Publications by Jiwon Ban
Power analysis (SEM)
# Load the semPower package library(semPower) ## Warning: package 'semPower' was built under R version 4.3.3 ## ## ### Welcome to semPower 2.1.1 ### ## ## See https://github.com/moshagen/semPower for quick examples. ## See https://moshagen.github.io/semPower/ for a detailed manual. ## ## Please cite as: ## Moshagen, M., & Bader, M. (2023). semPo...
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ADEC Week 4 Midterm
setwd("/Users/jiwonban/ADEC7301/Week 4") library(readxl) my.data <- read.csv("challenger-2.csv") Q1. Basic Data Analysis in R In 1986, the Challenger space shuttle exploded during “throttle up” due to catastrophic failure of o-rings (seals) around the rocket booster. The data (real) on all space shuttle launches prior to the Challenger disaste...
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ADEC7301 Week 7 Final
Question 1: Distribution of an individual score vs Sample Mean The distribution of the average IQ score is known to closely follow a Gaussian distribution with a mean centered directly at 100 and a population standard deviation of 16 (Stanford-Benet). Q1a: A single person is randomly selected for jury duty. What is the probability that this person...
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ADEC7301 Week 7 Discussion C
I. You will find this discussion useful for understanding OLS assumptions, and for your last Assignment. Please skim through chapter 8 of Open Statistics textbook, and pay attention to Gauss Markov Assumptionspart (Full Ideal Conditions of OLS / classical linear regression assumptions). Under these conditions OLS is BLUE.. You can even refer...
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ADEC7301 Week 7 Discussion D
I. LOGISTIC Please be sure you understand and are able to implement a logistic regression for your final. We saw it in class, but please take time to digest it. Logit.html You will find many readings online. https://seantrott.github.io/binary_classification_R/#logistic_regression_in_practice Find the balance between the breadth and the dep...
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ADEC7301 Week 6 HW
setwd("/Users/jiwonban/ADEC7301/Week 6") df <- read.csv("week 6 data-1.csv") The attached .csv file has data pertaining to hospital Expenditures (dependent variable). The column RVUs is a representation of standard outpatient workload (RVU is a measure of the time and intensity {skill, effort, judgement} required of a professional service and are...
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ADEC7301 Week 6 Discussion (Optional)
Using an API (Application Programming Interface) The data API provides programmatic access to BEA published economic statistics using industry-standard methods and procedures. BEA’s data API includes methods for retrieving a subset of our statistical data and the meta-data that describes it. Go top Bureau of Economic Analysis (BEA) Data Applicat...
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ADEC7301 Week 7 Discussion B
1. Pick any two quantitative variables from a data set that interests you. You can continue to use the dataset from your last discussion, or pick up a new dataset. ?CO2 CO2_df <- CO2 summary(CO2_df) ## Plant Type Treatment conc uptake ## Qn1 : 7 Quebec :42 nonchilled:42 Min. : 95 ...
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ADEC7301 Week 7 Discussion A
1. Do a few Google searches and tell us what is correlation (5 lines max). A correlation is indicative of the relationship between two variables; that is, a correlation coefficient tells us the extent to which and how variables move in relation to each other. The strength of a correlation statistic is expressed in a value ranging somewhere in bet...
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ADEC7301 Week 5 Homework
Homework 5, Data Analysis Resources : Please have a look at re-emphasizing the core concepts of CLT, standard error, hypothesis testing, confidence interval and p-values. Please skim through them (~15 minutes) before attempting the assignment to refresh your memories. Please find the Open Intro Statistics textbook (OpenStat_textbook.pdf) in our Dr...
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