PHC 6052 Biostatistics 1
HW#1
Due 09/16/2015
1. Forced expiratory volume (FEV) is an index of pulmonary function that measures the
volume of air expelled after 1 second of constant effort. Data set FEV.DAT on Blackboard
contains determinations of FEV in 1

Kaplan-Meier Curve and Log-Rank Test in SPSS
1. Make sure your data is in the long format, where each observation takes a row. In the data
editor, click the Variable View tab on the bottom left. Make sure there are at least survival
time, and the censorin

PHC 6052 Biostatistics I
HW#3
Due 10/05/2016
Q1. Body Mass Index (BMI) is a number calculated from a person's weight and height and is
calculated by the formula: weight (kg) / [height (m)]2. Though somewhat controversial and not
meant to be used as a diag

PHC 6052 Biostatistics I
Lecture 8 Hypothesis Testing: Categorical Data
Dr. Tan Li
Department of Biostatistics
Florida International University
1
Sampling Distribution of a Sample Proportion
Choose an SRS of size n from a population of size N with proport

PHC 6052 Biostatistics I
Lecture 7 Hypothesis Testing: Two-Sample
Dr. Tan Li
Department of Biostatistics
Florida International University
1
Steps of Hypothesis Testing
1.
State hypotheses H0 and H1.
2.
Compute a relevant test statistic.
The test statisti

PHC 6052 Biostatistics I
Lecture 6 Hypothesis Testing: One-Sample
Dr. Tan Li
Department of Biostatistics
Florida International University
1
Two Inference Problems
Estimation. (Lecture 5)
Example: A group of students at FIU reported their
study time per we

PHC 6052 Biostatistics
Lecture 5 Estimation
Dr. Tan Li
Department of Biostatistics
Florida International University
1
Parameters and Statistics
parameter is a number that describes some
A
characteristic of the population. In statistical
practice, the val

PHC 6052 Biostatistics I
Lecture 2 Probability
Dr. Tan Li
Department of Biostatistics
Florida International University
Sample Space and Event
A statistical experiment is a process whose
outcomes cannot be predicted in advance with
absolute certainty.
Samp

PHC 6052 Biostatistics I
Lecture 3 Discrete Probability Distributions
Dr. Tan Li
Department of Biostatistics
Florida International University
1
Thinking About Randomness
The result of any single coin toss is random. But the result over
many tosses is pred

PHC 6052 Biostatistics I
Lecture 4 Continuous Probability Distributions
Dr. Tan Li
Department of Biostatistics
Florida International University
1
Continuous Random Variable
Recall that a random variable is continuous if its
possible values form one or mor

1
Name_
PHC 6052: Midterm Exam, Fall 2015 Solutions
Answer all parts of each question carefully and completely. Show all work for consideration of partial credit.
Unless stated otherwise, round all numeric answers to at least the nearest thousandth (3 dec

PHC 6052 Biostatistics I
HW#3
Due 10/07/2015
Q1. Body Mass Index (BMI) is a number calculated from a person's weight and height and is
calculated by the formula: weight (kg) / [height (m)]2. Though somewhat controversial and not
meant to be used as a diag

PHC 6052 Biostatistics 1
HW#2 Solutions
Due 09/30/2015
1.
Consider the following investment strategies.
A: 50% chance of winning $300, and 50% chance of losing $100.
B: 50% chance of winning $500, and 50% chance of losing $300.
C: 20% chance of winning $8

Survival Analysis
Key variable = time until some event
time from treatment to death
time for a fracture to heal
time from surgery to relapse
Censored observations
subjects removed from data set at
some stage without suffering an event
[lost to follow-