STAT 302 Statistical Methods
Lecture 7
Dr. Avishek Chakraborty
Visiting Assistant Professor
Department of Statistics
Texas A&M University
Parameters and statistics
A parameter is a number that describes the population. In
practice, the value of a paramet
NAME (printed)
Time you attend lecture:
Practice Exam O1 Midterm 01
STAT 302 Spring 2014
1. There are 17 questions on the exam, each worth 3 points for a total of 51 points.
2. Your score will be considered as out of 50 points. 50 you have the opportu
STAT 302 Statistical Methods
Lecture 9
Dr. Avishek Chakraborty
Visiting Assistant Professor
Department of Statistics
Texas A&M University
Using sample data to draw a
conclusion about a population
Statistical inference provides methods
for drawing conclus
Test of hypotheses for population mean when is unknown
Whenever you have a test of hypotheses for population mean, consider the following two questions:
Q1. Do the observations follow a normal distribution? Q2. Do you have 30 observations in the sample?
I
STAT 302 Statistical Methods
Lecture 8
Dr. Avishek Chakraborty
Visiting Assistant Professor
Department of Statistics
Texas A&M University
Motivation: Are boys biologically more likely?
There are slightly more boys than girls born in the United States ever
STAT 302, SPRING 2014
Useful facts on Sample Proportions
Consider an experiment, where the outcome is a yes/no or success/failure type. (e.g. has a particular
child taken the flu vaccine this fall ? ). Let there be n different individuals participating in
STAT 302, Spring 2014
Short note on random variables
For a continuous random variable X, probabilities of different ranges of X
are calculated using the density curve. Some useful comments:
Always keep in mind that for a continuous random variable,
P(X =
STAT 302, Spring 2014
Summary of results from sampling distribution/confidence interval for mean
Fact 0: If each observation in my sample has a probability distribution with mean
and variance , then the sample mean has a probability distribution with mea
STAT 302, Spring 2014
Short note on notations and rules of probability
S: Sample space, the collection of all possible outcomes.
If I toss a coin only once S = cfw_H, T
If I toss a coin thrice, S is the collection of triplets which combines an
outcome fro
STAT 302, Spring 2014
Fall 2013
Short note on descriptive statistics
A dataset has a left skew when
median > mean
In the histogram, the decay to the left of the mode is
significantly larger than the decay to its right
Q2-Q1 is larger than Q3-Q2
In the box
STAT 302, Spring 2014
Short note on definition of probability and union and intersection of
independent events
Q. For any event A, what do we mean by P(A) = 0.6 ?
A. If the experiment is repeated multiple times, the fraction of
times A will occur is expec
STAT 302, Spring 2014
When to use bar charts and pie charts
1. You cannot use a bar chart or pie chart when the variable is
quantitative or numerical. (some examples are: age (in years),
height(in inches), number of siblings, number of cars in a
neighborh
STAT 302, Spring 2014 : Sample Information paper for Midterm 01
Avishek Chakraborty
Disclaimer: The next two pages of this document are created only as a
representative information sheet and does NOT warrant that whatever
information a student needs for a
STAT 302 Statistical Methods
Short Note : Identifying variables in a study
Dr. Avishek Chakraborty
Visiting Assistant Professor
Department of Statistics
Texas A&M University
Step 1 : Identify (categorical or numerical)
features of the subjects the study
STAT 302, Spring 2014
Quiz 1
NAME :
date: 02/20/2014
(Please write your name clearly. Circle the correct answer for each question. You will get 6
points for writing and submitting this quiz)
Q1. A medical study involved about 22,000 males between the ages
STAT 302 Statistical Methods
Midterm 01 announcement
Dr. Avishek Chakraborty
Visiting Assistant Professor
Department of Statistics
Texas A&M University
Midterm 01
Date : February 27, 2014 (Thursday)
Time : Regular lecture hour
Place: Regular lecture ro
Statistics 302
Sections 503 and 504
Spring 2014, Texas A&M University
Instructor: Dr. Avishek Chakraborty (email: avishekc@stat.tamu.edu)
Office:
406A Blocker Building
Office hours:
Tuesday 10:45 AM 12:15 PM, Wednesday 12 Noon 2:30 PM
and by appointment.