Publications by Shariq Mian
Data606_Lab7
Getting Started Load packages In this lab, we will explore and visualize the data using the tidyverse suite of packages, and perform statistical inference using infer. The data can be found in the companion package for OpenIntro resources, openintro. Let’s load the packages. library(tidyverse) library(openintro) library(infer) The data Ever...
7040 sym R (7450 sym/69 pcs) 3 img
Data606_Lab52
If you have access to data on an entire population, say the opinion of every adult in the United States on whether or not they think climate change is affecting their local community, it’s straightforward to answer questions like, “What percent of US adults think climate change is affecting their local community?”. Similarly, if you had dem...
11680 sym R (1453 sym/12 pcs) 1 img 1 tbl
Data606_HW51
In this lab, you will investigate the ways in which the statistics from a random sample of data can serve as point estimates for population parameters. We’re interested in formulating a sampling distribution of our estimate in order to learn about the properties of the estimate, such as its distribution. Setting a seed: We will take some rando...
12778 sym R (3494 sym/19 pcs) 3 img
Document
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within t...
604 sym R (1552 sym/12 pcs) 1 img
Data606_HW5
Heights of adults. (7.7, p. 260) Researchers studying anthropometry collected body girth measurements and skeletal diameter measurements, as well as age, weight, height and gender, for 507 physically active individuals. The histogram below shows the sample distribution of heights in centimeters. What is the point estimate for the average height...
7919 sym R (926 sym/35 pcs) 5 img
Data606_Lab4
In this lab, you’ll investigate the probability distribution that is most central to statistics: the normal distribution. If you are confident that your data are nearly normal, that opens the door to many powerful statistical methods. Here we’ll use the graphical tools of R to assess the normality of our data and also learn how to generate ra...
9979 sym R (2030 sym/27 pcs) 11 img
Data_606_HW4
library(ggplot2) library(qqplotr) ## ## Attaching package: 'qqplotr' ## The following objects are masked from 'package:ggplot2': ## ## stat_qq_line, StatQqLine Area under the curve, Part I. (4.1, p. 142) What percent of a standard normal distribution \(N(\mu=0, \sigma=1)\) is found in each region? Be sure to draw a graph. \(Z < -1.35\...
5776 sym R (2140 sym/51 pcs) 6 img
Data607_HW3
library(tidyverse) ## -- Attaching packages --------------------------------------- tidyverse 1.3.1 -- ## v ggplot2 3.3.5 v purrr 0.3.4 ## v tibble 3.1.4 v dplyr 1.0.7 ## v tidyr 1.1.3 v stringr 1.4.0 ## v readr 2.0.1 v forcats 0.5.1 ## -- Conflicts ------------------------------------------ tidyverse_conflicts() -- #...
1842 sym R (3908 sym/33 pcs)
Data606_HW2
Stats scores. (2.33, p. 78) Below are the final exam scores of twenty introductory statistics students. 57, 66, 69, 71, 72, 73, 74, 77, 78, 78, 79, 79, 81, 81, 82, 83, 83, 88, 89, 94 Create a box plot of the distribution of these scores. The five number summary provided below may be useful. hist(scores , breaks=20 , border=F , col='blue' , xlab=...
4218 sym R (2433 sym/11 pcs) 9 img
Data606_Lab1
The RStudio Interface The goal of this lab is to introduce you to R and RStudio, which you’ll be using throughout the course both to learn the statistical concepts discussed in the course and to analyze real data and come to informed conclusions. To clarify which is which: R is the name of the programming language itself and RStudio is a conven...
17881 sym R (7638 sym/48 pcs) 8 img