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pankreas dalam bahasa melayu

pancreas in malay

Last Update: 2014-08-14
Subject: General
Usage Frequency: 1
Quality:
Reference: Anonymous

Senarai istilah Islam dalam bahasa Arab

Glossary of Islam

Last Update: 2014-08-16
Usage Frequency: 1
Quality:
Reference: Wikipedia

Bahasa pertama

First language

Last Update: 2014-08-16
Usage Frequency: 1
Quality:
Reference: Wikipedia

Bahasa Mandarin

Mandarin Chinese

Last Update: 2014-08-15
Usage Frequency: 4
Quality:
Reference: Wikipedia

Bahasa isyarat

Sign language

Last Update: 2014-08-13
Usage Frequency: 1
Quality:
Reference: Wikipedia

Bahasa Benggali

Bengali language

Last Update: 2014-08-17
Usage Frequency: 3
Quality:
Reference: Wikipedia

Bahasa Malayalam

Malayalam

Last Update: 2014-08-15
Usage Frequency: 1
Quality:
Reference: Wikipedia

Bahasa Kantonis

Cantonese language

Last Update: 2014-08-14
Usage Frequency: 1
Quality:
Reference: Wikipedia

Bahasa Yiddish

Yiddish language

Last Update: 2014-08-12
Usage Frequency: 1
Quality:
Reference: Wikipedia

Bahasa Inggeris British

British English language

Last Update: 2014-08-14
Usage Frequency: 1
Quality:
Reference: Wikipedia

Dewan Bahasa dan Pustaka

jenayah siber

Last Update: 2014-08-15
Subject: General
Usage Frequency: 1
Quality:
Reference: Anonymous

Dewan Bahasa dan Pustaka

reversed

Last Update: 2014-08-12
Subject: General
Usage Frequency: 1
Quality:
Reference: Anonymous

Bahasa-bahasa Athabaska

Athabaskan languages

Last Update: 2014-08-07
Usage Frequency: 1
Quality:
Reference: Wikipedia

Bahasa-bahasa Austronesia

Austronesian languages

Last Update: 2014-07-28
Usage Frequency: 1
Quality:
Reference: Wikipedia

Dewan Bahasa dan Pustaka

4. WHY WE TEACH IT: THE TYRANNY OF THE COMPUTABLE A sage once advised The important thing is to recognize the principle, not to do obeisance before one of the cogs of its mechanism." As a general directive, it's hard to argue with, but unfortunately, history shows that cogs and mechanisms have more to do with our choices than we might like. I've become convinced that a huge chunk of statistical theory was developed in order to compute things, or approximate things, that were otherwise out of reach. Until very recently, we had no choice but to rely on analytic methods. The computer has o ered to free us and our students from that, but our curriculum is at best in the early stages of accepting the o er. To appreciate the extent to which our thinking is kept on a tight leash by what we can compute, consider a pair of questions from the history of mathematics and statistics. The rst of the two questions deals with the history of calculus. More than two thousand years ago, Archimedes knew a version of integral calculus, and showed how to use limits to compute areas under curves. The question: If Archimedes knew about limits and how to use them to compute areas, back around 350 BCE, why did we have to wait another two thousand years for Newton and Leibniz to give us the modern version of calculus? The second question has a similar structure. Thomas Bayes did his work on what we now call Bayesian inference around 1760. Laplace did a lot with Bayesian methods in the 1770s. Yet roughly 200 years later, in the 1950s, 60s, and 70s, hardly any statisticians were doing Bayesian data analysis. Several in uential statisticians, including Birnbaum (1962), De Finetti (1972), Good (1950), Lindley (1965),and Savage (1954), wrote many widely read papers and books addressing the logical foundations of statistics and containing proofs to the e ect that you had to be mentally de cient not to be a Bayesian in your orientation. Nevertheless, these impeccable arguments by in uential statisticians won few converts. Most of us read the proofs, nodded in agreement, and continued to practice our de ciencies. Three more decades passed. Then, just in the last 15 years or so, our world has experienced a Bayesian Renaissance. Why? I suggest that the answers to these two questions are similar. Consider rst the calculus question. The work of Archimedes, like all of Greek mathematics at the time, was grounded in geometry. The geometric approach had two major limitations: it didn't lend itself easily to generalization { nding the area under a parabola doesn't lead easily to nding the area under an arbitrary curve { and it didn't lead easily to a solution of the inverse problem { nding the slope of a tangent line. For two millennia, calculus remained largely dormant, a sleeping beauty, waiting for the magic awakening that was to begin in the watershed year of 1637. During the intervening two thousand years of dormancy, Arabic numerals made their way from the Al-Kaourine Madrassa in Fes, Morocco across the Mediterranean to the Vatican in Rome, brought by Pope Sylvester II (Landau 1958), and algebra made its way across North Africa to Gibraltar to Renaissance Italy. Finally, in 1637, Fermat and Descartes made geometry computable via the coordinate system of analytic geometry, and after that computational innovation it took a mere three short decades before Newton and Leibniz gave us the modern derivative. The core idea of calculus { taking a limit { was known to Archimedes two millennia earlier. What had held things up was not a missing idea so much as a missing engine, a missing crank to turn. The sleeping beauty was awakened not by a magic kiss, but by a cog in the mechanism.

Last Update: 2014-07-08
Subject: General
Usage Frequency: 1
Quality:
Reference: Anonymous
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Dewan Bahasa dan Pustaka

ABSTRACT The research of this study is to discuss the distribution of pteridophytes at Muka Head Field Station, Pantai Acheh, Pulau Pinang. From the study, there were 265 individuals been observed throughout a total of 30 plots (20m x 20m). The mean of fern abundance at EA1M is 11.46 while the mean for EB1M is 9.23. 4 Species were found at the EA1M while 11 species were found at EB1M. The most number of species found is Taenitis blechnoides from the family Taenitidaceae. It can be found at both EA1M and EB1M. Dicranopteris curranii can also be found at both elevation but restricted to only 4 plots ; 1 at EA1M and 3 at EB1M. This is because of the geographical condition factor. Other than that, the species diversity and species evenness are higher at EB1M with a value of 1.392 and 0.605 respectively, while at EA1M the species diversity and species evenness is only 0.353 and 0.321 which is lower than that of EB1M. Taenitis blechnoides has the highest relative abundance and relative frequency in this study hence we can conclude that T. blechnoides were the dominant species found at Muka Head Field Station forest area. On the other hand, a correlation, R2 was calculated to determine the correlation between the fern abundance and the abiotic factors. The abiotic factors that were taken into account are humidity, temperature, light intensity and soil pH. From the data calculated, it shows that was a weak correlation between the two variables, which is the fern abundance and abiotic factors. By using Morisita’s index, the distribution pattern of the fern is clumping since the value is closed to one.

Last Update: 2014-05-28
Subject: General
Usage Frequency: 1
Quality:
Reference: Anonymous

ujian lisan bahasa inggeris

oral english

Last Update: 2014-08-17
Subject: General
Usage Frequency: 1
Quality:
Reference: Anonymous

kuiz bahasa english tahun 4

Quiz language Bahasa Inggeris year 4

Last Update: 2014-08-14
Subject: General
Usage Frequency: 1
Quality:
Reference: Anonymous

bahasa yang kasar dan kotor

coarse language

Last Update: 2014-06-14
Subject: General
Usage Frequency: 1
Quality:
Reference: Anonymous

Ayat

Sentence

Last Update: 2014-08-16
Usage Frequency: 1
Quality:
Reference: Wikipedia

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