- Aimed at practitioners
- The presentation is as non-mathematical as possible
- Includes many examples of the use of statistical functions in spreadsheets
- Employs a realistic sample survey as an exemplar throughout the book
- Fills a gap in the existing literature on statistics
About this Textbook:
This book was written for those who need to know how to collect, analyze and present data. It is meant to be a first course for practitioners, a book for private study or brush-up on statistics, and supplementary reading for general statistics classes. The book is untraditional, both with respect to the choice of topics and the presentation: Topics were determined by what is most useful for practical statistical work, and the presentation is as non-mathematical as possible. The book contains many examples using statistical functions in spreadsheets. In this second edition, new topics have been included e.g. within the area of statistical quality control, in order to make the book even more useful for practitioners working in industry.
About the Author:
Birger Stjernholm Madsen has a Master of Science in Statistics and Mathematics.
He has several years of experience as a statistician at major Danish companies within several industries as well as within national statistics.
He has also taught statistics for several years at University of Copenhagen and has held hundreds of statistics courses for various audiences throughout decades. This book is a direct result of his teaching.
The book is available here.
VR is Not Stalled
Relative to what? What is the model of growth that innumerable tech journalists compare VR to and conclude it is failing, or more charitably, that it has stalled?
Is it TV sets, or home computers, or iPhones? I don’t really care.
If this is stalled, I hope it stays stalled forever.
I don’t use virtual reality every day, like I use an iPhone or used to use a TV set. I am in virtual reality every day.
I hang out with friends there. I help lead gatherings where people talk about stuff that matters and is hard to talk about IRL. I also go to parties there. And fly.
All this time, and in all the different things I do in VR, no corporation is making any money off me. Yet. Probably I am being tracked at some level, but it’s minimal. All the VR numbers are minimal at this point compared to, say, Facebook.
When people say VR is stalled, what they are really saying is, there is no sufficiently aggregated mass market, yet (because it is assumed to be inevitable), that can be objectified and commodified and targeted in order to sell stuff.
Aw, too bad. What a disappointment.
You can see it in the headset packaging. Logos of the familiar brands, implicitly telling us as we unbox our new device that we are meant to consume content from the same old same old, and pay for it.
You can see it in the set-up instructions, that refer to a ‘Safe Play Area,” as if that is all we are capable of. Play. That pisses me off so much.
Go Play With Yourselves, you greedy bastards who think your fellow humans exist to be exploited by you. We aren’t kids. We’re not playing. We can do better than buy your crap. We will if we feel like it for light entertainment on the side, but you will never be the main event, not if I can help it.
Virtual Reality and all synthetic realities give us a way to connect deeply with each other that no medium has ever done before. When we are in virtual worlds together, We Are Together, and we feel able to communicate very deeply and freely.
Goddamn it, This Is Not A Game!
It is a real chance to build new communities and even new worlds where we treat each other the way we want to be treated.
And it is going just fine.
Every day more people discover what is actually happening on social VR platforms, as opposed to what journalists tell us isn’t happening. It is growing at a perfect pace to integrate newcomers, welcome them, show them what the culture is like.
I’m very pleased that the growth curve is not more attractive to investors betting on The Next Big Thing.
Here’s an Idea: What if The Next Big Thing is People?
People are endlessly entertaining. Put into the right world, we can get along and have meaningful experiences that make everyone feel good. We’re free software for each other to be with.
Right, I know I sound like a naive young jerk, which I am. I just happen to be a 71 year old naive young jerk who has been around some and who has been an early adopter of all media technologies since about 1956. I’ve seen how it goes. I was lovin’ my GeoCities websites back in 1995. The bullshit that we have now isn’t what I thought was going to happen.
I know we are dancing with the devil now in VR.
Whatever critical mass been achieved that I am proclaiming to be, ‘fine,’ has come about in no small part through the efforts and the multi-billion dollar investment ultimately by one super powerful human, Mark Zuckerberg. I don’t think any one person should have that kind of power and I definitely don’t believe that one greedy and fraud-prone entity should own all the data that VR activity generates.
The reason I think VR is going just right is specifically because Zuck can’t make a ton of money off us yet. I think people who want to do more in virtual worlds than consume commodified crap are finding each other and building relationships and networks. I know the monopoly control-freak capitalists are coming after us, coming after me.
We can stay a step ahead of them. Facebook owes its power to the cumulative decision by lots of people to give attention to one app, one website, of all the apps and websites out there. They are losing; in fact, they have already lost. Virtual Reality is actually Facebook’s life preserver. I have no idea what’s going to happen.
I think there will be open source VR platforms that will be subscriber-supported in kind of a Bernie Sanders-style broad-based approach. I think there will be new generations of headsets and other devices that could be kickstarted and even cooperatively owned businesses. Capitalists baiting the trap with free cheese isn’t the only way things get developed.
We could use some more time, so please keep spreading the news of what an under-performer the whole VR thing turned out to be. We’re not ready for Coca-Cola ads on every virtual corner yet, so yeah, best for the marketing folks to sneer.
By the time they figure it out, I hope we’ll be gone to other worlds that they will also find to be sorely lacking in upside potential.
Join Hands with Instagram’s New Algorithm to Boost Your Business’s User Engagement
👉 Most people are not at all happy with the latest 📸 Instagram algorithm. However, if you want to make the most of your business, you should understand how it works. The trick here is you must work with its algorithm and not go against it here; it is easy for your know-how. 👇🔻
🚩This post will guide you on how the 🆕 new Instagram algorithm works and how you can use it for the advantage of your business-
How does the new Instagram algorithm work?
The new 📸 Instagram ♀️ algorithm is a mystery to many users on the platform. It no longer functions at a slow pace as it did in the past. To score high on Instagram today, you need to be extremely diligent as a business owner. The algorithm needs to be fully optimized so that you get success in the platform. So, read and remember the following factors to help you determine how your posts can perform well to boost user engagement and sales revenue for your business with success-
⦁ The volume of social engagement you receive -: Note, your posts with the maximum number of shares, views, comments, etc., will rank high in the Instagram feed over others. When your post receives a lot of comments and likes, the Instagram platform gets a signal that it is engaging to users and has high-quality content. It wants more users to see it, and the algorithm on the platform will display it to other users online.
However, here again, there is a catch. It is not only the engagement that Instagram considers now; it is how fast your Instagram post engages the readers in some cases. Trending hashtags on Instagram, for instance, is the best-known example of the above. The volume of engagement you get for your business posts is important; however, how quickly you get this engagement is even more important!
👉▶Tip- You should discover when the best time of the day to post is. In this way, you can schedule posts targeted at that time only. You should post when most users can see it. This increases your chances of boosting engagement faster, and the Instagram algorithm as it knows what somebody likes on Instagram and will take over from here to share it with those users who will ✌ ⚡ like, share and comment on your post.
⦁ How long are people looking at your post on Instagram -: If you see the algorithm that Facebook uses, it takes into account how long users look at your post and spend time interacting with its content. Instagram is no different! Its algorithm will take a look at the duration of time that users spend on your post too. This is again, another important factor that Instagram uses to boost posts.
👉▶Tip- Here, you should craft a great 📸 Instagram caption for your post to boost user engagement. If your Instagram caption is engaging, users will want to read it or click on the button that says “more” to spend more time on your post, and in this way, you can boost more engagement with success on 📸 Instagram.
This is why Boomerangs and videos are generally posted in the 📹 video format. This makes them perform well with the Instagram algorithm. Users take more time to watch them toll the end. Another great way for you to make users stay on your posts is to swipe up CTA action for them to view more. This is another great strategy you can use for your business to boost engagement.
⦁ When did you post your photo?-: This is another factor that influences how the 📸 Instagram algorithm works for your business is determining the time of the post. It depends on how often you use the 📲 app. In the past, the algorithm used to give you insights into the recent posts; however, if you tend to log on to Instagram just a few times in one week, it will show posts that have been posted recently. You might even get likes from a previous post that you published a few days ago. The target here is to keep users updated on the posts they might have missed due to the fact that they did not log in regularly.
👉 This means that users can see your posts now for longer periods.
⦁ The sort of content you post also influences engagement – Think about if 📸 Instagram only focused on content with the optimal engagement; users would only see that content every time they logged into 📸 Instagram. However, this is not the case with the Instagram algorithm.
For instance, the content 👥 users’ genre searches for in the platform also influence the algorithm of how Instagram works. If a user is a fan of sports, says the NBA and sees that genre of content regularly, Instagram will immediately catch on to this and bring the user more similar content related to sports and the NBA. It knows that the user will be interested in such posts and perhaps bring news and updates of the LA Lakers to boost 👤 user engagement and satisfaction.
⦁ Accounts that users search for -: Like the above, the accounts that users search for also determines how the 📸 Instagram algorithm works. This is why when users search a specific 🧾 account many times; Instagram will bring more such content from other accounts to that user. This is why they see it often in their Instagram feeds.
From the above, it is evident that if you want to work with the new Instagram algorithm, you must understand how it works and optimize your posts to help it boost your business. In the past, the feed on Instagram was chronological; however, things have changed now.
🟥 So, ensure that your CTA is strong; you use the right hashtags, post at the best time, and make your feed on Instagram as attractive as possible. In this way, you can boost user engagement, lead conversions, sales, and of course, gain a strategic edge in the market as well.
↘ Source: Ron Johnson. Ron is a Marketer. He always shares his tips on trendy marketing tricks. He always implements new tricks in his field.
Top 10 Big Data trends of 2020
During the last few decades, Big Data has become an insightful idea in all the significant technical terms. Additionally, the accessibility of wireless connections and different advances have facilitated the analysis of large data sets. Organizations and huge companies are picking up strength consistently by improving their data analytics and platforms.
2019 was a major year over the big data landscape. In the wake of beginning the year with the Cloudera and Hortonworks merger, we’ve seen huge upticks in Big Data use across the world, with organizations running to embrace the significance of data operations and orchestration to their business success. The big data industry is presently worth $189 Billion, an expansion of $20 Billion more than 2018, and is set to proceed with its rapid growth and reach $247 Billion by 2022.
It’s the ideal opportunity for us to look at Big Data trends for 2020.
Chief Data Officers (CDOs) will be the Center of Attraction
The positions of Data Scientists and Chief Data Officers (CDOs) are modestly new, anyway, the prerequisite for these experts on the work is currently high. As the volume of data continues developing, the requirement for data professionals additionally arrives at a specific limit of business requirements.
CDO is a C-level authority at risk for data availability, integrity, and security in a company. As more businessmen comprehend the noteworthiness of this job, enlisting a CDO is transforming into the norm. The prerequisite for these experts will stay to be in big data trends for quite a long time.
Investment in Big Data Analytics
Analytics gives an upper hand to organizations. Gartner is foreseeing that organizations that aren’t putting intensely in analytics by the end of 2020 may not be ready to go in 2021. (It is expected that private ventures, for example, self-employed handymen, gardeners, and many artists, are excluded from this forecast.)
The real-time speech analytics market has seen its previously sustained adoption cycle beginning in 2019. The idea of customer journey analytics is anticipated to grow consistently, with the objective of improving enterprise productivity and the client experience. Real-time speech analytics and customer journey analytics will increase its popularity in 2020.
Multi-cloud and Hybrid are Setting Deep Roots
As cloud-based advances keep on developing, organizations are progressively liable to want a spot in the cloud. Notwithstanding, the process of moving your data integration and preparation from an on-premises solution to the cloud is more confounded and tedious than most care to concede. Additionally, to relocate huge amounts of existing data, organizations should match up to their data sources and platforms for a little while to months before the shift is complete.
In 2020, we hope to see later adopters arrive at a conclusion of having multi-cloud deployment, bringing the hybrid and multi-cloud philosophy to the front line of data ecosystem strategies.
Actionable Data will Grow
Another development concerning big data trends 2020 recognized to be actionable data for faster processing. This data indicates the missing connection between business prepositions and big data. As it was referred before, big data in itself is futile without assessment since it is unreasonably stunning, multi-organized, and voluminous. As opposed to big data patterns, ordinarily relying upon Hadoop and NoSQL databases to look at data in the clump mode, speedy data mulls over planning continuous streams.
Because of this data stream handling, data can be separated immediately, within a brief period in only a single millisecond. This conveys more value to companies that can make business decisions and start processes all the more immediately when data is cleaned up.
Continuous Intelligence is a framework that has integrated real-time analytics with business operations. It measures recorded and current data to give decision-making automation or decision-making support. Continuous intelligence uses several technologies such as optimization, business rule management, event stream processing, augmented analytics, and machine learning. It suggests activities dependent on both historical and real-time data.
Gartner predicts more than 50% of new business systems will utilize continuous intelligence by 2022. This move has begun, and numerous companies will fuse continuous intelligence during 2020 to pick up or keep up a serious edge.
Machine Learning will Continue to be in Focus
Being a significant innovation in big data trends 2020, machine learning (ML) is another development expected to affect our future fundamentally. ML is a rapidly developing advancement that used to expand regular activities and business processes
ML projects have gotten the most investments in 2019, stood out from all other AI systems joined. Automated ML tools help in making pieces of knowledge that would be difficult to separate by various methods, even by expert analysts. This big data innovation stack gives faster results and lifts both general productivity and response times.
Abandon Hadoop for Spark and Databricks
Since showing up in the market, Hadoop has been criticized by numerous individuals in the network for its multifaceted nature. Spark and managed Spark solutions like Databricks are the “new and glossy” player and have accordingly been picking up a foothold as data science workers consider them to be as an answer to all that they disdain about Hadoop.
However, running a Spark or Databricks work in data science sandbox and then promoting it into full production will keep on facing challenges. Data engineers will keep on requiring more fit and finish for Spark with regards to enterprise-class data operations and orchestration. Most importantly there are a ton of options to consider between the two platforms, and companies will benefit themselves from that decision for favored abilities and economic worth.
In-memory computing has the additional advantage of helping business clients (counting banks, retailers, and utilities) to identify patterns rapidly and break down huge amounts of data without any problem. The dropping of costs for memory is a major factor in the growing enthusiasm for in-memory computing innovation.
In-memory innovation is utilized to perform complex data analyses in real time. It permits its clients to work with huge data sets with a lot more prominent agility. In 2020, in-memory computing will pick up fame because of the decreases in expenses of memory.
IoT and Big Data
There are such enormous numbers of advancements that expect to change the current business situations in 2020. It is hard to be aware of all that, however, IoT and digital gadgets are required to get a balance in big data trends 2020.
The function of IoT in healthcare can be seen today, likewise, the innovation joining with gig data is pushing companies to get better outcomes. It is expected that 42% of companies that have IoT solutions in progress or IoT creation in progress are expecting to use digitized portables within the following three years.
Digital Transformation Will Be a Key Component
Digital transformation goes together with the Internet of Things (IoT), artificial intelligence (AI), machine learning and big data. With IoT connected devices expected to arrive at a stunning 75 billion devices in 2025 from 26.7 billion presently, it’s easy to see where that big data is originating from. Digital transformation as IoT, IaaS, AI and machine learning is taking care of big data and pushing it to regions inconceivable in mankind’s history.
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