Publications by Rabby
STA_111_Fall_2023_Lab_2
Goal This lab will explore how statistical computing can help us answer questions using data. Last week, we discussed different statistical measures like IQR, standard deviation, and variance. We also learned how to plot box plots, histograms, and scatter plots. We will apply these measures and plots in this lab to examine numerical data. This ...
21839 sym R (497 sym/13 pcs)
STA_111_Fall_2023
Goal Today we are going to be exploring the foundations of coding in R. As we move through this course, you will get experience with different things that R can do. For today, we want to start getting familiar with the set up and how to run codes using R. Note: This lab assumes that you have already installed the software and gone through the R...
9747 sym
STA_111_Fall_2023
Goal Today we are going to be exploring the foundations of coding in R. As we move through this course, you will get experience with different things that R can do. For today, we want to start getting familiar with the set up and how to run codes using R. Note: This lab assumes that you have already installed the software and gone through the R...
9747 sym
STA_111_Fall_2023_Lab Instruction
Goal Today we are going to be exploring the foundations of coding in R. As we move through this course, you will get experience with different things that R can do. For today, we want to start getting familiar with the set up and how to run codes using R. Note: This lab assumes that you have already installed the software and gone through the R...
9747 sym
Understanding regression output from software
Uploading the Data In this example we are going to use the score and hour of study data that we created for our class. We have to upload it first and it was saved as a csv file. Data= read.csv("C:/STAT 111/Example Data/Data.csv") Data ## Student Sc Hr Prediction e ## 1 1 100 6 8.0487 -2.0487 ## 2 2 20 1 0.0...
613 sym 2 img
STA 111 Lab 2 (Wake Forest University, Department of Statistical Sciences
Goal This lab will explore how statistical computing can help us answer questions using data. Last week, we discussed different statistical measures like IQR, standard deviation, and variance. We also learned how to plot box plots, histograms, and scatter plots. We will apply these measures and plots in this lab to examine numerical data. Thi...
18801 sym R (398 sym/9 pcs)