There are very many summary statistics and the answer depends on which of the ones that are appropriate you are interested in.
There are two types of statistics. One is called descriptive statistics and the other is inferential statistics. Descriptive statistics is when you use numbers. Inferential statistics is when you draw conclusions or make predictions.
Psychological statistics is the application of statistics to psychology.
The statistics (pl.) indicate that statistics (sing.) is a pseudo-science.
The two main forms of statistics are qualitative (descriptive) statistics and quantitative (inferential or inductive) statistics.
There are very many summary statistics and the answer depends on which of the ones that are appropriate you are interested in.
population
Speak to your supervisor about an area that you are interested in and see if (s)he can suggest topics.
2,838,233If interested, you can see below the Yellowstone visitor statistics
The bureau of labor statistics website offers great statistics on a social workers career. If you are looking for specific reviews you might be interested in contacting your local dss office and ask to interview a social worker.
The website Exploringcs.com offers some very good and detailed information for students interested in a further education in computer science. From AP computer science exam statistics to computer science job statistics, you can find all that information on their website.
Google Analytics is a good free resource.
The Minnesota Vikings have a Football Clubhouse on ESPN. They offer not only the team schedule, but other statistics that fans might be interested in.
The two main branches of statistics is Descriptive statistics and inferential statistics.
It is a general belief that "statistics can prove anything." This statement is partly true and false. It is false because mere statistics should not be taken for granted without proper verification. It is true because statistics is often used by unscrupulous people to achieve their personal ends. This results in loss of faith or confidence on statistics or in causing distrust of statistics. Distrust of statistics literally means lack of trust in statistical data, statistical analysis and the conclusions derived from it. We often hear statements like. (i). Statistics is an unreliable science (ii). Statistics are lies of the first order. (iii). There are three type of lies-lies, damned lies and statistics. (iv). Figures do not lie, liars figure. These are expressions of distrust in statistics. These views of statistics stem from the misuse of statistics by the interested parties.Publicity, advertisers of various products, Governments and other organizations are trying to promote their sectional interest using statistics and statistical methods. This causes distrust of statistics. Some of the important reasons of distrust in statistics are the following: (a) Facts based on figures are more convincing. But these figures can be manipulated according to one's wishes. This misguides public causing distrust in statistics. (b) Sometimes statistical analyses are misinterpreted causing distrust in statistics. Supposing the mortality rates of patients are more in Indian hospitals. From this one may wrongly conclude that it is safer to treat the patients at home. This type of misinterpretation also causes distrust in statistics. Statistics are useful tools. One uses them according to his knowledge and experience. Use of statistics makes a statement more convincing. But its misuse causes distrust. So it is necessary that people should be adequately prepared to know the reality or to shift the truth from untruth, good statistics from bad statistics. WI. King has rightly observed "statistics are like clay of which you can make a 'God' or a 'Devil' as you please."
As far as I know it is around 10 million copies world wide (albums and singles). But it is very difficult to find exact numbers, looks that they are not interested in this statistics
In statistics, it is called the 'population'. There are two types of populations: finite and infinite. A finite population can simply be counted such as the number of students in a class. An infinite population, on the other hand, cannot be counted or is very difficult to count such as the residents in a city. Statistics is all about infinite populations because we need to make conclusions about the entire population based on observations of a small sample of that population.