Publications by Justin Sia
Assignment Intermediate
1. Present the study design and aims (5%) Study Design - A cross-sectional investigation of house condistions in 506 suburbs in the Boston area was conducted to develop and validate a model for predicting housing prices. The current analysis aims to validate the prediction model. 2. Describe the characteristics of the study sample (5%) 2.1 Impo...
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Assignment 1
1. Present the study design, null and alternative hypotheses (5%) Study Design - A cross-sectional investigation of house conditions in 372 suburbs was conducted to determine whether the housing prices varied among houses with different numbers of rooms. Null Hypothesis - Housing prices does not vary among houses with differnt numbers of room...
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Lecture 5
1.1 Provide a brief description of the project - What is the study design? A cross-sectional invetigation of 397 professors was conducted to determine whether professors’ salaries differed among their ranks. ## - What is the null hypothesis? Salaires did not differ among professors’ ranks. - What is the alternative hypothesis? Salries differe...
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Lecture 4
1.1 Provide a brief description of the study in Task 1 - What is the study design? A cross-sectional investigation of 397 professors in the us to determine whether salaries differed between males and females. ### - What is the null hypothesis? There was no difference in salaries between male and female professors ### - What is the alternative hypo...
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Lecture 3
Library Needed library(ggplot2) ## Warning: package 'ggplot2' was built under R version 4.2.3 library(grid) library(gridExtra) ## Warning: package 'gridExtra' was built under R version 4.2.3 library(dplyr) ## Warning: package 'dplyr' was built under R version 4.2.3 ## ## Attaching package: 'dplyr' ## The following object is masked from 'package...
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Lecture 2
Task 1: Import the csv data set “Professorial Salaries” into R. Upload the dataset from your computer file = file.choose() salary = read.csv(file) Task 2: Examine the overall relationship between variables in the data set using “GGally” package. Interpret the graph. library(GGally) ## Loading required package: ggplot2 ## Registered S3 me...
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Lecture 1
#TRM-course Lecture 1 ## Task 4: Describe the salary data set: 4.1 How many participants/variables are there in the “salary” data set? library(carData) library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ re...
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