Tab 1----All graphs, including the histogram should have an appropriate title and the x and y axis should be labeled. Bin and frequency does not give any information as to what is being represented by the numerical data in the histogram (hint: Electricity cost (in $) and one-bedroom apartments). As Professor Ellis stated in the lectures, graphs should be able to stand alone. “A Graph should sing its song!” Bin ranges are correct. However, the largest percentage does not lie between 139, 179. Both are upper boundaries. Following this logic would mean that there are a total of 31 data values as being the largest percentage, which your graph does not support. In determining between what two amounts does the largest percentage of observation lie? You should identify the tallest bar or view the bin-frequency table. That location will be one of the two numbers. Where would that range start (range cannot start at an upper boundary)? That is the other number you are to identify; will be the number starting the next range. So, if 139 is an upper boundary; where would the next range start if it ends at 159? Tab 2---All answers including 2a, b, c, d must include thorough interpretation (in your own words); not sufficient to just arrive at answers. In other words, in your own words, thoroughly explain what your results represent. I highly recommend reviewing the third video in Week 1 for homework expectations. You have to assume, I am a non-quantitative person not familiar with Stat and have no idea of the questions. The only areas I see when reviewing your workbook are responses, mathematical evidence and interpretation, which must be thorough so sound managerial decision can be made from your results, which should not have to require any additional information. Tab 3---There is a strong positive relationship between what? x and y axis should be labeled on the scatter plot. 3b--Correlation coefficient .42? Correlation coefficient of what? Please make corrections and...

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...Probability Theory and Game of Chance
Jingjing Xu
April 24, 2012
I. INTRODUCTION
Probability theory is the mathematical foundation of statistics, and it can be applied to many areas requiring large data analysis. Curiously, that the study on probability theory has its root in parlor games and gambling. In 17th century, dice gambling was a very...

...A Short History of Probability
Dr. Alan M. Polansky
Division of Statistics
Northern Illinois UniversityHistory of Probability 2
French Society in the 1650’s
! Gambling was popular
and fashionable
! Not restricted by law
! As the games became
more complicated and
the stakes became
larger there was a
need for mathematical
methods for computing
chances.History of Probability 3
Enter the Mathematicians
! A well-known gambler,
the...

...I. Probability Theory
* A branch of mathematics concerned with the analysis of random phenomena. The outcome of a random event cannot be determined before it occurs, but it may be any one of several possible outcomes. The actual outcome is considered to be determined by chance.
* The word probability has several meanings in ordinary conversation. Two of these are particularly important for the development and applications of the mathematical theory of...

...guys, this is the probability Assignment. Last date for submission is 10 aug...
Q1. What is the probability of picking a card that was either red or black?
Q2. A problem in statistics is given to 5 students A, B, C, D, E. Their chances of solving it are ½,1/3,1/4,1/5,1/6. What is the probability that the problem will be solved?
Q3. A person is known to hit the target in 3 out of 4 shots whereas another person is known to hit the target in 2...

...P(S) The symbol for the probability of success
P(F) The symbol for the probability of failure
p The numerical probability of a success
q The numerical probability of a failure
P(S) = p and P(F) = 1 - p = q
n The number of trials
X The number of successes
The probability of a success in a binomial experiment can be computed with...

...1) What is the value of understanding probabilities? Give specific examples of applications.
Your response to the question is due by Thursday, October 22nd.
Probability theorems tell us that, from the relative frequency of all possible events, a particular outcome will occur some computed percentage of the time.
Gambling on the slot machines takes into account the probability that after X amount of non matching pulls, there is a pull with a...

...Conditional Probability
How to handle Dependent Events
Life is full of random events! You need to get a "feel" for them to be a smart and successful person.
Independent Events
Events can be "Independent", meaning each event is not affected by any other events.
Example: Tossing a coin.
Each toss of a coin is a perfect isolated thing.
What it did in the past will not affect the current toss.
The chance is simply 1-in-2, or 50%, just like ANY toss of the coin.
So each toss...