# data[].attributes.body
Categorizing Data

http://www.regentsprep.org/regents/math/algebra/AD1/DataPrac.htm

# data[].attributes.body
https://padlet.com/mmuvictor/DPS5018_main

# data[].attributes.body
Trim 3, 2015/2016

Q1b, Q2a(i), Q2b

Trim 2, 2015/2016

Section A:

Q2, Q6, Q8, Q9, Q10

Section B:

Q1a, Q1b, Q1d, Q1f

Trim 2, 2014/2015

Section A:

Q3, Q6

Section B:

Q3

Section C:

Q1b(i), Qb(iii), Q1c

# data[].attributes.body
What is Data?

https://www.mathsisfun.com/data/data.html

Qualitative Data

https://www.mathsisfun.com/definitions/qualitative-data.html

Quantitative Data

https://www.mathsisfun.com/definitions/quantitative-data.html

# data[].attributes.body
2.4) Summarizing Distributions: Shape

http://onlinestatbook.com/2/summarizing_distributions/shapesM.html

# data[].attributes.body
+1 Bonus Mark for awesome contribution to help with everyone's learning process :)

# data[].attributes.body
http://www.mathsisfun.com/data/skewness.html

# data[].attributes.body
http://www.mathsisfun.com/data/frequency-distribution.html

# data[].attributes.body
http://www.mathsisfun.com/data/frequency-distribution-grouped.html

# data[].attributes.body
http://www.mathsisfun.com/data/data-discrete-continuous.html

# data[].attributes.body
final 1415.pdf

Section A:

Q2, Q3

Section B:

Q3

Section C:

Q1b(i), Q1b(iii), Q1c

final 1516.pdf

Section A:

Q4, Q7, Q8

Section B:

Q1a

# data[].attributes.headline
Summarized and Detailed Notes for Week 4 Lecture

# data[].attributes.subject
Summarized and Detailed Notes for Week 4 Lecture

# data[].attributes.body
The following topics are covered in this notes:
1.2) Population vs. Sample
1.2) Symbols used to denote various statistics and parameter
1.4) Simple Random Sampling via Dice Rolling
2.3) Graphs and Charts: Histogram
3.1) Measures of Central Tendency: Mean
3.2) Measures of Variation: Standard Deviation
5.2) The Mean and Standard Deviation of a Discrete Random Variable
6) The Normal Distribution
8) Hypothesis Tests about a Population Mean

# data[].attributes.headline
Summarized and Detailed Notes for Week 3 Tutorial

# data[].attributes.subject
Summarized and Detailed Notes for Week 3 Tutorial

# data[].attributes.body
The following topics are covered in this notes:
1.2) Population vs. Sample
1.2) Symbols used to denote various statistics and parameter
1.4) Simple Random Sampling via Coin Flipping
2.3) Graphs and Charts: Histogram
3.1) Measures of Central Tendency: Mean
8) Inferential Statistics: The best estimate for a population mean is the mean of the sample distribution of the sample means

# data[].attributes.body
If the left tail is longer, then the distribution is said to be left-skewed, left-tailed, skewed to the left, or negatively-skewed.

If the right tail is longer, then the distribution is said to be right-skewed, right-tailed, skewed to the right, or positively-skewed.

# data[].attributes.body
Bar Charts

https://www.mathsisfun.com/data/bar-graphs.html

Histogram

https://www.mathsisfun.com/data/histograms.html

Pie Chart

https://www.mathsisfun.com/data/pie-charts.html

Stem and Leaf Plot

https://www.mathsisfun.com/data/stem-leaf-plots.html

Attached is an example of 4 different ways to draw a Stem-and-Leaf Diagram to represent the SAME data.

# data[].attributes.body
2.1) Variables

http://onlinestatbook.com/2/introduction/variablesM.html

2.2 to 2.4) Distributions

http://onlinestatbook.com/2/introduction/distributionsM.html

2.3a) Graphing Qualitative Data

http://onlinestatbook.com/2/graphing_distributions/graphing_qualitativeM.html

2.3b) Graphing Quantitative Data

http://onlinestatbook.com/2/graphing_distributions/quantitativeM.html

2.3c) Stem and Leaf Displays

http://onlinestatbook.com/2/graphing_distributions/stemM.html

2.3d) Histograms

http://onlinestatbook.com/2/graphing_distributions/histogramsM.html

# data[].attributes.headline
Example Application of Frequency Histogram in Cryptography

# data[].attributes.subject
Example Application of Frequency Histogram in Cryptography

# data[].attributes.body
Hi everyone :)

Click on this link to see a 30 second video clip on where Frequency Analysis was used in The Imitation Game (2014):
https://youtu.be/J4J8ak6tM6g

Since I didn't manage to successfully demonstrate how to "break" a classical cipher using frequency analysis during this week's lecture, I thought I might as well follow up with this class demo via online resources instead, so that those who are interested in Cryptography could benefit from investigating how Probability & Statistics can and have been used in Cryptography.

With that said, if you are interested in investigating how Frequency Analysis works, feel free to read the detailed explanation in the link below:
http://crypto.interactive-maths.com/frequency-analysis-breaking-the-code.html#intro

P.S. attached is the SUCCESSFUL demo of how to "break" the classical cipher (taken from the link above) that I failed to "break" during our lecture this week.

Warm regards,
Victor

# data[].attributes.headline
Example Application of Stem-and-Leaf Diagram in Japan

# data[].attributes.subject
Example Application of Stem-and-Leaf Diagram in Japan

# data[].attributes.body
Time table using a stem-and-leaf layout at Minato Mirai train station in Yokohama, Japan. It is a widespread design pattern in the country.

# data[].attributes.body
Post good learning materials over here to get your Bonus Marks :)

# data[].attributes.body
These are what you need to know about Topic 2

Organizing Data

2.1) Variables and Data

2.2) Grouping Data

2.3) Graphs and Charts

2.4) Distributions Shapes

# data[].attributes.body
2.2) Example (Single-value grouping)
2.3) Stem-and-Leaf Diagrams