1) To estimate the mean number of people who are admitted to the
emergency room in Hamad
2
= 9. The 99% confidence
interval is:
A) 20.2 0.699
B) 20.2 0.4935 C) 20.2 0.7725
D) 20.2 0.384
2) Use the con
Qatar University
Applied Survival Analysis
Date: 11/11/2015
Statistics Program
Assignment 3
Due date: 16/11/2015
-Student Names:
Group Number:
-Consider the following survival data on 15 patients cont
Find the following probabilities: Pr(A), Pr(A or B), Pr(C and D),
Pr(D and E), Pr(D or E)
Probability Trees
Probability tree is a convenient way to break a problem down into
parts and organize informa
Effects of Transformations of Variables
There are a lot of reasons why it is more convenient to transform
a variable some of those reasons include:
1. You may want to change units from kg to
lbs
2.
Normal Curves
Normal distribution: is a distribution represented by a normal curve.
If a variable Y follows normal distribution, then it can be represented by
Y ~ N ,
.
N represents that the distribut
Hm Enlnr and he Eula: Table 3.3.1 sham the mhtiumhip helm hair mint and
1:: mlur in: a Err-up at 1.170 Gennnn mm.
'I'IHI 1.2M Hltr CHIIH' Ind are cutw
tn Baum Em hlwk hair and wd hair" an: ninL if we
Probability and the Life Sciences
When we are studying probability, we are
determining the likelihood of a certain situation
taking place.
Combining that with the Life Sciences, we could be looking
at
Computing Formula for a Sample Standard Deviation
A sample standard deviation can be computed using the
computing formula s .
=
( ) (
(
1
)
2
)
Comparison of Measures of Dispersion?
Grouped-Data Formu
Binomial Distributions
This section focuses on a special type of a random variable
called the binomial.
In some statistical studies we perform an experiment
repeatedly. In this type of experiment, the
Applied Survival Analysis
Date: 18/11/2015
Statistics Program
Assignment 3
Due date: 23/11/2015
-Student Names:
Group Number:
-The data for this question consists of a sample of 50 persons from the 19
50
1.
Introduction to Survival Analysis
Practice
Exercises
True or False (Circle T or F):
T
F
T
F
T
F
T
F
T
T
T
F
F
F
T
F
T
F
T
F
T
F
T
F
T
T
F
F
T
F
1. In a survival analysis, the outcome variable is
1)
The following table cross-classies 6549 subjects living in Massachusetts according to health
risk (stressed or not stressed) and income (low, medium, or high):
Income
Stress level Low Medium High T
1) The brain weights of a certain population of adult Swedish males follow a normal
distribution with mean = 1400g and standard deviation = 100g.
a) What percentage of the brain weights for this popul
Chapter 3
Random Sampling, Probability, and the Binomial Distribution.
Random Samples
Definition:
A SIMPLE RANDOM SAMPLE of n items is a data set
where:
(a) every member of the population has an
equal
Descriptive Statistics
Measures of Center
Measures of center include:
the m
ean
the m
edian
the m
ode
These m
easures all describe the center of a distribution in a slightly different way.
Sample Mean
The Normal Distribution
Chapter 4:
Definition:
A continuous random variable Y has a NORMAL
DISTRIBUTION if its probability density can be written as:
2
2
1 e -(y-Y) /2Y
f (y) =
Y 2
over
< y < .
NOTAT
Exercise:
A random sample of 3,500 eligible voters was asked whether they
approved of the president's job performance. Here are the results:
A. Find P(Fem
ale) and P(Male).
B. Find P(Approve) and P(Di
Chapter 5:
Sampling
Distributions
Sampling distributions
Study and meta-study
Sampling distribution of a proportion
Estimator for a Proportion
For Y ~ Bin(n,p) we can estimate p if it is unknown
using
Chapter 7
Comparison Of Two Independent
Samples
Notation for comparison of two samples
Hypothesis testing
A statistical hypothesis test is a method of making
decisions using data.
Example:
Scientists
Chapter 6:
Estimation and Confidence
Intervals
Unbiased Estimation
Parameters such as
or are usually unknown, and
we use the sample data to estimate them.
Definition: If an estimator
parameter
of an