SDS 328M Biostatistics Lab 8 - ChiSquared Test of Independence
Department of Statistics and Data Sciences, UT Austin
Introduction
In this weeks lab, we will conduct the chi-squared test of independenc
Why UTeach?
A Study on the Effects of Motivation and Perceived
Challenges on Predicted Teaching Career Duration
Ivy Claire
December 14, 2017
Biostatistics 328M
Introduction
Research Objectives: The ob
SDS 328M Biostatistics Lab 7 - Tests for a
Single Categorical Variable
Department of Statistics and Data Sciences, UT Austin
Introduction
This lab covers two inferential methods, the binomial test and
SDS 328M Biostatistics Lab 11 - ANOVA
Department of Statistics and Data Sciences, UT Austin
Introduction
An ANOVA (analysis of variance) is used to analyze the effect of one or more explanatory variab
Part 2 R work (must be done in R)
Copy and paste your R code and output into a word document to submit to Canvas.
Follow these instructions to import the necessary dataset:
Before opening the dataset
Part 2 R work (must be done in R)
Copy and paste your R code and output into a word document to submit to Canvas.
Follow these instructions to import the necessary dataset:
Before opening the dataset
SDS 328M Research Project
Part B: Research Project Proposal (40 pts):
Worksheet
Instructions
Answer the following questions about your research project topic. You do not need to use
complete sentences
SDS 328M Research Project
Part D: Final Poster (135 pts)
Instructions
Overview
For this section of the project, you will be analyzing your data and creating a research
poster. You must upload the fina
Project Title
Name
Date
Class
Introduction
Objectives: Summarize your research question.
What variables are you investigating?
What motivation did you have for choosing this research
topic?
Research
Jiae An (UT EID: ja44432)
Part C: Preliminary Analysis Report
Introduction
In this study, I examine the effects of class level and residence status on participation in
extracurricular activities of UT
Biostat HW 5 (#3 R work)
Ivy Claire
Lab: Th 11-12
3.
a)
> mean(faithful$eruptions)
[1] 3.487783
> sd(faithful$eruptions)
[1] 1.141371
b) When n = 25, expected sample mean is similar to population mean
HW5
A)
B)
> mean(eb27447$weight)
[1] 65.8
> sd(eb27447$weight)
[1] 15.09501
C)
>
>
+
>
+
+
+
+
vector <- rep(NA, 1000)
for (i in 1:1000)
vector <- rep(NA, 1000)
for (i in 1:1000)
cfw_
mysamp <- sample
SDS 328M Biostatistics Lab 7 - ChiSquared Goodness-of-Fit Test
Department of Statistics and Data Sciences, UT Austin
Introduction
This lab covers the inferential method that can be used to test a clai
SDS 328M: Team Review Quiz 2
Team No.: _
Team Members: _
_
Directions: Write all of your names and team number on the back of the scratch-off card.
Then use it to record your answers. A star appears u
SDS 328M Biostatistics Lab 3 Describing and Displaying Data
Department of Statistics and Data Sciences, UT Austin
Introduction
The rst step in any statistical analysis is to describe the relevant data
Chapter 17B
1. Male C rotaphytus collaris lizards use their jaws as weapons during territorial interactions
with rival males. Lappin and Husak (2005) tested Whether bite force (measured in newtons)
pr
SDS 328M Biostatistics Lab 4 Sampling Distributions
Department of Statistics and Data Sciences, UT Austin
Introduction
To run any kind of inferential statistics, we need to collect a random sample fro
SDS 328M Biostatistics Lab 10 Correlation and Regression
Department of Statistics and Data Sciences, UT Austin
Introduction
Correlation and regression analyses examine the linear relationship between
SDS 328M Biostatistics Lab 5 - OneSample t Tests
Department of Statistics and Data Sciences, UT Austin
Introduction
In this lab, we will conduct our rst hypothesis test in RStudio, the one-sample t te
Evan Boog-Scot
Monday 3-4
Eb27447
October 19, 2016
HW 6
A)
> qqnorm(MedicalData$BMI, main = 'BMI Dsitribution')
> qqline(MedicalData$BMI, col = 'red')
This means that the data is over all pretty norma
Biostats HW 4
A)
> table(eb27447$region)
Africa
18
Asia Latin.Amer Near.East
10
16
6
B)
> hist(eb27447$tfr, main = "Distribution of Total Fertility Rates", ylab = "Frequency", xlab =
"Fertility Rate",
Biostats HW8
A)
> eb27447 <- table(hw8$Gender, hw8$Diabetic)
> eb27447
D NO
F 22 33
M 25 52
B)
> prop.table(eb27447, 2)
D
NO
F 0.4680851 0.3882353
M 0.5319149 0.6117647
C)
> chisq.test(eb27447)$expect
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1. In 1879, Albert Michelson conducted several experiments to measure the speed of light.
The morley dataset contains measurements from five of these experi
Biostats SDS 328M Homework 7
Part 1 Hand work (all work and graphs must be done by hand).
Write your answers onto one or more separate sheets of paper. Clearly mark each sheet
with your name and your
SDS 328M Biostatistics Lab 9 - NonParametric Analysis
Department of Statistics and Data Sciences, UT Austin
Introduction
When data fails to meet the assumptions of parametric tests, like t-tests, one
Biostatistics SDS 328M
Final Research Poster Instructions (170 pts)
Overview
The final assignment for your research project is creating a Final Research Poster and
presenting it during the final exam
Project Title
Name
Date
Class
Introduction
Objectives: Briefly summarize what you are investigating with
your study.
What was your motivation for choosing this topic?
What relationships did you expe
Study questions for Chapters on the Action Potential
1) Explain the ionic basis of the action potential. In other words, which ions flow
into the cell during the upstroke of the action potential and w