Descriptive and Inferential Statistics
The world of science would find itself lost without research. Research alone however, oftentimes will not answer the questions or solve the problems that scientists set out to solve. Statistics is where research becomes applied and scientists can make educated guesses about future outcomes. “Formally, statistics is a branch of mathematics that focuses on organization, analysis, and interpretation of a group of numbers” (Aron, Aron, and Coups, 2006). There are two main branches of statistics that we will explore; descriptive and inferential statistics. The main relationship between descriptive and inferential statistics is that they all include numbers from either actual given information or inferred assumptions that try to draw a conclusion or complete given data. Descriptive Statistics

Descriptive statistics is a method of research used by psychologists. Descriptive statistics make statistics understandable and describes a group of numbers for a research study (Aron, Aron and Coups,2006). Descriptive statistics are used in summarizing large sets of quantitative or numerical information. If there is a large amount of information for measurement, the best way to show the information is by a graph (Boerre, 2005). Descriptive statistics provide a simple summary about the sample and the measurements. Descriptive statistics describes the data; it allows the researcher to understand a large amount of numbers or data in a simple way (Social Research, 2009). Central tendency refers to the idea that one number can summarize the entire set of measurement. This is a number that is in some way central to the set (Boerre, 2005). The mode is the measurement that has been found to be the most frequent. Although the mode, or greatest frequency number, is not used very often, it is useful when differences are rare or non-numerical (Boerre, 2005). The median is the number which is half of the measurement, or midpointof the...

...Descriptive and Inferential Statistics
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 inferential statistics 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 statistics is allowing different sets of observation to be compared and contrasted with other data to predict the likelihood of a...

...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 descriptive statistics because it provides a better understanding and smooth transition into inferential. According to descriptive statistics 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 Statistics
Statistics have a particular purpose and a list of functions in regards to not only psychology but also psychological research as well. Statistics and psychology...

...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 Statistics
Statistics 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, descriptive statistics and inferential statistics, with descriptive statistics 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 numbers” (Aron, A., Aron E. N., & Coups, E. J., 2009). They are used to compare and contrast information in order...

...Running head: DESCRIPTIVE AND INFERENTIAL STATISTICS
1
Descriptive and Inferential Statistics
DESCRIPTIVE AND INFERENTIAL STATISTICS
2
Descriptive and Inferential Statistics Descriptive 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 interpret. However,...

...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. Descriptive statistics 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 sense of the data and more importantly, make it understandable. Certain clues to a...

...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...

...1. What are descriptive statistics and how do they differ from inferential statistics?
INTRODUCTION
Statistical procedures can be divided into two major categories: descriptive statistics and inferential statistics. Typically, in most research conducted on groups of people, you will use both descriptive and inferential statistics to analyse your results and draw conclusions. So what aredescriptive and inferential statistics? And what are their differences?We have seen that descriptive statistics provide information about our immediate group of data. For example, we could calculate the mean and standard deviation of the exam marks for the 100 students and this could provide valuable information about this group of 100 students. Any group of data like this, which includes all the data you are interested in, is called a population. A population can be small or large, as long as it includes all the data you are interested in. For example, if you were only interested in the exam marks of 100 students, the 100 students would represent your population. Descriptive statistics are applied to populations, and the properties of populations, like the mean or standard deviation, are called parameters as they represent the whole population (i.e., everybody you are interested in).Often, however, you do not have access to the whole population you...

...
Inferential Statistics and Findings
Erick Mart
QNT/561
August 25th 2014
Mario LOPEZ
Inferential Statistics and Findings
Inferential Statistic is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation. Our team uses inferential statistic 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.
Descriptive statistics
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 95.% upper
58,717.16
50.18
half-width
2,290.71
4.27
z...

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