Why Should You Consider An Online Master's Degree

If you want to continue your higher education, a master's degree can be a very viable option. Moreover, if you want to proceed with this without actually needing to go to school, you can opt for an online master's degree. In today's fast paced world, people have less and less time. With the advancement of the Internet, there are solutions though. Getting an online degree from the comfort of your own home has never been easier.

If you are already a graduate, you may know that a master's degree will take your knowledge base even further. You will be required to take advanced courses or even write your own thesis. This thesis will be based on your own research, which will be done independently.

Usually, a master degree will advance your career, giving you more possibilities and opening more doors for you. For instance, an M.A. that you might have acquired in Family Counseling will qualify you for a counseling position. Moreover, if you want to make a career in a university yourself, you will definitely need to go through the process of acquiring a master's degree. This is the case of subject like History, Physics or any other academic studies you might want to teach.

Now let's familiarize you with another term. Have you heard of terminal degrees? As the name clearly suggests, these are the king of Master's degrees that require no further study. For instance, the MFA, an abbreviation from Master of Fine Arts, is the final step that painters, sculptors or photographers can take.

The number of hours needed to be taken in order to complete the course varies from subject to subject. For instance, the majority of them will last 3 or 4 semesters (which is roughly 30 hours). But this is not a rule. There are certain Master's degrees that can be acquired only in double the number of hours. Even so, they will not last more than 36 months.

And now let's talk about some of the most important advantages of getting a Master's degree online. First of all, the most obvious one: comfort. Having the ability to study from the comfort of your own home is not something that everyone can do. You will feel more relaxed, you will feel less pressure and more desire to learn overall.

Then, there is the time factor. Studying at home and taking the hours at their own pace is very important for people who already have a full time job. Having a full time job doesn't necessarily mean that you can't continue your education, especially with so many very good universities offering comprehensive online programs.

Some of the best universities that have expanded their horizons and started giving classes online include: University of Phoenix (which also has a branch for international students), Walden University, Capella University, Florida's St. Leo University and many more others. Getting an online Master's degree can be a very important option. Will it help your career? It definitely will. So if you are looking for alternative study options, you need to take this one into serious consideration.

Using the Internet for Statistical Analyses

Statistical analyses are the tests of the various problems of statistics, or the field that records and defines the occurrence of events within a group or population. The study of statistics was an offshoot of the probability theory that was postulated by Blasé Pascal to try to predict and order the occurrence of random events. Probability theory continues to be a fundamental aspect of the study of statistics. However, Statistics is a formal mathematical field that deals with discrete events that occur over time in the realm of large populations of events or individuals.  Statistical analyses deal with numbers on the large scale.

There are a great number of statistical analyses that are used in every day life to calculate the relative risk of an activity, to determine the performance of a particular stock on the stock exchange or to work out the odds of horse racing. It is important to study the various types of statistical analyses to fully understand what type of information they will supply and to what form of problem they are best applied. A thorough understanding of statistical analyses is required to know how to use the tools available to get the information needed from a virtual sea of data and numbers. There is no shortcut or substitution for learning the fundamental concepts and theories behind statistical analyses.

There is fortunately a very good substitute for performing the calculations oneself, which is nearly impossible in most large scale applications.  There are several options on the Internet that provide programs for performing statistical analyses. On the site ubalt.edu you will find all the information necessary for determining just what form of statistical or data analyses you need to do for the application that is in mind, whether it is related to business or has to do with population genetics. The information on the site will guide the user through the various theoretical tests of a situation, instruct one clearly on the type of result the test will yield and tell the user exactly which test to run for the size of the defined population.  This site also has many links to other websites that specialize in performing certain statistical analyses, such as those related to business statistics or health statistics.  There is also a tutorial link to an application for learning to use an Excel program to run Statistical and data analyses.  An additional link is to a website specializing in Time series Analyses as it relates to business forecasting, an indisputably relevant tool.  

The individual performing statistical analyses may want to pursue the link to Computers and Computational Statistics, which will actually allow the individual to run a specific analysis on a specific data set.

Another useful link is the one that explains the principles behind Questionnaire Design and Surveys Sampling, since this all-important feature is the way to select a group or population to analyse. It is important to know that a group must be correctly formed with unifying characteristics for the subsequent data to have any relevance at all.