Descriptive statistics is the discipline of quantitatively describing the main features of a collection of data.[1] Descriptive statistics are distinguished from inferential statistics (or inductive statistics), in that descriptive statistics aim to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent. This generally means that descriptive statistics, unlike inferential statistics, are not developed on the basis of probability theory.[2] Even when a data analysis draws its main conclusions using inferential statistics, descriptive statistics are generally also presented. For example in a paper reporting on a study involving human subjects, there typically appears a table giving the overall sample size, sample sizes in important subgroups (e.g., for each treatment or exposure group), and demographic or clinical characteristics such as the average age, the proportion of subjects of each sex, and the proportion of subjects with related comorbidities.

Descriptive statistics provides simple summaries about the sample and about the observations that have been made. Such summaries may be either quantitative, i.e. summary statistics, or visual, i.e. simple-to-understand graphs. These summaries may either form the basis of the initial description of the data as part of a more extensive statistical analysis, or they may be sufficient in and of themselves for a particular investigation. For example, the shooting percentage in basketball is a descriptive statistic that summarizes the performance of a player or a team. This number is the number of shots made divided by the number of shots taken. For example, a player who shoots 33% is making approximately one shot in every three. The percentage summarizes or describes multiple discrete events. Consider also the grade point average. This single number describes the general performance of a student across the range of their course experiences.[3] The use...

...Professor Dumonceaux
DescriptiveStatistics Paper
2 June 2014
Finding a New Home
According to Trochim, “Descriptivestatistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data” (Trochim, 2006). For many years, many studies and researches have been done in real estate market. Buyers need to conduct researches to decide which house they will purchase. Buyers’ concerns include the price of the house, the number of bedrooms, and location. Real estate agents need to gather all the necessary information to provide their services to buyers. Additionally, the agents must be able to predict what types of houses are most likely to sell. In this paper, I will provide the summary of what I have been studying. The paper will include the measure of central tendency, dispersion, and skew for data. In addition, this paper will also contain graphic data as well as tabular data to demonstrate my findings and studies. In the end, conclusion will present whether my research findings answered the problem statement or if more research may be needed.
Examining the data collected for the current real estate market desires, following are the conclusions based on its findings. There are many key factors to consider when purchasing a home. Some of the...

...Association [ASA], 2008). Statistics is a division of mathematics that centers on the collection and evaluation of data, which can be drawn upon to make conclusions (Aron, Aron, & Coups, 2006, 2). Two branches of statistics exist, including descriptive and inferential domains. Extrapolation beyond the data is where the real difference emerges. Indeed, these two subcategories vary in function and definition. However, a relationship exists betweendescriptive and inferential statistics, irrespective of the distinction in purpose and meaning.
The function of statistics is the "collecting, analyzing, presenting, and interpreting of data (Statistic, 2008). Statistics have become a valuable tool that many fields use which include but are not limited to business, healthcare, politics, sports, gambling, and all sciences. The government census reports that keep track of the population and the economics of everyday life that is played out on Wall Street and the stock market are two examples of where statistics influence every individual. In psychology statistical methods are used on the data collected regarding a theory or question about human and animal behavior in order to discover the truth about the behavior. For example, a research study on the effects of stress levels of a student and how well the student performs on a test. Through the...

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Course:
Applied Statistics
3.00 Credit Hours, fall 2014,
ADP (Accounting and finance)
Instructor: Sonia Iqbal
Email: Sonia.iqbal@uogsialkot.edu.pk
INTRODUCTION
1.1 Meaning of Statistics:-
Statistics is a subject consisting of rules, methods and techniques of collecting data and presenting large amount of numerical information. It is also used to draw inference about the population on the basis of sample
For example, to check the performance of a student is being studied. Data will be collected on different type of variables such that study hours, percentage of attendance and IQ level etc.
Branches of Statistics:-
There are two branches of statistics, Descriptivestatistics and inferential statistics.
DescriptiveStatisticsDescriptivestatistics deals with concepts and methods concerned with summarization and description of the aspects of numerical data. It also deals with the condensation of data, their graphical displays and the computation of a few numerical quantities that provide information about the center of the data and indicate the spread of the observation.
For example, a cricket player wants to find the score average for the last 20 games.
Inferential Statistics
Inferential statistics deal with procedures for making inferences about the...

...Descriptive & Inferential Statistics
The study of statistics plays a significant role in each of our lives. Statistics is a method often used in every scientific field to relay important information found, support new theories as they are developed and keep our society aware and up to date with the issues that affect us and what type of effect they have. From a psychological standpoint statistics provides each individual with the tools necessary to understand the work of psychologists before us and aides in the way we report what we find so that it is useful to those that will supersede. The concept of statistics is divided into two major branches of statistical methods known as descriptive and inferential statistics. To comprehend the study as a whole statisticians recommend individuals began focusing on descriptivestatistics because it provides a better understanding and smooth transition into inferential. According to descriptivestatistics are commonly used to summarize or describe a group of numbers in a research study while inferential takes the idea a step further to draw conclusions and make suggestions according to the numbers in the study however providing
Functions of StatisticsStatistics have a particular purpose and a list of functions in regards to not...

...Descriptive and Inferential Statistics
Greg Hagen, Jean Parker, Jade Riley, Nanika Woods, Myron Hamilton, Tajah Gutierrez, Treva Eley
PSY/315
June 9, 2012
Nancy A. Walker
Descriptive and Inferential StatisticsStatistics is a vital part of the psychological field as the analysis of statistics provides researchers with a means of both describing the results of research and surmising from those results, as well as drawing conclusions related to a hypothesis. Statistics gives a better understanding and exact description of a phenomenon of nature when in the field of study and includes data collection, data analysis, interpretation of, and making inferences from the data.This analysis is usually done on information that has been assembled in the form of graphs and charts of various types. Essentially, there are two branches of methodology involving statistics, descriptivestatistics and inferential statistics, with descriptivestatistics describing the research, and inferential statistics making inferences from it. Without statistics, researchers would have little foundation for the validation of their theories.
“Statistics is a form of math and this math is used when concerning analyzing, organizing as well as interpreting groups of...

...Running head: DESCRIPTIVE AND INFERENTIAL STATISTICS
1
Descriptive and Inferential StatisticsDESCRIPTIVE AND INFERENTIAL STATISTICS
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Descriptive and Inferential StatisticsDescriptive and inferential statistics are incredibly similar forms of research testing within psychology. Each seeks to analyze, describe, and possibly predict a population’s behavior. As with psychology itself, statistical analysis within psychology began as a philosophy (Goodwin, 2008). This philosophy quickly turned to a scientific pursuit, again mirroring psychology itself. A person observes, and wonders why that event occurred. That person makes a guess, known as forming a hypothesis, then he or she observes the situation again making small changes to test the theory. Once the determination that the behavior or occurrence is prevalent in a population for which the statistical study is relevant it is given a level of probability (A. Aron, E. Aron, & Coups, 2009). Statistics has two branches descriptive and inferential, and both branches use fundamental concepts as measurements of predictability. The predictability or probability of an event or behavior is determined through values, variables, and scores. Statistics would be redundant if data given by considerable surveys’ and testing were simple to...

...Descriptive and Inferential Statistics Paper
Descriptive and Inferential Statistics Paper
Statistics are used for descriptive purposes, and can be helpful in understanding a large amount of information, such as crime rates. Using statistics to record and analyze information, helps to solve problems, back up the solution to the problems, and eliminate some of the guess work. In Psychology there has to be a variable or variables to be organized, measured, and expressed as quantities. Information is usually in the form of a frequency table, histogram, or bar graph to show the increase or decline in occurrences over a period of time. Psychological statistics is used to keep track of behavioral reactions to certain stimuli, and since the human behavior is so unpredictable, psychologists use statistics instead of trying to predict outcomes of situations.
Functions of Statistics
Understanding and interpreting data can be difficult if one does not possess the necessary skills to do so. The knowledge of how and why statistics are used is a very important first step to gaining these skills. The following few paragraphs will offer an explanation of the functions of statistics, which will describe how different types of statistics are used to make sense of data that can sometimes be confusing....

...Descriptive and Inferential Statistics Paper
PSY 315
Descriptive and Inferential Statistics
Whether doing original research or conducting literature reviews, one must conclude what a powerful and versatile tool statistics are in the hands of researchers. From basic statistics such as data description, to using complex statistical methods to foresee future patterns or strengthen scientific claims about current climates, the role of statistics in research cannot be taken lightly and is essential in almost any field, especially in psychology. The statistical method is divided into two main branches called descriptive and inferential statistics. Descriptivestatistics is a summary of information and the data presented is easily understood. Inferential statistics are much more detailed and are used to draw conclusions about hypotheses or determine probabilities of an outcome. Both allow researchers to describe, graph and present data for a general audience or more technical for the professionals. Without statistics, researchers lose that vital tool that allows them to move from hypothesis to conclusion.
The ability to describe data is an essential asset that comes with statistics. Once strong, reliable, and valid data is collected by the researcher, he or she must then make...