Image Source: Statistical Aid: A School of Statistics
Added by Muhammad Touhidul Islam on February 25, 2021 at 9:14pm — No Comments
Image Source: Statistical Aid: A School of Statistics
Simple random sampling is considered the easiest and most popular method of …Continue
Added by Muhammad Touhidul Islam on February 13, 2021 at 1:28am — No Comments
Added by Muhammad Touhidul Islam on February 11, 2021 at 12:58pm — No Comments
As an academic discipline, the rate of maturation for data science should be measured in light years. Although it's really only about 10 years old as a field of study – with the first Ph.D. program in the country emerging just four years ago – most, major universities across the world have integrated data science into their portfolio of degree options. Universities…Continue
Added by Jennifer Lewis Priestley on February 12, 2019 at 10:52am — No Comments
This article has 4 sections:
The full code and theory can be found here: …
Added by Tansel Arif on February 5, 2019 at 4:55am — No Comments
This article is about Intuitive explanation of Degrees of Freedom and How Degrees of Freedom affects Sudoku.
A lot of aspiring Data Scientists take courses on statistics and get befuddled with the concept of Degrees of Freedom. Some memorize it by rote as ‘n-1'.
But there is a intuitive reason why it is ‘n-1’.…Continue
October is historically the most volatile month for stocks, but is this a persistent signal or just noise in the data?
Stocks, Significance Testing & p-Hacking. Follow me on Twitter (twitter.com/pdquant) for more. Over the past 32 years, October has been the most volatile month on average for the S&P500 and December the least, in this article we will use simulation to assess the…Continue
Added by Patrick David on January 18, 2019 at 5:30am — No Comments
Imagine you are a company selling a fast-moving consumer good in the market.
Now, how to find out in which state the customers would be after 6…Continue
Imagine that one day, you see people are queuing up in front of Bank A; so you ask the staff at the counter, you are told that they are offering anyone (regardless of their credit history) a loan of $100,000 at a fixed annual rate at 2%. You then look around, the Bank B next door offers 1-year term deposit with a fixed annual rate at 3% for the same amount ($100,000). After 5 minutes' waiting, you sign for the loan from Bank…Continue
As we all know in today’s world of quick results and insights nobody wants to spend time in understanding the core concepts of certain statistical terms while performing analytical routine. One statistical term that is talked a lot but known very less in terms of its mechanics is R Squared statistics a.k.a. coefficient of determination. This statistics helps to measure the closeness of the data to the fitted line of regression.
It is also worth mentioning that by squaring the…Continue
Added by Sunil Kappal on July 11, 2018 at 3:35am — No Comments
Statistical Analysis is a way of collecting, presenting and exploring large amounts of data in order to discover underlying patterns and trends. It can be especially useful in banking, manufacturing or retail where knowing the future patterns might greatly benefit the businesses. Not without reason, it resembles and can cooperate with blockchain - a new tech…Continue
Added by James Mason on April 18, 2018 at 2:30pm — No Comments
What a weird question. That’s what you would have thought after reading the headline. Perhaps you thought the word “NOT” was accidental.
Hmm, for past few years many of us have come across articles like
Many a blogs and articles are written on how to become a Data Scientist. The list normally goes like this
While there is nothing wrong in the path illustrated above, it is not the…Continue
Remember the …Continue
It sounds almost heretical to ask the question: Is there too much scientific research?…Continue
Added by Peter Bruce on November 27, 2017 at 3:00pm — No Comments
What’s the first thing that comes to mind when you hear the following phrases?
These phrases probably evoke thoughts such as “fake,” “not real,” or even “shabby.” Artificial is such a harsh adjective.…
Added by Bill Schmarzo on October 30, 2017 at 6:30pm — No Comments
A data scientist needs to be Critical and always on a lookout for something that misses others. So here is some advice that one can include in the day to day data science work to be better at their work:
1. Beware of the Clean Data Syndrome
You need to ask yourself questions even before you start working on the data. **Does this data make sense?** Falsely assuming that the data is clean could lead you towards wrong Hypotheses. Apart from that, you can discern a…Continue
Essentially good hypotheses lead decision-makers like you to new and better ways to achieve your business goals. When you need to make decisions such as how much you should spend on advertising or what effect a price increase will have your customer base,…Continue
Ever wonder how you can create meaningful insights with your data? Tired of being asked what's your big data strategy, are you doing predictive analytics, or how you are making use of the latest technologies? There is a way for you to get what you need with Data Science. The key to new knowledge is to make sure you use Data Science in your organization.…Continue
Added by Damian Mingle on January 4, 2017 at 5:30am — No Comments
It is not only about understanding about statistics, it is also about implementing the correct statistical approach or method. In this brief article I will showcase some common statistical blunders that we generally make and how to avoid them.
To make this information simple and consumable I have divided these errors into two parts: