 21 – 24, write out the first 5 terms of the Binomial series with the given k-value. k = 1/2 The binomial coefficient formula for non-integer values of k is given by: C(k,r) = k(k-1)(k-2)…(k-r+1)/(r!) If k=1/2, then the first five terms of the Binomial series are: (1+x)^(1/2) = C(1/2,0) + C(1/2,1)x + C(1/2...
1921 sym
Data_605_ERoman_HW13
Use integration by substitution to solve the integral below. ∫4e^−7xdx Take the constant out: ∫a · f(x) dx = a · ∫f(x) dx = 4 · ∫ e ^-7x dx Apply u- substitution = 4 · ∫ − 1/7e^u du Take the constant out: ∫a · f(x) dx = a · ∫f(x) dx = 4(-1/7 · ∫ e^u du) Use the common integral: ∫ e^u du = e^u = 4(-1/7e^u) Substitute ba...
3045 sym 1 img
DATA 605 ERoman_Discussion13
Page 179 4.2 Water flows onto a flat surface at a rate of 5cm3/s forming a circular puddle 10mm deep. How fast is the radius growingwhen the radius is: 1 cm? ans <- function(r){ 50/(2 * pi * r) } ans(1) ## [1] 7.957747 10 cm? ans <- function(r){ 50/(2 * pi * r) } ans(10) ## [1] 0.7957747 100 cm? ans <- function(r){ 50/(2 * p...
192 sym
Data_605_ERoman_HW12
# Load the packages needed library(ggplot2) ## Warning: package 'ggplot2' was built under R version 4.2.2 library(dplyr) ## Warning: package 'dplyr' was built under R version 4.2.2 ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:...
8464 sym R (5778 sym/31 pcs) 6 img