Thursday, April 19, 2007
Measuring Information
According to Ralph Hartly, the amount of uncertainty associated with a set of alternatives is measured bt the amount of information needed to remove the uncertainty. However, Claude Shannon takes it even further and finds about what the symbol is and how many yes-no questions need to be asked to establish what the symbol turns out to be.
Friday, April 6, 2007
Data Analysis
Data analysis is a great tool dealing with statistics and probability. It can help us better understand the world that we live in. For example, since we know when the temperature changes drastically the probability of having a tornado goes up we can better inform people of dangers that are coming.
In lab 9, I learned all about data analysis and linear regression. Linear regression allows one to plot a best fit line showing trends in data. This enables people to understand the specific data being analyzed.
In lab 9, I learned all about data analysis and linear regression. Linear regression allows one to plot a best fit line showing trends in data. This enables people to understand the specific data being analyzed.
Thursday, March 29, 2007
Statistical Analysis Using Microsoft Excel
Using Microsoft Excel to analize certain statistics makes it not only easier to make decisions, but also gives insight to certain information that many people can use to better understand our world. In this case, one can see the amount of cars traveled on certain streets around the IU campus. This can better help the University to keep the roads safer during bad weather or sporting events.
Friday, March 9, 2007
Friday, February 23, 2007
Binary Vs. Decimals
In order to convert binary numbers to decimals you must start from the end and multiply where there is a 1 by an exponent of 2. For the number 110010101 for example:
2^8 + 2^7 + 2^6 + 2^5 + 2^4 + 2^3 + 2^2 + 2^1 + 2^0=
1 1 0 0 1 0 1 0 1
256 + 128 + 0 + 0 + 16 + 0 + 4 + 0 + 1 = 405
So the answer is 405.
Converting decimals to binary is similar, but not the same. In order to do this, u must divide your starting number by two, recording if there is a remainder or not as a 1 or a 0 until you divide all the way through the number. For the number 529 for example:
(529/2) (264/2) (132/2) (66/2) (33/2) (16/2) (8/2) (4/2) (2/2) (1/2)
(264 R. 1) (132) (66) ( 33) (16 R. 1) (8) (4) (2) (1) (0 R. 1)
1 0 0 0 1 0 0 0 0 1
So the answer is 1000010001.
Positional vs. Non- Positional
Positional and Non-Positional number systems are very simple to understand. A positional number system consists of numbers where each position is related to the next by a constant multiplier. A non-positional number system does not have a constant multiplier for each position. Rather, in a non-positional number system, the numbers are represented as symbols to convey their purpose. For example, writing numbers in roman numerals is a specific way to write using a non-positional numbering system.
2^8 + 2^7 + 2^6 + 2^5 + 2^4 + 2^3 + 2^2 + 2^1 + 2^0=
1 1 0 0 1 0 1 0 1
256 + 128 + 0 + 0 + 16 + 0 + 4 + 0 + 1 = 405
So the answer is 405.
Converting decimals to binary is similar, but not the same. In order to do this, u must divide your starting number by two, recording if there is a remainder or not as a 1 or a 0 until you divide all the way through the number. For the number 529 for example:
(529/2) (264/2) (132/2) (66/2) (33/2) (16/2) (8/2) (4/2) (2/2) (1/2)
(264 R. 1) (132) (66) ( 33) (16 R. 1) (8) (4) (2) (1) (0 R. 1)
1 0 0 0 1 0 0 0 0 1
So the answer is 1000010001.
Positional vs. Non- Positional
Positional and Non-Positional number systems are very simple to understand. A positional number system consists of numbers where each position is related to the next by a constant multiplier. A non-positional number system does not have a constant multiplier for each position. Rather, in a non-positional number system, the numbers are represented as symbols to convey their purpose. For example, writing numbers in roman numerals is a specific way to write using a non-positional numbering system.
Friday, February 16, 2007
Modelling the World (part deux)
Modelling funds our knowledge in so many ways. It has so many uses in mathematics, physics, and many other of the sciences. It makes remembering infomation and computing information much easier by allowing our thoughts to correspond to some observable entity in the world. A model breaks down and reduces an apparent complexity into ideas that we can better understand. Such models as the Fibonacci sequence and different branching systems have made understanding and remembering information a much simpler task.
DOS vs. Unix
The Dos and Unix operating systems have very similar workings. The reference manual page (man man) in the steel directory, allows you to better understand how to get around the directory itself. It gives you commands that allow you to access different things in the database. The Dos counterpart could possibly be their directory or dir. In order to delete files in Unix, one must type in rm and the file that needs to be removed. However, the much easier to remember prefix for Dos is DEL and then the file needed to be removed. So far, Dos seems a much easier operating system to work with. But, once one gets into the much easier commands such as those that make and remove directories, Dos and Unix are exactly the same, mkdir in order to make the directory and rmdir to remove the directory. In Dos however, there is a different command besides rmdir and mkdir in order to perform these actions. One could also utilize the RD (remove directory) and MD (make directory). So personally, I find that the Dos operating system is much more user friendly and much easier to use.
Subscribe to:
Posts (Atom)