Publications by Habib Khan

Data 605 - Final Examination

23.05.2020

library(knitr) library(pracma) library(kableExtra) library(tidyr) library(ggplot2) library(data.table) library(DT) library(psych) library(scales) library(corrplot) library(dplyr) library(stringr) library(matrixcalc) library(MASS) Problem 1 1.1 Random variables Using R, generate a random variable X that has 10,000 random uniform num...

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Data 605 - Week 15 Discussion

18.05.2020

knitr::include_graphics('15_d.png') ...

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Data 605 - Assignment 15

18.05.2020

Assignment 15 1 x <- c(5.6, 6.3, 7, 7.7, 8.4) y <- c(8.8, 12.4, 14.8, 18.2, 20.8) # regression ans1 <- lm(y ~ x) summary(ans1) ## ## Call: ## lm(formula = y ~ x) ## ## Residuals: ## 1 2 3 4 5 ## -0.24 0.38 -0.20 0.22 -0.16 ## ## Coefficients: ## Estimate Std. Error t value Pr(>|t|) ## (In...

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Data 605 - Assignment 14

11.05.2020

Assignment 14 knitr::include_graphics('14.png') Problem 1 library(pracma) eq <- function(x) {1/(1-x)} prob1 <- taylor(eq, x0=0, n=4) prob1 ## [1] 1.000029 1.000003 1.000000 1.000000 1.000000 Problem 2 eq2 <- function(x) {exp(x)} prob2 <- taylor(eq2, x0=0, n=4) prob2 ## [1] 0.04166657 0.16666673 0.50000000 1.00000000 1.00000000 Problem 3 e...

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Data 605 - Week 13 Discussion2

04.05.2020

Problem 7.6 Find the volume of y = 5x from 1 to 2, rotated around the x axis I found it easier to calculate using R library(stats) step1 <- function(x){5 * x} step2 <- function(x){pi * step1(x)^2} integrate(step2,1,2) ## 183.2596 with absolute error < 2e-12 ...

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Data 605 - Week 13 Discussion

27.04.2020

Week 13 Discussion - Multiple Regression using R Using R, build a multiple regression model for data that interests you. Include in this model at least one quadratic term, one dichotomous term, and one dichotomous vs. quantitative interaction term. Interpret all coefficients. Conduct residual analysis. Was the linear model appropriate? Why or wh...

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Data 605 - Assignment 12

26.04.2020

Week 13 Assignment - Multiple Regression in R # Loading the data data <- read.csv("who.csv", header = TRUE) glimpse(data) ## Observations: 190 ## Variables: 10 ## $ Country <fct> Afghanistan, Albania, Algeria, Andorra, Angola,... ## $ LifeExp <int> 42, 71, 71, 82, 41, 73, 75, 69, 82, 80, 64, 74,... ## $ InfantSurvival <dbl> ...

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Data 605 - Week 12 Discussion

20.04.2020

Introduction The dataset has been taken from Kaggle’s famous Titanic dataset where I will going to see linear regression between age and fare ticket. I want to see if a passenger’s age had any relationship with the affordability of fare. library(tidyr) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from...

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Data 605 - Week 10 Discussion

06.04.2020

knitr::include_graphics('10.1.png') # Calculating N Q <- matrix(c(0, 0.5, 0.25, 0.5), ncol=2, byrow= T) I <- diag(2) IQ <- I - Q N <- solve(IQ) print(N) ## [,1] [,2] ## [1,] 1.3333333 1.333333 ## [2,] 0.6666667 2.666667 The expected number of nice days and snowy days before rain starts are 0.6667 and 2.667 respectively. #...

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Data 605 - Week 9 Discussion

30.03.2020

Problem 10 from Page 339 Find the probability that among 10,000 random digits the digit 3 appears not more than 931 times. times <- 931 random <- 10000 prob <- 1/10 mu <- random*prob a_sq <- (random*prob)*(1-prob) a <- sqrt(a_sq) answer <- (times-mu)/a pnorm(answer)*100 ## [1] 1.072411 Probability that among 10,000 random digits the dig...

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