Everyday probability and statistics download

For example, after the outbreak of covid, we already knew the second and third waves of this pandemic, and these are spreading as per the predictions. Hence, you can estimate how statistics are useful for us. For example, US governments used the statistical chart to understand which disease has affected their people the most. This helps them to find out the cure for those diseases. Also, they became alert to fight the disease in the upcoming years.

On a day-to-day basis, we conduct quality tests to ensure that our purchase is correct and get the best results from what we spend. We do a sample test of what we expect to buy to get the best. If the sample test that we have done passes the quality test, we want to buy it. Once you are done with the quality testing and proceed to quality improvement, you also need statistics.

The quality improvement center is statistical thinking that reflects the capability of decision-making that depends on data. Statistical thinking depends on three main concepts, that are:.

Insurance is a vast industry. There are hundreds of insurance i. The premium of insurance is based on the statistics. Insurance companies use the statistics that are collected from various homeowners, drivers, vehicle registration offices, and many more. Statistics are widely used in consumer goods products. The reason is consumer goods are daily used products. They also used stats to find out which store needs the consumer goods and when to ship the products.

Even proper statistics decisions are helping the business to make massive revenue on consumer goods. Suppose a business organization wants to find out the number of potential customers in a specific area, their income level and preferences, statistics help them to do so. Apart from this, any business organization can recognize its competitors and trends in the market. Below is the image that helped the Indian government to make better policies related to consumer goods.

The financial market completely relies on the statistical figures. All the stock prices calculate with the help of statistics. It also helps the corporate to manage their finance to do long-term business. For instance, you want to buy the shares of a company, and you do not have an idea about the company, is it good or bad. Different types of statistical calculations such as price to book ratio, price to sale ratio, and price to earnings growth ratio will help you to invest in the right stocks.

Several tools are used for business statistics, which are built on the basis of the mean, median, and mode, the bell curve, and bar graphs, and basic probability. These can be employed for research problems related to employees, products, customer service, and much more.

The business use statistics to calculate which consumer goods are available in the store or not. We can not overlook the uses of statistics in the transportation field. Statistics results regarding transport roadways, waterways, and airways help the government and the nation to build new roads, bridges, waterlines, and airports. With the help of statistics, the government can realize where they need to spend the money. They analyze the statistics problems to decide whether they need to construct new infrastructures or mend the old ones.

Statistical data is always useful for making new policies related to transportation. The below image is helpful to the government for making new transportation rules and regulations. Statistics play an important role in the booming cryptocurrency field.

Cryptocurrency is a digital currency. We pay for the goods and services in the form of bitcoins. And determine the exact price of bitcoin is a difficult thing here. Cryptocurrency has a bright future, and it seems that many investors will invest in this platform in the future. So to evaluate the right price of the bitcoins, statistics is used here.

Below is an example of how to use the statistics concept of maximum likelihood to calculate the standard error of the cryptocurrency. Tourism contributes to the GDP of any nation.

All the countries can generate revenue through tourism. The statistics used in tourism to find out the number of arrivals, departure, expenditure by the tourist, fatal accidents, facilities, etc. The statistics can calculate all these factors. In addition, statistics help to improve tourism and boost the economy. Here are the statistics of how the covid had impacted the hotel occupancy rate in These statistics help to calculate the market revenue of the USA through tourism.

Statistics is essential for all sections of science, as it is amazingly beneficial for decision-making and examining the correctness of the choices that one has made. If one does not understand statistics, it is not possible to know the logical algorithms and find it challenging to develop them. Besides this, they focus on machine learning, especially data mining discovering models and relationships in information for several objectives, like finance and marketing.

Statistics has various uses in the field of robotics. Various techniques can be applied in this field, such as EM, Particle filters, Kalman filters, Bayesian networks, and much more. With the help of new input sensories, the robots continuously update themselves and give priority to the current actions. Reactive controllers depend on sensors to create robot control. Since the mids, a new approach has been used for this purpose: probabilistic robotics.

This approach uses statistics concepts and techniques to integrate imperfect models and sensing seamlessly. Below is an example of how probabilistic robotics are working. There are numerous ways in which statistics are easily implemented, such as details about shrinkage and growth rate for a route.

Apart from this, statistics are used to study traffic decline and growth, the number of accidents due to aerospace failures, etc. Several airline industries use these statistics information to check how they can work to make a better aerospace future. Below is an example of statistical numbers of investigations done in on the International Space Station. Reference: NASA. A data scientist uses different statistical techniques to study the collected data, such as Classification, Hypothesis testing, Regression, Time series analysis, and much more.

Data scientists do proper experiments and get desired results using these statistical techniques. Besides all this, statistics can be utilized for concluding the information quickly and effectively. Therefore, statistics is one of the helpful measures for data scientists to obtain the relevant outputs of the sample space.

Statistics are utilized for quantifying the uncertainty of the estimated skills within the machine learning models. Below is the example of machine learning problem framing using the classification method of statistics.

Statistics and probability both are considered methods of handling the aggregation or ignorance of data. Deep learning can use statistics to get knowledge about abstracting several useful properties and ignorance of the details. Therefore, it can be seen that statistics and probability are the methods to formalize the deep learning process mathematically.

That is why this can be concluded that statistics are basic for deep learning, and it would be better to understand the use of statistics in deep learning and know it. For example, it has been seen that Maximum likelihood is not sufficient for accurate and scalable deep learning.

Here, we can use the concept of statistical regularisation. The term regularization describes the concept of management of complex systems as per the several rules.

These rules support modifying values to solve a problem. Below is an example of how the training set and test set are used for describing why the test set is not used for overfitting the training sets.

Moreover, statistics concepts such as ratios, rates, averages, percentages, and others provide the best method for comparing the two or more phenomena. Using these concepts, the organization is able to draw the necessary outcomes or conclusions. This is how the World Bank and other banks employ the uses of statistics. Not only in the major aspects of a country but also in modern technology, there are still some hidden uses of statistics.

Like in an electric vehicle, statistical data is used to calculate the speed and battery temperature. During the tests, different temperature observations are done. And it has been noticed that the higher temperature slows down comparatively faster at room temperature. To improve the battery degradation, there are different statistical approaches that are employed. These include:. This is how car manufacturers prefer to use the statistics concepts.

And find the importance of statistics in modern technology. It includes interference, superposition, and entanglement for conducting computations. And there are a number of algebraic manipulations which can speed up the manipulation. Therefore, those statistics used for such manipulations can benefit from quantum computing.

For example, in computing, quantum algorithms are used n bits. So, we can say that the uses of statistics are found in almost all spheres of day-to-day life. This blog has provided information about what is statistics, and what are statistical problems in real life.

Now you may be aware of the uses of statistics in daily life. This course is:. And nothing less. To be more specific, we focus on the business implementation of probability concepts.

This translates into a comprehensive course consisting of:. Most of these topics can be found online in one form or another. But we are not bothered by that because we are certain of the outstanding quality of teaching that we provide. What we are really proud of, though, is what comes next in the course. Not only do we have a dedicated video for each one of them, how to determine them, where they are applied, but also how to apply their formulas.

We think that this will be enough to convince you curriculum-wise. But we also know that you really care about WHO is teaching you, too.

We worked hard for over four months to create the best possible Probability course that would deliver the most value to you.