Lecture 9: Sampling and Sampling
Distributions
Simple Random Sample:
a sample chosen so that the probability of selecting each element in the
population is the same for each and every element, and the chance of selecting
one element is independent of whet
carried over on the back. How impossible it is, in these days of
effortlessly erasing, transposing, rewriting and deleting on a
computer, to see the actual process at work, the half-formed,
tentative thought before it becomes fixed on the page, assured
an
explanations. No one asked Are you Indian? just as no one
said Are you alive? And I? Living or partly living. Drink to
partly living. They drank. But, my friend, said Murad, in a
drowsy haze of intoxication. The time did come for questions.
You and I toge
CONNECTING TO THE SELFCHAPTERS 8 AND 9 Documenting
connections: Introduce learners to text-to-self connections by
asking them to mark places they read which remind them of
other situations, people, or events in their own lives. Let
students know that it i
paintings explored and explained. London: Dorling Kindersley,
1995. de la Croix, Horst, and Richard G. Tansey, eds. Gardners
Art Through the Ages. 7th ed. New York: Harcourt Brace
Jovanovich, 1980 Gulotta, Charles. 500 SAT Words and How to
Remember Them F
magazine, followed by a second which appeared in the
American journal Atlantic Monthly. These early successes were
of course encouraging, but she was plagued by a persistent lack
of confidence and a feeling of inadequacy. What could she
possibly have to s
from the University of Missouri in Columbia, Missouri and her
teaching license from the University of North Carolina in
Asheville, North Carolina. In addition to producing this guide,
she conducts seminars for educators about teaching reading to
middle an
(the eye that sees round about itself, sees not into itself); only
your Honours applauding encouragement hath power to make
me arrogant. Incomprehensible is the height of your spirit, both
in heroical resolution and matters of conceit. Unreprievably
peris
canvas of her later published fiction. When I was growing up,
politics and literature were the two topics which were discussed
at home, Attia said in a 1997 interview (in Bharucha 20).
Lucknow in the 1930s, like much of north India, was seething
with poli
female friend babyish, helpless, sweet, young friend (green),
tender Eloi people who live above ground elite, gentle,
pleasant, weak Morlocks creatures who live below ground evil,
dark, hateful, devilish MAKING CONNECTIONS An effective
strategy to aid rea
novel to do this. Share these with the class and discuss
similarities and differences in your pictures and perceptions.
Reflect on what it was in your experience that caused you to
draw the picture you did. Visualizing the setting of chapter four:
Have gr
published in Wasafiri). With our anthology we hope to
introduce the very best of Attias short fiction (which she was
happiest with) to those who know her through her novel; and
to excite those who havent read it by guiding them to her
magnificent books. A
Lecture 10: Point and Interval Estimation
Statistical Estimation
Estimator:
a statistic which is used to estimate a parameter.
Estimate:
the numerical value of the estimator that is used.
Note: if we use
estimate is 10.
to estimate and
= 10, then
is the e
Lecture 4: Counting
There are two ways to answer a "what is possible" question.
list everything that can happen in a given situation.
use mathematics to determine how many different things can happen without
actually constructing a complete list.
Example
Lecture 2: Summarizing Numerical
Information
Types
Measures of Central Tendency (center, middle, most typical)
Measures of Dispersion (degree to which individual obs. vary about this
average)
Parameters (population) vs. Statistics (sample)
Analytical Stat
Lecture 3: Set Notation
TheSampleSpace
Experiment:
any process by which data are obtained through the observation of
uncontrolled events in nature or through controlled procedures in a
laboratory.
ex. roll a die, an experiment with 6 outcomes.
Outcome:
re
Lecture 5: Probability
The Classical Probability Concept:
If there are n equally likely possibilities, of which one must occur and s are
regarded as favorable, or as a "success", then the probability of a "success"
is s/n.
Example 1
What is the probabilit
Lecture 6: Random Variables and Probability
Distribution Functions
Random Variables
Random Variable:
A numerical quantity the value of which is determined by an experiment. i.e. its
value is determined by chance.
assumes:
1.
An experiment is conducted (ro
Lecture 7: The Binomial Distribution
Bernoulli Trials
Bernoulli Trials
3 conditions
Each trial results in one of two possible outcomes, which are
termed either "success" or "failure".
1.
2.
The probability of success remains the same from one trial to the
Lecture 8: The Normal Distribution
The normal distribution is the most important distribution in business and economics.
Continuous Distributions
Recall: the manufacturing plant that produces pieces of metal with two holes. The
distance between the holes
Lecture 12: Regression and Correlation Techniques
Regression and correlation analysis are concerned with the relationship between one
or more variables.
For example:
Beta is the relationship between a stock's return and the return of the market as
a whole
Lecture 11: Hypothesis Testing
A company knows that on average, the diameter of a carbon rod is 2 cm. They want to
test for any change in this (due to faulty machinery, etc.), so they pick a random
sample of that day's output to test the hypothesis that t
Lecture 1: Introduction to Statistics
Statistics:
a branch of mathematics dealing with the collection, analysis, interpretation,
and presentation of masses of numerical data.
Descriptive Statistics:
concerned with summarizing and describing a given set of