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<channel>
	<title>Math Teacher</title>
	<atom:link href="http://mpowered.nyp.edu.sg/blogs/math-cher/feed/" rel="self" type="application/rss+xml" />
	<link>http://mpowered.nyp.edu.sg/blogs/math-cher</link>
	<description>Just another Learning Community weblog</description>
	<lastBuildDate>Tue, 10 Feb 2009 06:07:54 +0000</lastBuildDate>
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			<item>
		<title>Week 17 &#8212; Revision</title>
		<link>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/02/10/week-17-revision/</link>
		<comments>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/02/10/week-17-revision/#comments</comments>
		<pubDate>Tue, 10 Feb 2009 06:06:41 +0000</pubDate>
		<dc:creator>Kwek Siew Wee</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://mpowered.nyp.edu.sg/blogs/math-cher/?p=129</guid>
		<description><![CDATA[Please note the following:

The exam for EG2008 is 2 hours
Answer 5 out of 7 questions
Be punctual for your exam

The revision notes and exercise can be found below.  All the best to your exam !)
Wk 17 Revision Notes
Wk17 Revision Exercise
]]></description>
			<content:encoded><![CDATA[<p>Please note the following:</p>
<ol>
<li>The exam for EG2008 is 2 hours</li>
<li>Answer 5 out of 7 questions</li>
<li>Be punctual for your exam</li>
</ol>
<p>The revision notes and exercise can be found below.  All the best to your exam !)</p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/02/wk-17-revision-for-exam.pdf">Wk 17 Revision Notes</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/02/wk-17-revision-exercise-for-exam.pdf">Wk17 Revision Exercise</a></p>
]]></content:encoded>
			<wfw:commentRss>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/02/10/week-17-revision/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Week 16 &#8212; Estimating Parameters</title>
		<link>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/02/10/week-16-estimating-parameters/</link>
		<comments>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/02/10/week-16-estimating-parameters/#comments</comments>
		<pubDate>Tue, 10 Feb 2009 05:58:22 +0000</pubDate>
		<dc:creator>Kwek Siew Wee</dc:creator>
				<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://mpowered.nyp.edu.sg/blogs/math-cher/?p=124</guid>
		<description><![CDATA[In week 16, the following topics were discussed:

Finding Confidence Interval of the mean
- use Normal Distribution if   σ2 is known
- use t Distribution if  σ2 is unknown

The materials used during lecture and tutorial lessons can be found below:
Wk 16 Estimating Parameters (handout)
Wk16 Tutorial 12
]]></description>
			<content:encoded><![CDATA[<p>In week 16, the following topics were discussed:</p>
<ol>
<li>Finding Confidence Interval of the mean<br />
- use Normal Distribution if   σ<sup>2</sup> is known<br />
- use t Distribution if  σ<sup>2 </sup>is unknown</li>
</ol>
<p>The materials used during lecture and tutorial lessons can be found below:</p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/02/wk-16-estimating-parameters-handout.pdf">Wk 16 Estimating Parameters (handout)</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/02/wk-16-tutorial-12.pdf">Wk16 Tutorial 12</a></p>
]]></content:encoded>
			<wfw:commentRss>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/02/10/week-16-estimating-parameters/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Week 15 &#8212; Continuous Distribution (Normal); Sampling Distribution</title>
		<link>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/29/week-15-continuous-distribution-normal-sampling-distribution/</link>
		<comments>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/29/week-15-continuous-distribution-normal-sampling-distribution/#comments</comments>
		<pubDate>Thu, 29 Jan 2009 06:39:32 +0000</pubDate>
		<dc:creator>Kwek Siew Wee</dc:creator>
				<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://mpowered.nyp.edu.sg/blogs/math-cher/?p=110</guid>
		<description><![CDATA[In week 15, the following topics were discussed:

Continuous Distribution &#8211; Expressed in terms of function, probability is found using integration, Expected Value E(X), Variance VAR(X)
Special Distribution &#8212; Normal
- symmetrical bell shape curve
- 2 parameters (μ, σ2), where μ is the population mean, and σ is the population standard deviation
- to find the probability, we need to use the [...]]]></description>
			<content:encoded><![CDATA[<p>In week 15, the following topics were discussed:</p>
<ol>
<li>Continuous Distribution &#8211; Expressed in terms of function, probability is found using integration, Expected Value E(X), Variance VAR(X)</li>
<li>Special Distribution &#8212; Normal<br />
- symmetrical bell shape curve<br />
- 2 parameters (μ, σ<sup>2</sup>), where μ is the population mean, and σ is the population standard deviation<br />
- to find the probability, we need to use the Standard Normal table Z ~ N(0,1) where Z = (X &#8211; μ)/σ</li>
<li>Sampling Distribution of the Mean<br />
- distribution of all the sample mean,  X bar<br />
- If X ~ N(μ, σ<sup>2</sup>), then   X bar ~ N(μ, σ<sup>2</sup>/n)<br />
- to find the probability, we need to use the Standard Normal table Z ~ N(0,1) where Z = ( X bar &#8211; μ)/(σ/<img class="tex" src="http://upload.wikimedia.org/math/9/1/5/915ca58b070b0328cd069524c2d487f2.png" alt="\sqrt{\ } \!\," width="18" height="16" />n)</li>
</ol>
<p> </p>
<p>The materials used during lecture and tutorial lessons can be found below:</p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/wk-15-continuous-distribution-handout.pdf">Wk 15 Continuous Distribution (handout)</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/wk-15-sampling-distribution-handout.pdf">Wk 15 Sampling Distribution (handout)</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/wk-15-tutorial-11.pdf">Wk 15 Tutorial 11</a></p>
]]></content:encoded>
			<wfw:commentRss>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/29/week-15-continuous-distribution-normal-sampling-distribution/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Week 14 &#8212; Discrete Distribution (Binomial, Poisson)</title>
		<link>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/29/week-14-discrete-distribution-binomial-poisson/</link>
		<comments>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/29/week-14-discrete-distribution-binomial-poisson/#comments</comments>
		<pubDate>Thu, 29 Jan 2009 06:22:32 +0000</pubDate>
		<dc:creator>Kwek Siew Wee</dc:creator>
				<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://mpowered.nyp.edu.sg/blogs/math-cher/?p=103</guid>
		<description><![CDATA[In week 14, the following topics were discussed:

Discrete Distribution &#8211; Expressed in the form of a table, Expected Value E(X), Variance VAR(X)
Special Distribution &#8212; Binomial
- 2 outcomes, namely success/failure
- 2 parameters (n, p), where n is the number of trials, p is the probability of success
Special Distribution &#8212; Poisson
- average number of outcome per time interval or [...]]]></description>
			<content:encoded><![CDATA[<p>In week 14, the following topics were discussed:</p>
<ol>
<li>Discrete Distribution &#8211; Expressed in the form of a table, Expected Value E(X), Variance VAR(X)</li>
<li>Special Distribution &#8212; Binomial<br />
- 2 outcomes, namely success/failure<br />
- 2 parameters (n, p), where n is the number of trials, p is the probability of success</li>
<li>Special Distribution &#8212; Poisson<br />
- average number of outcome per time interval or per specified region<br />
- 1 parameter (λ Lambda), where λ is the average number of outcome<br />
- Note that λ value will need to be changed according to situations</li>
</ol>
<p>The materials used during lecture and tutorial lessons can be found below:</p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/wk-14-discrete-distribution-handout.pdf">wk14 Discrete Distribution (handout)</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/wk-14-speical-discrete-distribution-handout.pdf">wk14 Speical Discrete Distribution (handout)</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/wk-14-tutorial-9-10.pdf">wk 14 Tutorial 9-10</a></p>
]]></content:encoded>
			<wfw:commentRss>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/29/week-14-discrete-distribution-binomial-poisson/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Common Test Timetable for week 16/17</title>
		<link>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/16/common-test-timetable-for-week-1617/</link>
		<comments>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/16/common-test-timetable-for-week-1617/#comments</comments>
		<pubDate>Fri, 16 Jan 2009 05:28:10 +0000</pubDate>
		<dc:creator>Kwek Siew Wee</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://mpowered.nyp.edu.sg/blogs/math-cher/?p=99</guid>
		<description><![CDATA[The common test timetable for wk 16/17 is attached below:
DECC-DMIT wk 16-17 Common Test Timetable
]]></description>
			<content:encoded><![CDATA[<p>The common test timetable for wk 16/17 is attached below:</p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/decc-dmit-wk-16-17-ctconfirmed.pdf">DECC-DMIT wk 16-17 Common Test Timetable</a></p>
]]></content:encoded>
			<wfw:commentRss>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/16/common-test-timetable-for-week-1617/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Week 13 &#8212; Conditional Probabilities &amp; Descriptive Statistics</title>
		<link>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/12/week-13-conditional-probabilities-descriptive-statistics/</link>
		<comments>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/12/week-13-conditional-probabilities-descriptive-statistics/#comments</comments>
		<pubDate>Mon, 12 Jan 2009 05:32:08 +0000</pubDate>
		<dc:creator>Kwek Siew Wee</dc:creator>
				<category><![CDATA[Probability]]></category>
		<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://mpowered.nyp.edu.sg/blogs/math-cher/?p=88</guid>
		<description><![CDATA[In week 13, the following topics were discussed:

Probability (Addition and Multiplication Rules)
Conditional Probability
Descriptive Statistics
- Graph
- Measure of Location (Mean/Median/Mode)
- Measure of Dispersion (Range/Variance/Standard Deviation)
- Measure of Skewness (Symmetry/Positively Skewed/Negatively Skewed)

The materials used in lecture and tutorial lessons can be found below:
Wk 13 Probabilities (handout2)
Wk 13 Probabilities (handout3)
Wk 13 Tutorial 9
Wk 13 Descriptive Statistics
An interesting link for the [...]]]></description>
			<content:encoded><![CDATA[<p>In week 13, the following topics were discussed:</p>
<ol>
<li>Probability (Addition and Multiplication Rules)</li>
<li>Conditional Probability</li>
<li>Descriptive Statistics<br />
- Graph<br />
- Measure of Location (Mean/Median/Mode)<br />
- Measure of Dispersion (Range/Variance/Standard Deviation)<br />
- Measure of Skewness (Symmetry/Positively Skewed/Negatively Skewed)</li>
</ol>
<p>The materials used in lecture and tutorial lessons can be found below:</p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/wk-13-probabilitieshandout2.pdf">Wk 13 Probabilities (handout2)</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/wk-13-probabilitieshandout3.pdf">Wk 13 Probabilities (handout3)</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/wk-13-tutorial-9.pdf">Wk 13 Tutorial 9</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/wk-13-descriptive-statistics-handout1.pdf">Wk 13 Descriptive Statistics</a></p>
<p>An interesting link for the assignment on probability puzzle: <a href="http://www.stat.sc.edu/~west/javahtml/LetsMakeaDeal.html">Game Show: Lets Make a Deal</a></p>
]]></content:encoded>
			<wfw:commentRss>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/12/week-13-conditional-probabilities-descriptive-statistics/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Week 12 &#8212; Probability</title>
		<link>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/05/week-12-probability/</link>
		<comments>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/05/week-12-probability/#comments</comments>
		<pubDate>Mon, 05 Jan 2009 01:19:58 +0000</pubDate>
		<dc:creator>Kwek Siew Wee</dc:creator>
				<category><![CDATA[Probability]]></category>

		<guid isPermaLink="false">http://mpowered.nyp.edu.sg/blogs/math-cher/?p=85</guid>
		<description><![CDATA[In week 12, the following topics were discussed:

Sample Space and Event
Set Theory
Introduction to Probability

The materials used in lecture can be found below:
wk12 -Probabilities (handout1)
]]></description>
			<content:encoded><![CDATA[<p>In week 12, the following topics were discussed:</p>
<ol>
<li>Sample Space and Event</li>
<li>Set Theory</li>
<li>Introduction to Probability</li>
</ol>
<p>The materials used in lecture can be found below:</p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2009/01/wk-12-probabilitieshandout1.pdf">wk12 -Probabilities (handout1)</a></p>
]]></content:encoded>
			<wfw:commentRss>http://mpowered.nyp.edu.sg/blogs/math-cher/2009/01/05/week-12-probability/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Week 8 &#8212; Revision</title>
		<link>http://mpowered.nyp.edu.sg/blogs/math-cher/2008/12/01/week-8-revision/</link>
		<comments>http://mpowered.nyp.edu.sg/blogs/math-cher/2008/12/01/week-8-revision/#comments</comments>
		<pubDate>Mon, 01 Dec 2008 10:02:45 +0000</pubDate>
		<dc:creator>Kwek Siew Wee</dc:creator>
				<category><![CDATA[Series]]></category>

		<guid isPermaLink="false">http://mpowered.nyp.edu.sg/blogs/math-cher/?p=68</guid>
		<description><![CDATA[In week 8, we revised the following topics:

Integration by parts
Sequence and Series (including summation notation, AP, GP)
Binomial Series
Maclaurin Series
Fourier Series
Fourier Transform

The materials used in lecture and tutorial lessons can be found below:
EG2008 Common Test Revision
wk8 Revision 1
Wk8 Revision 2
Wk8 06S2 Common Test-1
Wk8 06s2 Common Test-2
]]></description>
			<content:encoded><![CDATA[<p>In week 8, we revised the following topics:</p>
<ol>
<li>Integration by parts</li>
<li>Sequence and Series (including summation notation, AP, GP)</li>
<li>Binomial Series</li>
<li>Maclaurin Series</li>
<li>Fourier Series</li>
<li>Fourier Transform</li>
</ol>
<p>The materials used in lecture and tutorial lessons can be found below:</p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2008/12/eg2008-common-test-revision.pdf">EG2008 Common Test Revision</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2008/12/wk8-revision-1.pdf">wk8 Revision 1</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2008/12/wk8-revision-2.pdf">Wk8 Revision 2</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2008/12/wk8-06s2commontest-1.pdf">Wk8 06S2 Common Test-1</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2008/12/wk8-06s2commontest-2.pdf">Wk8 06s2 Common Test-2</a></p>
]]></content:encoded>
			<wfw:commentRss>http://mpowered.nyp.edu.sg/blogs/math-cher/2008/12/01/week-8-revision/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Week 7 &#8212; Fourier Transform</title>
		<link>http://mpowered.nyp.edu.sg/blogs/math-cher/2008/12/01/week-7-fourier-transform/</link>
		<comments>http://mpowered.nyp.edu.sg/blogs/math-cher/2008/12/01/week-7-fourier-transform/#comments</comments>
		<pubDate>Mon, 01 Dec 2008 09:57:37 +0000</pubDate>
		<dc:creator>Kwek Siew Wee</dc:creator>
				<category><![CDATA[Series]]></category>

		<guid isPermaLink="false">http://mpowered.nyp.edu.sg/blogs/math-cher/?p=64</guid>
		<description><![CDATA[In week 7, the following topics were discussed:

Tutorial 7 &#38; 8 on Fourier Transform
Fourier Transform

The materials used in lecture and tutorial lessons can be found below:
Wk7 Tutorial 7-8 Fourier Transform
Wk7 Fourier Transform
]]></description>
			<content:encoded><![CDATA[<p>In week 7, the following topics were discussed:</p>
<ol>
<li>Tutorial 7 &amp; 8 on Fourier Transform</li>
<li>Fourier Transform</li>
</ol>
<p>The materials used in lecture and tutorial lessons can be found below:</p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2008/12/wk7-tutorial-7-8-fourier-transform.pdf">Wk7 Tutorial 7-8 Fourier Transform</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2008/12/wk7-fourier-transform.pdf">Wk7 Fourier Transform</a></p>
]]></content:encoded>
			<wfw:commentRss>http://mpowered.nyp.edu.sg/blogs/math-cher/2008/12/01/week-7-fourier-transform/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Week 6 &#8212; Fourier Series in Complex Form</title>
		<link>http://mpowered.nyp.edu.sg/blogs/math-cher/2008/12/01/week-6-fourier-series-in-complex-form/</link>
		<comments>http://mpowered.nyp.edu.sg/blogs/math-cher/2008/12/01/week-6-fourier-series-in-complex-form/#comments</comments>
		<pubDate>Mon, 01 Dec 2008 09:55:16 +0000</pubDate>
		<dc:creator>Kwek Siew Wee</dc:creator>
				<category><![CDATA[Series]]></category>

		<guid isPermaLink="false">http://mpowered.nyp.edu.sg/blogs/math-cher/?p=58</guid>
		<description><![CDATA[In week 6, the following topics were discussed:

Tutorial 6 on Fourier Series for Odd and Even Function
Fourier Series &#8212; application
Fourier Series in Complex Form

The materials used in lecture and tutorial lessons can be found below:
Wk6 Tutorial 6-1 Fourier Series (Even and Odd)
Wk6 Tutorial 6-2 Fourier Series (Even and Odd)
Wk6 Fourier Series (handout 3)
Wk6 Fourier Series in Complex [...]]]></description>
			<content:encoded><![CDATA[<p>In week 6, the following topics were discussed:</p>
<ol>
<li>Tutorial 6 on Fourier Series for Odd and Even Function</li>
<li>Fourier Series &#8212; application</li>
<li>Fourier Series in Complex Form</li>
</ol>
<p>The materials used in lecture and tutorial lessons can be found below:</p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2008/12/wk6-tutorial-6-1-fourier-series-even-and-odd.pdf">Wk6 Tutorial 6-1 Fourier Series (Even and Odd)</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2008/12/wk6-tutorial-6-2-fourier-series-even-and-odd.pdf">Wk6 Tutorial 6-2 Fourier Series (Even and Odd)</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2008/12/wk6-fourier-series-handout-3.pdf">Wk6 Fourier Series (handout 3)</a></p>
<p><a href="http://mpowered.nyp.edu.sg/blogs/math-cher/files/2008/12/wk6-fourier-series-in-complex-form-handout.pdf">Wk6 Fourier Series in Complex Form (handout)</a></p>
]]></content:encoded>
			<wfw:commentRss>http://mpowered.nyp.edu.sg/blogs/math-cher/2008/12/01/week-6-fourier-series-in-complex-form/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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