Final Project: Statistics II Descriptive analysis of statistical data INTRODUCTION There have always been crimes, from a treachery to an assassination. Happens in every country you can think of, and every government has to deal with it. It is really stressful to try to understand the nature of the crimes: why are they done and where could they happen next. Out of this preoccupation is that we found studies gathering data from communities; we focused on one specific crime: murders. In several
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BSHS 435 WEEK 4 STATISTICAL ANALYSES To purchase this visit here: http://mindsblow.us/question_des/BSHS435WEEK4STATISTICALANALYSES/2786 Contact us at: help@mindblows.us BSHS 435 WEEK 4 STATISTICAL ANALYSES • Student selected a peer reviewed article from the library related to human services and statistical analysis. • Student discussed statistical analyses, including the following information: • Summarize in 100 to 150 words what the research study discussed in the article is about. (Provide
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Statistics Introduction Data analysis is done to convert the raw data into meaningful information. Statistics is all about this data analysis. Before actually working on data analysis in real world, it is important that the basic knowledge is possessed by everybody involved in this process. The following paper seeks to provide basic knowledge in some specific areas of statistical data analysis. Descriptive statistics As the name suggests, descriptive statistics means analysis of data to describe or summarize
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between descriptive statistics and Inferential statistics and the reasons why we use them. I will also discuss hypothesis development and testing, when to select the appropriate statistical test, and how to evaluating statistical results. In this class I learned the difference between descriptive statistics and inferential statistics. We use descriptive statistics to measure and analysis data. There are a number of reasons why we use Descriptive statistics. We use it, because Descriptive statistics
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BSHS 435 WEEK 4 STATISTICAL ANALYSES TO purchase this tutorial visit following link: http://wiseamerican.us/product/bshs-435-week-4-statistical-analyses/ Contact us at: SUPPORT@WISEAMERICAN.US BSHS 435 WEEK 4 STATISTICAL ANALYSES • Student selected a peer reviewed article from the library related to human services and statistical analysis. • Student discussed statistical analyses, including the following information: • Summarize in 100 to 150 words what the research study discussed in the
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members and the data set. o Briefly explain how the data was gathered and identify the study population. Descriptive Statistics o Define descriptive statistics and list the various descriptive measures. o Explain how descriptive statistical analysis increases understanding of the data. o Include an original graph created with StatCrunch that uses at least one descriptive statistical measure to illustrate the data set. Inferential Statistics o Define statistical inference and
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Descriptive and Inferential Statistical Method RES/351 Researchers have many tools available to them in order test and analyze a specific hypothesis. Some of these tools help gather data, while others help ensure accurate and relevant analysis. Data collection can take the form of quantitative and qualitative methods. In a qualitative method, your data is more interpretive. This data is used when trying to discover more of a meaning of specific question rather than the frequency
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after year. The data on criminal cases are logged and a suitable statistical analysis can be made to see if really there is any significant drop in criminal cases in subsequent years. Statistics is the branch of knowledge in which data pertaining to different variables are either collected or generated by suitable experimental design. However, the data is generally very huge in volume and the useful information and underlying trends are hidden in the noise. Therefore, data needs to be
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information collection can influence the outcome of a study and eventually lead to unacceptable results. Reliability is the internal consistency or stability of the measuring device over time (Gay, 1996). The collection data of Quantitative methods depend on random sampling and organized data collection instruments that fit different involvement into fixed response groups (www.mbaisherebyravali.com). An important aspect of the quantitative research design is the non-probability method. Through the non-probability
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methodical exploration of an organization’s data with emphasis on statistical analysis. It describes the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics is used by companies committed to data-driven decision making. It focuses on developing new insights and understanding of business performance based on data and statistical methods. BA is used to gain insights that inform
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