...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 a complete citation for the article using proper APA format.) • Discuss in 250 to 400 words the statistical analyses within the article. o Does the article incorporate graphs or tables that facilitate understanding of the data? o Are the descriptive statistical analyses appropriate for the subject? What descriptive statistics were used in the study? o Identify the inferential statistics used and comment if the analyses supported the research problem/hypothesis. (For example, do they support the conclusions reached by the author or authors? Are the statistics misleading or biased?). • The paper is 700 to 1,050 words in length. 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 a complete citation for the article using proper APA format...
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...relative to a study for the purpose of offering a critical appraisal (Flores, Win, Susilo, 2010). The literature review used in this article examines how patient's right to privacy terms be violated and how biometric technologies can ease or eliminate the consequences related. The literature review details how the implementation of biometric technologies can be important for identification, verification, and for compliance with patient privacy laws. Literatures used in this study were obtained through proQuest databases from Walden University, and from professional journals, business publications, technical reports, newspaper articles, and EBSCO-host online databases. The author of the research study also obtained information from related areas of research, and from doctorial dissertations of the same subject. Ethical considerations for data collection Ethical consideration given to the data that was collected for this study, was the insurance that all information obtained by participants would be shared only with their written consent and by select individuals affiliated with the study; as well as blinding all identifying information. Participants of the study were over the legal consenting age of 18 at the time of the study, and each person participated voluntarily in the study. The researcher of this study was honest and forthcoming about his contribution to the study and gave academic credit to individuals who were either involved in the study or whose work played...
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...03/17/2015 Mark Robinson Abstract The three most commonly used research instruments in quantitative research Studies include Questionnaire, Tests, and Surveys. Validity is the degree to which an instrument measure what it is purports to measure. Imprecise 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 method, there are many sampling designs such as convenience sampling, purposive sampling and model instance sampling (www.wilderdom.com). Listed below are two Quantitative strength approaches. The first quantitative strength approach is offering vivid data; for example, permitting us to take pictures of an employer population (www.library.pinpoint.com). Another strength is quantitative research have the ability to translate numbers and data in quantifying graphs and charts. (www.library.pinpoint.com) The first weakness of the quantitative approach is large samples are needed thus causing the study to be more expensive, time- consuming and make it susceptible to error. The second quantitative approach is the...
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...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 a complete citation for the article using proper APA format.) • Discuss in 250 to 400 words the statistical analyses within the article. o Does the article incorporate graphs or tables that facilitate understanding of the data? o Are the descriptive statistical analyses appropriate for the subject? What descriptive statistics were used in the study? o Identify the inferential statistics used and comment if the analyses supported the research problem/hypothesis. (For example, do they support the conclusions reached by the author or authors? Are the statistics misleading or biased?). • The paper is 700 to 1,050 words in length. 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 a complete citation for the article using proper APA format.) • Discuss in 250 to 400 words the statistical analyses within the article. o Does the article incorporate graphs or tables that facilitate understanding of the data? o Are the descriptive statistical analyses appropriate for the subject? What descriptive statistics were...
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...Descriptive and Inferential Statistics Statistics are all-around and used in everyday life. Statistics are used to describe how effective a medication is for a certain disorder to what the most popular color is in the United States. According to Aron, Aron, and Coups, 2009, “statistics is a method of pursuing truth. As a minimum, statistics can tell you the likelihood that your hunch is true in this time and place and with these sorts of people” (p. 2). Psychologist use two branches of statistics to summarize his or her results and those are descriptive and inferential statistics. This paper will discuss the function of statistics, what descriptive and inferential statistics are, and the relationship between descriptive and inferential statistics. Statistics are used in almost every branch of study and is found behind the scenes in many of our normal daily activities. From economic to scientific studies, statistics are utilized in one way or another. Statistics are an essential part of understanding information and expanding knowledge base and is encompasses almost all aspects of enquiry ("7 Most Essential Functions Of Statistics", 2012). Statistics have many functions that we utilize;statisticsprovides for a better understanding of phenomenon of nature and helps in proper and statistical planning in all forms of study. Using statistics helps in collecting useful quantitative data and also aids in presenting difficult or confusing data in an understandable way. Statistics facilitate...
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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 (Cooper, Schindler 2014). This data is generally obtained through interviews, participant observation, or focus groups. On the other hand quantitative data is the precise measurement of a specific behavior or phenomena (Cooper, Schindler 2014). Quantitative data is generally gathered by experiments, standardized testing, surveys, or non-participant observation (Cooper, Schindler 2014). While gathering both types of data, it is important to focus on the type of sampling method you utilize. For example, simple random sampling, or probability sampling, can be used to test a targeted representation of a test population (Cooper, Schindler 2014). There are other sampling methods as well. Stratified random sampling, for instance, is probability sampling that draws from each strata of population. One study I found to demonstrate descriptive statistics used stratified random statistics. In this study, they used stratified random sampling to test accuracy in medical billing (Buddahulsomsiri...
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...Hypothesis 1 – Average Income level 5 Descriptive Statistics 5 Hypothesis of the test 5 Statistical Findings 6 Interpretation of results 6 3.2 Question 2: Satisfaction level between gender 7 Descriptive statistics 7 Hypothesis 7 Method used and nature of the test 7 Reporting of statistical analysis 8 Interpretation of results 8 3.3 Question 3: Difference between satisfaction levels across business divisions. 9 Descriptive Statistics 9 Hypothesis 9 Method used and the nature of the test 9 Reporting of Results 9 Interpretation of results 10 3.4 Question 4: Gender composition across divisions 11 Descriptive Statistics 11 Hypothesis 11 Method used 11 Reporting of Statistical analysis 11 Interpretation of results 12 3.5 Question 5: Years of service and overall satisfaction level 12 Null and alternate hypothesis 12 Method used 12 Nature of test used: 13 Reporting of Results 13 3.6 Question 6: Employment basis and their perception of their values. 14 Descriptive Statistics 14 Hypothesis 14 Method used and the nature of the test 14 Reporting of Results 15 Interpretation of results 15 3.7 Question 7: Difference between values employees placed on income and training opportunities 16 Descriptive statistics 16 Hypothesis 16 Method used and nature of the test 16 Reporting of statistical analysis 17 Interpretation of results 17 3.8 Question 8: Value on work social events and numbers of hours 18 Descriptive statistics 18 Hypothesis 18 Method used and nature...
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...Week 5 Learning Team Statistics and Hypothesis Testing Presentation To Buy This material Click below link http://www.uoptutors.com/BSHS-382/BSHS-382-Week-5-Learning-Team-Statistics-and-Hypothesis-Testing-Presentation Prepare a 10- to 15-slide Microsoft® PowerPoint® presentation on statistics and hypothesis testing. This is a Microsoft® PowerPoint® presentation with speaker notes. Anorexia, as described on p. 383 of Statistics Enchiladas, as described on pp. 113 and 114 of Statistics FL Student Survey, as described on pp. 22 and 23 of Statistics Georgia Student Survey, as described on pp. 22, 23, and 151 of Statistics Olympic High Jump, as described on pp. 124, 125, and 128 of Statistics Introduction o Introduce the Learning Team 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 include and explain at least one original inferential statistical calculation. o Use StatCrunch to check the calculation and show the steps in your presentation. o Explain how inferential statistical analysis increases understanding...
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...Descriptive and Inferential Statistics ________________________________________ Statistics can be broken into two basic types. The first is known as descriptive statistics. This is a set of methods to describe data that we have collected. Ex. Of 350 randomly selected people in the town of Luserna, Italy, 280 people had the last name Nicolussi. An example of descriptive statistics is the following statement : "80% of these people have the last name Nicolussi." Ex. On the last 3 Sundays, Henry D. Carsalesman sold 2, 1, and 0 new cars respectively. An example of descriptive statistics is the following statement : "Henry averaged 1 new car sold for the last 3 Sundays." These are both descriptive statements because they can actually be verified from the information provided. The second type of statistics in inferential statistics. This is a set of methods used to make a generalization, estimate, prediction or decision. Ex. Of 350 randomly selected people in the town of Luserna, Italy, 280 people had the last name Nicolussi. An example of inferential statistics is the following statement : "80% of all people living in Italy have the last name Nicolussi." We have no information about all people living in Italy, just about the 350 living in Luserna. We have taken that information and generalized it to talk about all people living in Italy. The easiest way to tell that this statement is not descriptive is by trying to verify it based upon the information provided. Ex....
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...Unit 1 - Fundamentals of Statistics Jeanna Starr American InterContinental University Abstract A data analysis was done on job satisfaction for the company AIU categorized by age, gender, tenure, position, and department. Overall job satisfaction as well as intrinsic (satisfaction with the actual performance of the job) and extrinsic (office location or work colleagues) job satisfaction were considered in this survey. Introduction AIU assembled a team of researchers to study job satisfaction. I was selected as part of a group to participate in a massive global undertaking. The study required me to examine data and analyze the results. The study consists of job satisfaction, which is extremely important to an organization’s overall success. This particular study will allow managers to gain understanding and knowledge about what type of human behaviors can be used to strengthen an organization’s performance. Chosen Variables I have chosen gender for my qualitative data and intrinsic for my quantitative data. The reason that I have chosen these two variables is because I thought it would be interesting to analyze if males or females were more satisfied with their job, and how the actual job performance reflected their job satisfaction rating. Difference in variable types Qualitative variables include subjects that are non-numerical, such as gender. Quantitative variables include subjects that are numerical and give us a clear visual as to what...
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...Statistics Darrell Washington BUS308: Statistics for Managers Instructor: Gary Withers November 23, 2015 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 data in a meaningful manner. The analysis helps in determination of patterns that exist in the data. Descriptive statistics simply describes the data but not present an analysis beyond the data. One cannot make any conclusions about any hypothesis using this. The data, when presented to users, is difficult to comprehend in its raw form. Sometimes the sheer size and volume of data may render it impossible to understand what it represents. Descriptive statistics helps in proper presentation of data such that it can be understood and analyzed by the user. For example, if we had the data about the returns from stocks of 100 companies, then that data would make no sense as it would be difficult to comprehend. But if that data is arranges, classified industry-wise, an average is calculated for each industry and for all the stocks, and then the interpretation would...
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...Understanding Business Research Terms and Concepts: Part 2 Statistical procedures can be divided into two major categories: descriptive statistics and inferential statistics. When it comes to statistical analysis, there are two classifications: descriptive statistics and inferential statistics. In a nutshell, descriptive statistics intend to describe a big hunk of data with summary charts and tables, but do not attempt to draw conclusions about the population from which the sample was taken. Descriptive statistics are very important because if we simply presented our raw data it would be hard to visualize what the data was showing, especially if there was a lot of it. Descriptive statistics therefore enables us to present the data in a more meaningful way, which allows simpler interpretation of the data. Descriptive statistics includes statistical procedures that we use to describe the population we are studying. The data could be collected from either a sample or a population, but the results help us organize and describe data. Descriptive statistics can only be used to describe the group that is being studying. On the other hand inferential statistics allows us to draw conclusions from data that might not be immediately obvious. In most cases an inferential statistic is used to test some hypothesis. Inferential statistics is concerned with making predictions or inferences about a population from observations and analyses of a sample. I was able to come across two article...
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...STATISTICS TEST Length: 1090 words (3.1 double-spaced pages) Rating: Red (FREE) - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Statistics are necessary for scientific research because they allow the researchers to analyze empirical data needed to interpret the findings and draw conclusions based on the results of the research. According to Portney and Watkins (2009), all studies require a description of subjects and responses that are obtained through measuring central tendency, so all studies use descriptive statistics to present an appropriate use of statistical tests and the validity of data interpretation. Although descriptive statistics do not allow general conclusions and allow only limited interpretations, they are useful for understanding the study sample and establishing an appropriate framework for the further analysis in the study. Further analysis using appropriate statistical methods allows the researchers to establish correlations between independent and dependent variables, define possible outcomes, and identify areas of potential study in the future accurately. Statistics is important for researchers because it allows them to investigate and interpret the data more accurately, and researchers will notice patterns in the data that would be overlooked otherwise and result in inaccurate and possibly subjective conclusions (Portney &ump; Watkins, 2009). Frequency distribution is a method used in descriptive statistics to arrange...
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...Descriptive and Inferential Statistics Presentation Tony Roberson, Amani Wilson, Deandra Cobb, and Lysa Satterwhite PSY 315 November 11, 2013 Melinda Waife Descriptive and Inferential Statistics Presentation Click on link below to review Team D’s presentation. http://prezi.com/sz-i9ukpbarl/?utm_campaign=share&utm_medium=copy Tony’s Presentation Speaker Notes: Introduction: Please review Prezi Source: Flickr User "unity_creative" To understand the simple difference between descriptive and inferential statistics, all you need to remember is that descriptive statistics summarize your current dataset and inferential statistics aim to draw conclusions about an additional population outside of proposed data (eCaro, 2003). Deandra Statistics in Psychology and its function cannot be taken lightly. The importance ofthe development of psychology would not have been realized if statistics did not play such a crucial role. Important components such as inferential statistics and interactions are dynamic in the study of associations, and affiliations that are essential in psychology.Statistic is the exact phenomenon of nature and it helps in providing a better understanding. Statistics helps in the effectiveness and planning of statistical analysis in any field of study. Furthermore, helps in applicable quantitative data and in presenting complex data in a suitable level, diagrammatic and graphic form for a clear comprehension of the data. Amani Wilson Speaker Notes...
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...ones that I have picked for the purpose of his paper are questionnaire, sampling and surveying. Each can be a value to a researcher when completed with accuracy. Validity is the degree to which an instrument measure what it is purports to measure. Invalid instruments can lead to erroneous research conclusions, which in turn can influence educational decisions. Reliability is the internal consistency or stability of the measuring device over time (Gay, 1996). A questionnaire is a series of questions ask to the subject to get responsive directly from the subjects. Questionnaires are widely used especially in descriptive survey studies. Surveying collects factual data from participants and gain opinions. The first of two research articles I picked was “A descriptive study of workplace conflict management styles,” The study has a non-experimental, descriptive, and quantitative research design, a sample size of 103 employees working in financial, IT, academic and marketing sectors were analyzed (stratified random sampling was used for the purpose). Statistical measures like Cranach’s alpha, independent samples t test, bivariate correlation, robust tests for equality of means, multiple comparisons (Turkey HSD) and chi square tests were employed to analyze the data. Research revealed that employees of fairer sex in Indian organizations used integrating, compromising and avoiding styles of interpersonal conflict handling. Dominating and obliging styles were followed by males...
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