Descriptive Statistics is used when describing certain aspects of an immediate group within the population. For example, we may want to describe a math class and compare it to a class of science. Things that we may want to use for comparison would be age, gender, and even math skills. Descriptive statistics would allow us to analyze all those different areas and provide a comparison to view similarities, differences and ratios. Before any study is to be observed certain factors would have to be ascertained such as specific measurements for math skills. Students could possibly complete surveys or be interviewed. Based on the information provided by the students, it would then be possible to describe how certain issues and factors affect students in the class and how variables are related in those classes. However ,the study would be not be generalized to all science and math classes because it would not be a correct depiction of all math and science classes because there are could be a multitude of variables present in different groups of students (California State University, 1998). Inferential statistics are based on a study conducted on a sample of the population that is used to make a general assumption on a wider population. For example, in the United States, a part of the population is sampled at random and that data is used to access the wider population’s voting attitudes. The reason that sampling is done at random in this example, is to prevent any type of bias or prejudice of one American citizen over the other (S.E. Smith, 2010). Descriptive statistics can describe the subset of the population you will study. But to expand your assumptions to a wider population, like all high school classes, all workers, all men, inferential statistics must be used. This means that the sample that is studied has to represent the group you want to generalize to.

...Running head: DESCRIPTIVE AND INFERENTIALSTATISTICS
1
Descriptive and InferentialStatisticsDESCRIPTIVE AND INFERENTIALSTATISTICS
2
Descriptive and InferentialStatisticsDescriptive and inferentialstatistics 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...

...Descriptive & InferentialStatistics
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 inferentialstatistics. 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...

...Descriptive and InferentialStatistics Paper
PSY 315
Descriptive and InferentialStatistics
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 inferentialstatistics. Descriptivestatistics is a summary of information and the data presented is easily understood. Inferentialstatistics 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...

...Descriptive and InferentialStatistics
Statistical methods in psychology have two main branches, which are descriptive and inferential. They each play a major part in the data that is collected for research and other studies. This paper will show the functions of statistics, how descriptive and inferentialstatistics are defined and the relationship between the two.
Statistics is a necessary tool in psychology. It provides data for research studies as well as providing background information and support. Without it, understanding the various aspects of psychology and what causes disorders and behaviors would be almost impossible. Scientific, social, and economic studies use statistics in one form or another (Anand, 2013). These disciplines make use of observations, facts and figures, enquiries, and experiments using statistics and statistical methods (Anand, 2013).
Statistics presents facts in a simple form for researchers and psychologists to understand the findings from a research study. It reduces the complex nature of data, especially raw data. Statistics are put into various graphs or diagrams to make data more accessible and intelligible. When statistics are put into a graph, it helps draw inferences and aids in interpretation. Another function of...

...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...

...Chapter 1 : Introduction
Learning goals
❖ What is meant by Statistics
❖ What is meant by DescriptiveStatistics and InferentialStatistics
❖ Difference between Parameter & Statistic
❖ Types of Statistical Inferences
What is meant by Statistics ?
Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting numerical data to assist in making more effective decisions.
Types of StatisticsDescriptiveStatistics :
• Methods of organizing, summarizing, and presenting data in an informative way.
InferentialStatistics:
• A decision, estimate, prediction, or generalization about a population, based on a sample.
Population versus Sample
• A population is a collection of all possible individuals, objects, or measurements of interest.
• A sample is a portion, or part, of the population of interest
Parameter and Statistic
• A measure found from the entire population is called a population parameter or simply a parameter. (such as µ, σ, σ²)
• A measure found from analysing sample data is called a sample statistic or simply a statistic (such as x¯, s¯, s²)
Types of Statistical Inferences
It refers to the process of selecting and using a sample statistic to draw...

...Contents
Data Analysis: Analyzing Data - InferentialStatisticsInferentialstatistics deal with drawing conclusions and, in some cases, making predictions about the properties of a population based on information obtained from a sample. While descriptivestatistics provide information about the central tendency, dispersion, skew, and kurtosis of data, inferentialstatistics allow making broader statements about the relationships between data. Inferentialstatistics are frequently used to answer cause-and-effect questions and make predictions. They are also used to investigate differences between and among groups. However, one must understand that inferentialstatistics by themselves do not prove causality. Such proof is always a function of a given theory, and it is vital that such theory be clearly stated prior to using inferentialstatistics. Otherwise, their use is little more than a fishing expedition. For example, suppose that statistical methods suggest that on average, men are paid significantly more than women for full-time work. Several competing explanations may exist for this discrepancy. Inferentialstatistics can provide evidence to prove one theory more accurate than the other. However, any ultimate conclusions about actual causality...

...
InferentialStatistics and Findings
Erick Mart
QNT/561
August 25th 2014
Mario LOPEZ
InferentialStatistics and Findings
InferentialStatistic is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation. Our team uses inferentialstatistic to compare two groups, which are Melks and DHL. This paper outlines the sampling and data collection procedure used to test the null hypothesis. The null and alternate hypotheses are:
(There is no significant difference in brand awareness based on the marketing channel used).
(There is a significant difference in brand awareness on the basis of the marketing channel used).
Here is an example of the statistics of our results describing the total number of people from minimum age to maximum from ages 35 to 55. Mock data for the independent variables for Melks.
Descriptivestatistics
Income
Age
Count
300
300
Mean
56,426.45
45.91
sample standard deviation
3,876.30
7.23
sample variance
15,025,706.87
52.29
Minimum
50000
34
Maximum
60000
55
Range
10000
21
confidence interval 95.% lower
54,135.75
41.64
confidence interval...

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