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# All Blog Posts Tagged 'statistics' (44)

### An Intuitive Study of Time Series Analysis

Image source: Statistical Aid: A School of statistics

## Time series data

A time series data is a set of observation on the value that a variable takes of different time, such data may be collected at regular time intervals…

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## Correlation Analysis

The relationship between two or more random variables are generally defined as the correlation. It is the major part of …

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### Can Artificial Intelligence Really be “Explainable”?

I myself do epidemiologic research, which rarely calls for developing machine learning models. Instead, I spend my time developing logistic regression models that I have to be able to interpret for the broader scientific (and sometimes non-scientific) community. I have to be able to explain in some easy, risk-communication way not only the…

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Added by Monika Wahi on December 17, 2020 at 7:47am — No Comments

### How do you know what independent variables to include in a regression model?

After a few biostatistics classes, I began fitting my first logistic regression model using my physician friend’s data on tumors excised from skin cancer patients. I realized that although we were very clear about the dependent variable we were trying to predict – a certain feature of the tumor – I really did not know how to pick the independent…

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Added by Monika Wahi on November 14, 2020 at 10:30am — 1 Comment

### Odds vs Probability vs Chance

Data Points

• There are a number of different terms used for probability in statistics.
• Each has a distinct (and usually precise)…
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Added by Stephanie Glen on October 24, 2020 at 4:30am — No Comments

### Simulated Statistics is the New Black

Over the years I’ve often been asked by beginners where they should start in statistics, what they should do first, and which parts of statistics they should prioritise to get them to where they want to be (which is usually a higher…

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Added by Lee Baker on May 26, 2020 at 6:30am — No Comments

### A Question of Usability

Thinking of data science as merely a technical profession, like programming, may take you away from your goals. Focusing on the usability of mathematics for data science before jumping into full-fledged math courses will save you a lot of time.

I wrote this blog post because I made a few mistakes while starting…

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Added by Arnuld on December 19, 2019 at 4:00am — No Comments

### Statistical Hypothesis Testing – Spinning The Wheel

Knowing when and how to choose the right statistical hypothesis test is no mean feat. It can takes years of learning and practice before you get comfortable with it.

Fortunately, there are ways to shortcut this by having a process, a strategy and a nice, big diagram!

Here I'm going to give you all three!

### ​Getting…

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Added by Lee Baker on July 23, 2019 at 3:30am — No Comments

### A guide to manipulating, analyzing, and visualizing data in R

R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises.

Learn the fundamentals of data analysis in the second edition of Data Analysis with R, authored by data scientist…

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Added by Packt Publishing on May 8, 2018 at 10:30pm — No Comments

# A “quick” introduction to PyMC3 and Bayesian models, Part I

In this post, I give a “brief”, practical introduction using a specific and hopefully relate-able example drawn from real data.…

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Added by Jesus Ramos on May 8, 2018 at 10:00am — No Comments

### Humans and uncertainty

Since their early days, humans have had an important, often antagonistic relationship with uncertainty; we try to kill it everywhere we find it. Without an explanation for many natural phenomena, humans invented gods to explain them, and without certainty of the future, they consulted oracles.

It was…

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Added by Jesus Ramos on May 8, 2018 at 9:00am — No Comments

### Significance of p-value

P – Value

In this blog we will discuss the important functionality of p – value in statistical experiments. Why p – value is the deciding factor for accepting or rejecting a hypothesis we develop before any experiment.

Problem Statement:

You have launched a product (e.g. a phone) in the market. And you get customer feedback that the phone has over heating problem. As the phone is already launched in the market…

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### This is Why Data Scientists Make So Much

If you have ever wondered or still wonder what the best job in Silicon Valley is, which ranks No. 1 on Glassdoor’s best jobs in America list for 2016 and 2017, you can stop now. Also referred to as the sexiest job of the 21st century, it’s data science.

Whether you look at the salary and packages currently being offered for this job, or the rise in demand for these professionals, the numbers still look pretty impressive. According to Glassdoor, data scientists make on average \$128,549…

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Added by Claudia Virlanuta on February 13, 2018 at 9:30am — No Comments

### Hilarious Graphs (and Pirates) Prove That Correlation Is Not Causation

When it comes to storytelling, we have a problem.

It’s not our fault though – as human beings we are hard-wired from birth to look for patterns and explain why they happen. This problem doesn’t go away when we grow up though, it becomes worse the more intelligent we think we are. We convince ourselves that now we are older, wiser, smarter, that our conclusions are closer to the mark than when we were younger (the faster the wind blows the faster the windmill blades…

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Added by Lee Baker on January 31, 2018 at 6:00am — 3 Comments

# DescriptiveStats.OBeu v1.2.1 release on CRAN

We are very pleased to announce DescriptiveStats.OBeu v1.2.1 on CRAN!

`DescriptiveStats.OBeu` is used on OpenBudgets.eu data mininig tool platform to estimate central tendency and dispersion of numeric variables along with their distributions and correlations and the…

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Added by Kleanthis Koupidis on September 30, 2017 at 2:27am — No Comments

### Finding "Gems" in Big Data

(Photo credit:  Rob Lavinsky, iRocks.com – CC-BY-SA-3.0)

In 1945, Count ,Richard Taaffe* a Dublin gem collector, was sorting through a set of spinel gems that he had bought, and found one…

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Added by Peter Bruce on March 30, 2017 at 2:30pm — No Comments

### 5 Free Statistics eBooks You Need to Read This Autumn

Did you have a good, relaxing break over the summer? Are you refreshed and re-energised, looking forward to a new start, a new you and brushing up on your data analysis skills? If so, I’ve thrown together a collection of a few excellent (and free!) statistics eBooks for your Kindle to sharpen up your stats while you’re on the long commute to work. Just try not to read them while driving!

These books require different levels of existing knowledge, and while some are for…

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Added by Lee Baker on August 31, 2016 at 4:00am — 6 Comments

### Conditional Random Fields (CRF): Short Survey

Currently, many of us are overwhelmed with mighty power of Deep Learning. We start to forget about humble graphical models. CRF is not so trendy as LSTM, but it is robust, reliable and worth noting.

In this post, you will find a short summary about CRF (aka Conditional Random Fields) – what is this thing, what is it for and some interesting facts. Enjoy!…

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Added by Nikitinsky Nikita on August 22, 2016 at 5:00am — No Comments

### The 5 Hottest Data Science Blog Posts of the Summer

It’s been a rather quiet summer on Data Science Central with fewer blog posts being published than at other times of the year, but I guess it shouldn’t be too much of a surprise – DSC has had to compete against summer holidays, the Euro 2016 football tournament and the Rio 2016 Olympics.

Of the relatively few that have been published, there have been a few gems. At the time of writing, the 5 blog posts on this list have been read by almost 60,000 of you.

If you haven’t seen any…

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Added by Lee Baker on August 18, 2016 at 5:30am — No Comments

### Brexit: Why Projections Were Wrong

Shame on YouGov! Did their survey really miss the outcome of the Brexit consultation? Not quite. If you hit your finger while hammering a nail into the wall, do not blame the hammer.

The media circuit is responsible for having broadcasted inaccurate information. I must confirm that I am in no way linked to YouGov, the market research agency that supplied most media agencies with projections of the outcome results for the Brexit consultation in the UK, and this article…

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Added by Mirio De Rosa on August 16, 2016 at 10:00pm — 6 Comments

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