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 confidence level and sample data to find the margin of err
29-Oct-13
The First EXAM
Sun. 3rd Nov. 2013
Chapter 3 & 4
in computer labs. # [ 220A, 221A, 223A, & 224A] in
the female Science building.
Fall 2013
CHEM 211- Chapter 5- W eek 7
1
Chapter 5
Stereochemistry
Chemistry in three dimensions
Fall 2013
CHEM 211-
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
dichotomous.
2. In a survival analysis, the event is u
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 1967-1980 Evans County
Study. There are two basic indepen
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 containing their survival times in weeks, gender
(male = 0,
Dept. of Chemistry & Earth Sciences
ORGANIC CHEMISTRY I - CHEM 211
Fall 2013 L51 93m
Siham Y. AIQaradawi
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H I 4- I Chapter [5] -
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 Total
Stressed 526 274 216 1016
Not Stressed 1954 1680 1
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 population are between 1200 and
1600 grams?
b) What is the 8
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
chance of being selected.
(b) the members of the sampl
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
Definition:
The mean of a data set is the sum of the o
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 < .
NOTATION: Y ~ N(Y , 2 Y)
The mean and variance of a normal d
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(Disapprove).
C. Find P(Fem | Approve) and P(Male | Approv
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 the SAMPLE PROPORTION:
p=Y
n
Since Y is random, so is
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 wish to test the hypothesis that norepinephrine (NE)
le
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 unknown
E =
has the property that
we say it is an UNB