Descriptive Statistics
An investigation of a Real Estate Data Set, issued by University of Phoenix Research class 341 has taken place. The assignment is a team responsibility to research any problems, issues, or opportunities the Real Estate industry may have and explain why the data is important. The team will apply descriptive statistics on the collected data and draw conclusions based on the findings. Using descriptive statistics, the data analysis will calculate the measures of central tendency, dispersion, and skew for the data. A deliberation of the descriptive statistical data will display information in graphic and tabular form, along with an application of frequency distribution and histogram. Based on the skew value and histogram, an analysis of the best measures of central tendency and dispersion of the data will justify the team selection. The Population

The Real Estate Data Set indicates 105 houses were sold; however, certain houses sold faster than others. The data set information assists with price, size, and number of bedrooms, the number of bathrooms, garage size, and the distance from the center of the city in miles. The information is important for Real Estate Brokers and Agents to determine what homes are more likely to sell on the market. According to U.S. Department of Labor (Used June 28, 2011), “Real estate brokers and sales agents have a thorough knowledge of the real estate market in their communities. They know which neighborhoods will best fit clients' needs and budgets.” A listing agent can use the information to determine the ratio of one home that would sell over the other.

Problem Definition
According to the real estate data set, the houses 10 miles or more away from the city appear to be less expensive and more spacious for the market value. Some houses are large in square foot with fewer bedrooms and others are large in square foot with more bedrooms. This leaves the broker to do some further research for answers...

...Statistics in Business
QNT/351
Statistics in Business
What is statistics? Statistics is collecting, measuring, analyzing, and communicating data. There are two types of statistics, descriptivestatistics and inferential statistics (Lind, Marchal, & Wathen, 2011). Statistics are applied in different situations. This paper will describe the role statistics has in making business decisions. This paper will also provide examples of situations in which statistics are applied.
Types of Statistics
Lind, Marchal, and Wathen define statistics as “The science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions (Lind, et al., 2011, p. 5). In statistics there are two types, descriptive and inferential statistics. First, descriptivestatistics is the informative organization, summarization, and presentation of data. The second type of statistics is inferential statistics. Inferential statistics is also called statistical inference, is “the methods used to estimate a property of a population on the basis of a sample” (Lind, et al., 2011 p. 7).
Statistic Examples
One example of...

...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 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...

...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...

...
DescriptiveStatistics and Interpretation
University of Phoenix
Katie Robinson
QNT/561
January 22, 2015
Gary Cantini
Introduction:
DescriptiveStatistics and Interpretation
This paper will provide descriptivestatistics and interpretations based on the article Effects of extended work shifts on employee fatigue, health, satisfaction, work/family, balance, and patient safety. Thestatistics are established from a collective survey about effects of extended work shifts on employee fatigue based on their age. Data will be collected on the interpretation phrases of central tendency, dispersion as well as confidence interval. A brief synopsis will be included to conclude this interpretation. This interpretation is the process of proving how age is an important factor as to how extended work shifts affect the employment levels as well as numerical facts.
Interpretation Phrases
Central Tendency:
Mean = 2,853.56
Median = 2,902
Mode = None
Dispersion:
Standard deviation = 2,279.70
Interquartile range (IQR) = 2,850
Range = 7,107 (691 to 7798)
Confidence Interval: (data must be normal)
±1489.37
Normal or significantly skewed data:
Mega Stat: Descriptivestatistics Normal curve goodness of fit p-value
Normal, p-value > .05
Significantly Skewed, p-value < .05
Histogram: Eyeball the histogram.
Normal data will have a symmetrical or slightly...

...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...

...DescriptiveStatistics: Real Estate
University of Phoenix
RES/341 Research and Evaluation I
DescriptiveStatistics: Real Estate
Does having a pool increase the price of houses that have the same number of bedroom? In order to answer that question, we divided our data set into two groups; houses with 1 to 3 bedrooms and houses with 4 and more bedrooms. We then compared the prices of houses with a pool to houses without a pool in each group. Different calculations were used to determine the central tendency, dispersion, and the skew of our data. The central tendency helps to simplify data and also to predict future results. We can use diverse calculations to measure it such as the mean, mode, and median. According to our sample of houses with 1 to 3 bedrooms, the mean price was higher of $4,060 for houses without a pool than with a pool. The same rule applies to houses with more than 4 bedrooms, but with a larger difference of $51,170. Another way we used to calculate the central tendency is by finding the median. The medians are also higher in each group for houses without a pool than those with a pool.
To better answer the above question, we also analyzed the skewness of our data in the two groups. . If we look at the two groups, houses with 1 to 3 bedrooms and houses with 4 or more bedrooms, the data seems to be skewed to the right because the mean is larger than the median. However, due to the...