Statistics HW Chapter 12
Please grade number 10 (2 points per section) and number 11 (4 points for (a), 4
points for (b), and 2 points for (c).
1. Performing all possible pairwise t-tests would have at least the following
problems: first, the number of su
Chapter Ten (Pagano and Gauvreau) Homework solutions
#8 graded as follows 1 point for each of the four factors
#11 graded as follows 1 point for each part
# 13 graded as 2 points.
1. The purpose of a test of hypothesis is to discover if our sample provide
Chapter Ten (Pagano and Gauvreau) Homework solutions
#8 graded as follows 1 point for each of the four factors
#11 graded as follows 1 point for each part
# 13 graded as 2 points.
1. The purpose of a test of hypothesis is to discover if our sample provide
Chapters Eight and Nine (Pagano and Gauvreau) Homework solutions
Chapter 8:
4 points for attempting chapter 8 hw, in whole or part
#12 graded as follows 2 points for (a); 1 point for (b); 2 points for (c); 1point for (d)
1. Statistical inference is the pr
Chapters Eight and Nine (Pagano and Gauvreau) Homework solutions
Chapter 8:
4 points for attempting chapter 8 hw, in whole or part
#12 graded as follows 2 points for (a); 1 point for (b); 2 points for (c); 1point for (d)
1. Statistical inference is the pr
Chapters Six and Seven (Pagano and Gauvreau) Homework solutions
Chapter 6:
1. The frequentist definition of probability is based on the idea of repeated
observations of an event of interest occurring in a very large number of outcomes
of a random experime
Chapters Six and Seven (Pagano and Gauvreau) Homework solutions
Chapter 6:
1. The frequentist definition of probability is based on the idea of repeated
observations of an event of interest occurring in a very large number of outcomes
of a random experime
Biostat 200 Lab 11
Lab 11
The goal of this lab is to examine categorical and continuous predictor variables in linear regression
and to practice running logistic regression.
1. Data analysis using the FEV data set. The variables are:
age: discrete, positi
Biostat 200 Lab 9
Lab 9
The goal of this lab is to practice running and interpreting contingency table analyses, correlation, and
simple linear regression.
1.
Data analysis using the class data set. We are going to look at what variables are associated
wi
Biostat 200 Lab 9
Lab 9
The goal of this lab is to practice running and interpreting contingency table analyses, correlation, and
simple linear regression.
1.
Data analysis using the class data set. We are going to look at what variables are associated
wi
Biostat 200 Lab 7
Lab 7
The goal of this lab is to review hypothesis testing and to perform parametric and non-parametric
hypothesis tests.
1. Journal article review (article posted on the web site)
Stress. 2010 Sep 2. [Epub ahead of print]
Hair cortisol
Biostat 200 Lab 6
Lab 6
The purpose of this lab is to become more familiar with hypothesis testing in general, and to conduct
tests of two means and of two proportions.
1. Please form groups of 2-4 people
Go to http:/www.sciencedaily.com/news/health_medic
Biostat 200 Lab 5
Lab 5
In this lab we will construct confidence intervals by hand and in Stata.
1. Confidence intervals in Stata
In assignment 2 you calculated the mean and standard deviations for several numerical
variables.
While some of these variable
Biostat 200 Lab 4
Lab 4 exercises
The purpose of this lab is to give you more practice in reading the tails of the normal distribution
and the t distribution, construct confidence intervals, and to interpret a manuscript that assesses
the sensitivity and
Biostat 200 Lab 4 answers
Lab 4 answers
The purpose of this lab is to give you more practice in reading the tails of the normal distribution
and the t distribution, construct confidence intervals, and to interpret a manuscript that assesses
the sensitivit
Biostat 200 Lab 3
Lab 3
In this lab we will work with probabilities and examine some properties of the binomial and the
normal distributions.
1. Probability exercise
Pagano and Gauvreau Chapter 6 question 8
For Mexican American infants born in Arizona in
Biostat 200 Lab 3 answers
Lab 3 answers
In this lab we will work with probabilities and examine some properties of the binomial and the
normal distributions.
1. Probability exercise
Pagano and Gauvreau Chapter 6 question 8
For Mexican American infants bor
Biostat 200 Lab 2
Biostat 200 Lab 2
Stata data manipulation and graphical data analysis
In the first part of this lab we will review creating new variables and adding labels to variables in
Stata. We will also learn how to categorize variables and attach
Biostat 200 Lab 1
Biostat 200 Lab 1
The purpose of this lab is to (1) distribute the survey and the survey instructions (2) get up and
running in Stata, and (3) practice viewing data and data summaries in Stata. We will save our
commands in a do file for
Biostat 200 Lab 1
Biostat 200 Lab 1
The purpose of this lab is to (1) distribute the survey and the survey instructions (2) get up and
running in Stata, and (3) practice viewing data and data summaries in Stata. We will save our
commands in a do file for
Chapter 14 HW solutions
(BIOSTAT 200 grade 3 and 8 only)
1. It is appropriate to use the normal approximation to the binomial distribution
when both np and n(1 p) are greater than 5.
2. The continuity correction is used to make the approximation to the bi
Biostat HW 15 Selected Solutions
(Grade any 2 questions that have been done - 5 points each)
1. The marginal distributions of the two categorical variables are used to develop an
expected value for each cell in the table, under the null hypothesis of equa
Homework from Chapter 11 Solutions
(Grade this HW as "done" or "not done", with 5 points for each of the 5 questions.
I assume that if it is "done", it is correct, in other words.)
Chapter 11
1. Paired samples contain observations in one group that are na
Biostat Ch 20 solutions
1. Probability of success is not in the required range (minus infinity to plus infinity)
for linear regression variables. Equivalently, it is not a continuous variable.
5. a. It decreases (the coefficient of number of prenatal visi
Biostat Ch 18 HW Solutions
(Grade number 8 see points below)
1. The main distinction between correlation analysis and simple linear regression is
that in regression, there is a direction in the linear relationship the predictor
variable explains the respo
Biostat Ch 18 HW Solutions
1. The main distinction between correlation analysis and simple linear regression is
that in regression, there is a direction in the linear relationship the predictor
variable explains the response variable, whereas in correlati
Biostat 200 Ch 17 Solutions
[Grade question 5 10 points total, as detailed below]
1. It is important to look at a scatterplot so that you can get an idea of the strength,
direction and type (linear or non-linear) of relationship between the two
continuous
Biostat 200 Ch 17 Solutions
1. It is important to look at a scatterplot so that you can get an idea of the strength,
direction and type (linear or non-linear) of relationship between the two
continuous variables.
2. Pearsons correlation coefficient provid
BIOSTAT Ch 16 HW Solutions
1. Simpsons paradox occurs when the relationship between two (categorical)
variables is affected by a third variable. The third variable can affect the direction
or the magnitude (or both) of the relationship between the two var