Tips to Help Students Study Statistics...

One of the vastly used areas of mathematics is statistics. Statistics are represented in the form of rate changes, percentages, averages, etc. The work of the statisticians involves in a variety of areas, and they work as analysts or researchers. In spite of its importance the subject is not very easy to study. Consequently students who study the subject will have to comprehend the reason behind studying statistics and they should be aware with regard to its usefulness as well as for what it is used. Students should try to understand the new terms that they come across when they take up statistics as their subject of learning. Learning Statistics effectively 1. Statistics might appear limitless however it’s based on a couple of fundamental standards. Concentrate on studying and comprehend these. When you’ve achieved this, you will discover that the rest of your studies are simply a growth of these notions. 2. You will have to set aside at least an hour or two every day, to study stats. Make it a regular habit to cover the portions on the same day you are taught as this would make it easier for you to complete your assignment on time. 3. Once you understand the theory then you can try solving different problems on your own. Do not refer to your textbook or even your class notes. 4. Try to gather some of your classmates and try solving difficult problems. This way when you share your knowledge you will be benefited as well as your doubts can be easily cleared. 5. Conceivably the most significant thing to bear in mind is to keep attempting till you obtain the solution of a problem right. Follow the above steps and practice then...

Significance of Statistical Tests...

Statistics, as a subject, helps us to analyse a wide range of data. Hypothesis testing is a part of Statistics, which has been created to justify or refute assumptions even when no scientific theory exists. These tests can be used to ascertain the correctness of seemingly abstract and qualitative statements. As an example we can use the tests to determine if the number of men suffering from nightmares is more than women, or determining that smoking causes lung cancer. Hypothesis testing plays an important role in making inferences. As a result, these tests are carried out in other branches of studies to arrive at scientific conclusions. To carry out these tests, data is required. When selecting the data, which is usually a sample, utmost care must be taken to ensure that the sample data selected is as representative, of the total population of data, as is practically possible. If the data in the sample does not represent the total population, the hypothesis testing will not yield proper or desired results. There are a variety of techniques that statisticians use to ensure that the data collected is representative of the overall population. There are several hypothesis testing methods. The most common among them are the Chi-squared test, the ‘T’ test, the Z test and the F test. The data is studied to determine which of these tests would be most suitable for it. Typically the testing process involves an initial assumption. Following this analysis is carried out on the data using one of the tests, to determine if the initial assumption is valid. Hypothesis testing has been useful in many spheres of life. However, the results arrived at are required to be used with a degree of caution as incorrect...