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~Krishna Dagli

Monday, March 15, 2010. Measure of Center: Mean Vs. Median. So now we know that to measure center of a distribution we have two most common numerical measures; Mean. Lets understand difference between two with an example. Assume we have following two data sets:. Data set A - 64 65 66 68 70 71 73 Data set B - 64 65 66 68 70 71 730. Please observe that only last value changes in these two sets, ie. 73 in data set A becomes 730 in data set B. Types of distributions and mean and median:. The mean is very sen...

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~Krishna Dagli | krishnadagli.blogspot.com Reviews

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Monday, March 15, 2010. Measure of Center: Mean Vs. Median. So now we know that to measure center of a distribution we have two most common numerical measures; Mean. Lets understand difference between two with an example. Assume we have following two data sets:. Data set A - 64 65 66 68 70 71 73 Data set B - 64 65 66 68 70 71 730. Please observe that only last value changes in these two sets, ie. 73 in data set A becomes 730 in data set B. Types of distributions and mean and median:. The mean is very sen...

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~Krishna Dagli | krishnadagli.blogspot.com Reviews

https://krishnadagli.blogspot.com

Monday, March 15, 2010. Measure of Center: Mean Vs. Median. So now we know that to measure center of a distribution we have two most common numerical measures; Mean. Lets understand difference between two with an example. Assume we have following two data sets:. Data set A - 64 65 66 68 70 71 73 Data set B - 64 65 66 68 70 71 730. Please observe that only last value changes in these two sets, ie. 73 in data set A becomes 730 in data set B. Types of distributions and mean and median:. The mean is very sen...

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krishnadagli.blogspot.com

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~Krishna Dagli: March 2010

https://krishnadagli.blogspot.com/2010_03_01_archive.html

Monday, March 15, 2010. Measure of Center: Mean Vs. Median. So now we know that to measure center of a distribution we have two most common numerical measures; Mean. Lets understand difference between two with an example. Assume we have following two data sets:. Data set A - 64 65 66 68 70 71 73 Data set B - 64 65 66 68 70 71 730. Please observe that only last value changes in these two sets, ie. 73 in data set A becomes 730 in data set B. Types of distributions and mean and median:. The mean is very sen...

2

~Krishna Dagli: January 2009

https://krishnadagli.blogspot.com/2009_01_01_archive.html

Thursday, January 8, 2009. So far we used scatterplots to study the relationships between two quantitative variables, we studied the overall pattern of the relationship by looking at its direction (positive, negative, or neither), form (linear, curvilinear etc), and strength (eg. stronger, weaker). Lets have a look at following two images (from the course website) to see why numerical measures are required along with scatterplot to assess strength of linear relationship. The purpose of this example was t...

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~Krishna Dagli: July 2008

https://krishnadagli.blogspot.com/2008_07_01_archive.html

Thursday, July 17, 2008. Learning Statistics Using R: Role Type Classification : Case II (1 of 2). Case II of our role type classification includes study of relationship between a Categorical Explanatory and a Categorical Response variable. We start with an example from the course web site to explore relationship between two categorical variables. More specifically,are men and women just as likely to think their weight is about right? As I could not find raw data for these example; we will directly use r...

4

~Krishna Dagli: April 2008

https://krishnadagli.blogspot.com/2008_04_01_archive.html

Tuesday, April 29, 2008. Learning Statistics using R: Measure of Spread. Most of the material here is taken from the course website! To describe a distribution along with measure of center we also need to know spread also known as variability of distribution. As course describes there are 3 commonly used measures of spread/variability, each describing spread differently:. 80 (max) - 21 (min) = 59 (Range). Posted by Krishna Dagli. Links to this post. Monday, April 28, 2008. Mean and Median are measure of ...

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~Krishna Dagli: June 2008

https://krishnadagli.blogspot.com/2008_06_01_archive.html

Wednesday, June 18, 2008. Learning Statistics using R: Role-type classification (1 of 2). Most of the material here is taken from the course website! The second module of the course explains the relationship between two variables. In earlier sections we learned how to work with a distribution of a single variable, either quantitative or categorical. Response variable: the outcome of study. Explanatory varible: the variable that claims to explain, predict or affect the response. How does the number of cal...

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HOW TO DO PORTFOLIO REBALANCING « quantsguru

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~Krishna Dagli

Monday, March 15, 2010. Measure of Center: Mean Vs. Median. So now we know that to measure center of a distribution we have two most common numerical measures; Mean. Lets understand difference between two with an example. Assume we have following two data sets:. Data set A - 64 65 66 68 70 71 73 Data set B - 64 65 66 68 70 71 730. Please observe that only last value changes in these two sets, ie. 73 in data set A becomes 730 in data set B. Types of distributions and mean and median:. The mean is very sen...

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