Data Planet Includes data from local, state and international governments and organizations. Subject categories include criminal justice, education, energy, food and agriculture, government, health, labor and employment, natural resources and environment, and more. Datasets are customizable, allowing you to select variables of interest such as age, gender, and race.
Statistics as a discipline is considered indispensable in almost all spheres of human knowledge. There is hardly any branch of study which does not use statistics.
Scientific, social and economic studies use statistics in one form or another. These disciplines make-use of observations, facts and figures, enquiries and experiments etc.
Statistics studies almost all aspects in an enquiry. It mainly aims at simplifying the complexity of information collected in an enquiry.
It presents data in a simplified form as to make them intelligible. It analyses data and facilitates drawal of conclusions. Now let us briefly discuss some of the important functions of statistics.
Statistics presents facts and figures in a definite form. That makes the statement logical and convincing than mere description.
It condenses the whole mass of figures into a single figure. This makes the problem intelligible. Reduces the Complexity of data: Statistics simplifies the complexity of data.
The raw data are unintelligible. We make them simple and intelligible by using different statistical measures. Some such commonly used measures are graphs, averages, dispersions, skewness, kurtosis, correlation and regression etc.
These measures help in interpretation and drawing inferences. Therefore, statistics enables to enlarge the horizon of one's knowledge. Comparison between different sets of observation is an important function of statistics. Comparison is necessary to draw conclusions as Professor Boddington rightly points out.
So to determine the efficiency of any measure comparison is necessary. Statistical devices like averages, ratios, coefficients etc. Formulating and testing of hypothesis is an important function of statistics.
|Where to find Data and Statistics by Topic||Data Planet Includes data from local, state and international governments and organizations. Subject categories include criminal justice, education, energy, food and agriculture, government, health, labor and employment, natural resources and environment, and more.|
This helps in developing new theories. So statistics examines the truth and helps in innovating new ideas. Statistics helps in formulating plans and policies in different fields. Statistical analysis of data forms the beginning of policy formulations.
Hence, statistics is essential for planners, economists, scientists and administrators to prepare different plans and programmes.
The future is uncertain.Milne Library Data Collections: Open Data Sets by topic Locate and use numeric, statistical, geospatial, and qualitative data sets, find data management templates, find data repositories to house your own data and find tools for data visualization.
What good statistics projects look like. Even though there is a certain word limit set for all statistic projects, it is the quality of your project that matters most. How will a statistics project sample help?
Health Statistics and Data Sources. Navigation. or as raw data sets. The most reliable data comes from governmental sources or health-care professional organizations. Joint project of the Bureau of Labor Statistics (BLS) and the Bureau of the Census.
People And Households -- Data By Subject. From May to June , DOT conducted a Citywide Mobility Survey that asked approximately 3, New York City residents how and why they travel through the City.
The survey is divided into two datasets: one is a Main Survey dataset that includes travel preferences and perceptions; the second is a. Statistical Methods & Data Sources. Understandable Statistics Data Sets. The publisher of this textbook provides some data sets organized by data type/uses, such as: Raw data from Pew surveys is posted here six months after the survey results are published.
Includes archived data back to Milne Library Data Collections: Open Data Sets by topic Locate and use numeric, statistical, geospatial, and qualitative data sets, find data management templates, find data repositories to house your own data and find tools for data visualization.