Publications by Winelyn Pelias

STAT 56 - FINAL EXAM

25.05.2023

1. Describe two (2) research scenarios where cluster analysis may be used as the data analysis strategy. A company wants to launch a new product, and it first needs to identify its target market. By conducting a cluster analysis on its customer data (considering variables such as age, income, past purchasing behavior, geographical location, et...

6263 sym

STAT 54 - FINAL EXAM

25.05.2023

1. A researcher conducts a study to evaluate whether the distribution of the length of time it takes migraine patients to respond to a 100 mg. dose of an intravenously administered drug is normal, with a mean response time of 90 seconds and a standard deviation of 35 seconds (i.e., μ = 90 and σ = 35). The amount of time (in seconds) that ela...

9106 sym 8 img

Canonical Correlation Analysis

13.05.2023

CANONICAL CORRELATION ANALYSIS Example of canonical correlation analysis: A researcher has collected data on three psychological variables, four academic variables (standardized test scores) and gender for 600 college freshman. She is interested in how the set of psychological variables relates to the academic variables and gender. In particular...

6812 sym 3 img

Multivariate Analysis of Variance (MANOVA)

08.05.2023

MANOVA in R: Implementation As with most of the things in R, performing a MANOVA statistical test boils down to a single function call. But we’ll need a dataset first. The Iris dataset is well-known among the data science crowd, and it is built into R: It doesn’t matter if you use the same dataset as us, as long as one critical condition i...

4037 sym 2 img

Friedman Test in R

28.04.2023

Friedman Test in R Data Preparation We’ll use the self esteem score dataset measured over three time points. The data is available in the datarium package. Gather columns t1, t2 and t3 into long format. Convert id and time variables into factor (or grouping) variables: Summary Statistics Compute some summary statistics of the self-esteem...

2370 sym 2 img

Discriminant Analysis

28.04.2023

Cluster Analysis in R Getting Data mydata <- read.csv("D:/Stat 56/Data.txt", header=T) str(mydata) 'data.frame': 22 obs. of 9 variables: $ Company : chr "Arizona " "Boston " "Central " "Commonwealth" ... $ Fixed_charge: num 1.06 0.89 1.43 1.02 1.49 1.32 1.22 1.1 1.34 1.12 ... $ RoR : num 9.2 10.3 15.4 11.2 8.8 13.5 12.2 9....

3052 sym 13 img

Cluster Analysis

25.04.2023

Data Preparation The built-in R dataset USArrests is used: Murder Assault UrbanPop Rape Alabama 1.24256408 0.7828393 -0.5209066 -0.003416473 Alaska 0.50786248 1.1068225 -1.2117642 2.484202941 Arizona 0.07163341 1.4788032 0.9989801 1.042878388 Arkansas 0.23234938 0.2308680 -1.0735927 -0.184916602 Califo...

695 sym 9 img

Midterm Exam - Part 2

23.04.2023

DATA 1. What is the socio- demographic profile of the respondents in terms of: 1.1 Age 1.2 Sex 1.3 Number of years 1.4 Socio-economic status 2. What is the psychological well-being of the students raised by single parents in terms of: a. Autonomy b. Environmental Mastery c. Personal growth d. Positive relations e. Purpose in life f....

4000 sym

Midterm Exam - Stat56

22.04.2023

DATA 1. Provide the output of the standardized data (just the first 10 rows). 2. Provide the correlation matrix of the standardized data. top incisor bottom incisor top cannine bot cannine top premol top incisor 1.00000000 -0.07181198 0.6001764 0.7431854 0.5065222 bottom incisor -0.07181198 1.00000000 0.501983...

1657 sym 5 img

Additional Activity for Factor Analysis

21.04.2023

DATA Describing the Data We look at the dataset before we run any analysis. We use the dim function to retrieve the dimension of the dataset. [1] 329 10 Cleaning Data In our data frame, we have a V10 variable in the last column. So, we can use -10 in the column index to remove the last column and save our data to a new object. V1 V2 ...

1174 sym Python (3459 sym/10 pcs) 4 img