| Daemen
University Aplied Statistics I -- MTH 324
Course Description (from the College):
An introduction to descriptive and inferential statistics with emphasis on
applications in health sciences, marketing, finance, and political
science. Students will explore commonly used descriptive and inferential
statistical techniques; and learn how to apply these techniques using the
computer software R and interpret the corresponding results. Topics will
include: basic descriptive statistics, basic probability, sampling
distributions, inferential statistics, and parametric and non-parametric
tests of association.
Prerequisite: MTH 144, CSC201, and CSC212.
Syllabus/Syllabus -- in Word format
Final
Project Directions
Homeworks
Important Dates
Exam I Part 1/Part
2/Data -- Thursday, September 29th
key/practice exam
Exam II Part 1/Part 2/Data -- Thursday, November 10th
key/practice exam
Final Exam Part 1/Part 2/Data -- Tuesday, December 12th at 5:15 p.m.
key/final
supplement practice
see the syllabus for a more detailed
calendar
Email List
can be gotten through Blackboard
Announcements:
Math Adjunct Office
My voicemail
My Daemen email:
Office hours: see syllabus
MyOpenMath: Course ID: 181998,
Enrollment Key: mccall_324_fall_2023
Homeworks
Homework #1
Homework #2
Homework #3
Homework #4
Homework #5
Homework #6
Homework #7
Homework #8
Labs
(data files are in .xlsx format)
Instructions for Completing &
Submitting Labs
Lab #1 docx
pdf
Lab #2 docx
pdf
Data/Data
Lab #3 docx
pdf
Lab #4 docx
pdf
Lab #5 docx
pdf
Lab #6 docx
pdf
Lab #7 docx
pdf
Data
Lab #8 docx
pdf
Data
Lab #9 docx
pdf
Lab
#10 docx
pdf
Data
Lab #11 docx
pdf
Bonus Lab #1: Spatial Statistics docx
pdf
Bonus Lab #2: Quarto/Markdown
docx pdf
rendered page
Tutorial Directions
Journal Directions
R Cookbook Directions
Swirl Course R Programming
Swirl Course Statistical Inference
Lecture Notes
R Tutorials:
Bar Graphs (base
R)
Boxplot
(base R)
Dotplots
(base R)
Histogram
(base R)
Normal Distribution shaded between two values
(base R)
Normal Probability Plots
(base R)
Scatterplots with Trendlines and Residual Graphs
(base R)
Handouts:
Formulas
MLE exercise --
key
Maximum Likelihood Functions (pdf)
-- key
Which Test is This? (pdf)
Venn Diagrams and Set Notation (pdf)
Ven Diagrams and Probability (pdf)
Answer
Keys
Quiz #1 --
key
Quiz #2 --
key
Quiz #3 --
key
Quiz #4 --
key
Quiz #5 --
key
Quiz #6 --
key
Quiz #7 -- key/data
Quiz #8 --
key/key
Quiz #9 --
key
Quiz #10 --
key
Resources
Tutorials on Advanced Stats and Machine
Learning With R
Applied
Statistics with R (textbook)
Intermediate Statistics with R (textbook)
Probability and Statistics for Engineering and the Sciences, Jay. L.
Devore, 8th ed. (textbook)
Introductory Statistics (textbook)
Practical Statistics for Data Scientists (textbook)
Online Statistics Book
(textbook)
A Little Book of Time Series Analysis for R (textbook)
A Course in Time Series Analysis (textbook/notes)
Introduction to Probability
for Data Science (textbook)
Friedman's ANOVA
Test
How to
Perform Friedman's Test in R
Kendall's Tau
Calculating Kendall's Rank Correlation in R
Introduction to Bootstrapping (Statistics by Jim)
Boostrapping in R
Tutorial on Permutation Tests in R
How to use Permuation Tests
Understanding AUC-ROC Curves
Some Packages for ROC Curves
Time
Series Analysis in R
Getting Started with Multiple Imputation in R
Basic Statistics Using R
Learning Statistics with R
Statistics with R (Table of Contents)
Stats
and R
Intro
to Hypothesis Testing in R
R-Tutorial: An R
Introduction to Statistics
Tidy
Modeling with R
R Cheatsheets
Free Web Books for Learning (Statistics) with R
Easier ggplot with ggcharts
R
Color Brewer's Palettes
Markdown Cheat Sheet
Smoothing
Cubic and Smoothing Splines in R
B-Spline Basis for Polynomial Splines
R Project
R Studio
Anaconda
Using R with Anaconda
Links!
PDF Graph Paper
Bad Graphs (Convention Speeches)
Visualizing Data Badly: 8 Examples
Correlation is not Causation:
orginal article /
handout
Presidents by State
TI-Connect Software
How much people lie on surveys
On the Hazards of Significance
Testing
Exploring Correlation and Regression
Central Limit Theorem: with Bunnies and Dragons
SOCR: Statistics Online Computational
Resources
How Many Ways Can You Arrange a Deck of Cards?
Free Online Math
Courses
Confidence
Interval for Rho
Free Courses from Coursera
Other Statistics courses
Coding
Fall 2022
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