...Although most high school students graduate within the United States, some millions do not, resulting in a weaker job market and lower pay for these individuals and a dropout number that has fluctuated over the years. Data has shown most of these dropouts are Hispanic (United States Census Bureau) and the median pay of high school and college graduates is significantly more than that of high school dropouts (United States Census Bureau.) It is important steps are taken now to prevent high-school students from dropping out, such as using the solution-focused principles and techniques program because, while data has shown various ethnicities drop out of high school in all states, all of these individuals are limited in their career options. It...
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...will incorporate both descriptive and inferential statistics to evaluate his or her results and create a credible conclusion. Descriptive statistics provides information focused on an immediate group of data. After defining what needs to be analyzed, the descriptive statistics will help the analyzer abridge the data to a more meaningful and comprehendible form, which will then provide patterns in his or her research that, will provide a foundation to his or her thesis. For example, a person could use descriptive statistics to evaluate the answers on an exam taken by 400 American students, and use descriptive statistics to determine the overall performance of the 400 students at that school. By using descriptive statistics, the analyzer can use his or her findings, to provide useful information regarding which subjects students need to improve most in, and which minority group or grade level are grasping the educational tools provided at the school more effectively, then those not grasping the provided educational tools and still need more room for improvement. While descriptive statistics helps an analyzer assess an immediate group of data from a single population, inferential statistics allow an analyzer to collect data using bits and pieces of samples which are portions of a collection of data focusing on the group or population of interest in which the analyzer research is concentrated on at the time. Inferential statistics will allow the analyzer to create a conclusion which...
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...snaptutorial.com PSYCH 625 Week 1 Individual Assignment Basic Concepts in Statistics Worksheet PSYCH 625 Week 1 Individual Assignment Reliability and Validity Matrix PSYCH 625 Week 1 Individual Assignment Time to Practice – Week One PSYCH 625 Week 2 Individual Assignment Time to Practice – Week Two PSYCH 625 Week 2 Learning Team Assignment Statistics Project Import Data Into IBM ® SPSS ® Software PSYCH 625 Week 3 Individual Assignment Time to Practice – Week Three PSYCH 625 Week 3 Learning Team Assignment Hypothesis Testing Problem Worksheet PSYCH 625 Week 3 Learning Team Assignment Statistics Project Descriptive Statistics PSYCH 625 Week 4 Individual Assignment Time to Practice – Week Four PSYCH 625 Week 4 Learning Team Assignment Statistics Project Comparing Means PSYCH 625 Week 5 Individual Assignment Programmatic Assessment Time to Practice – Week Five PSYCH 625 Week 5 Learning Team Assignment Statistics Project Correlations PSYCH 625 Week 6 Individual Assignment Overview of Important Statistical Tests PSYCH 625 Week 6 Learning Team Assignment Statistics Project Presentation ----------------------------------------- PSYCH 625 Week 1 Individual Assignment Basic Concepts in Statistics Worksheet For more classes visit www.snaptutorial.com Complete the following questions. Be specific and provide examples when relevant. Cite any sources consistent with APA guidelines. What are statistics and how are they used in the behavioral sciences? Your answer should be...
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...Plan Course Title: Statistics for Business Instructor: Shahid Ali Contact Email shahid.ali@imsciences.edu.pk Semester/Duration: 16 Weeks Course objectives : To introduce students to the concepts of statistics and to equip them with analytical tools to be used in business decision making. The course is intended to polish the numeric ability of the students to identify business problems, describe them numerically and to provide intelligible solutions by data collection and inferential principles. Course pre-requisites Intermediate statistics Attendance Policy: Late arrivals are highly discouraged. Any student coming late to a class late by 5 minutes after the scheduled start time will be marked as absent for the day. The teacher reserves discretion, however, to allow or disallow any student, to sit in the class in case of late arrivals. Attendance is not be entertained once the attendance register is closed. Class Project Students will be divided in groups for a class project. Each group will have to nominate a group leader. The details of the project will be made available to the group leader. Class Presentations Each student will have to make at least one individual presentation and one group presentation in the class. The group presentation will be on the project explained earlier. The individual presentations will start after first two weeks. Teaching Methodology Students are expected to come prepared...
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...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 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...
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...TERM END EXAMINATIONS,MARCH-2013 BACHELOR OF COMMERCE, YEAR – III ELEMENTARY STASTISTICS Time: 3 hours M.Marks:60 SECTION A Note: - Attempt any 4 questions. All questions carry equal marks. (4 X 5) The answer should be limited upto 200 words. 1) What is statistics? Explain the nature and limitations of statistics? 2) What is frequency distribution? What are the different types of frequency distribution? 3) What is frequency curve? Explain cumulative frequency curve with example? 4) Suppose mean of a series of 5 item is30.four values are respectively, 10, 15, 30 and 35.estimate the missing 5th value of the series. ANSWER : Mean = (10+15+30+35+x)/5=30 Therefore, x=(30*50)-( 10+15+30+35) i.e x = 150-90, hence x=60 5) Calculate median of the following distribution of data. Class interval | 0-5 | 5-10 | 10-20 | 20-30 | 30-50 | 50-70 | 70-100 | frequency | 12 | 15 | 25 | 40 | 42 | 14 | 8 | n= 12+15+25+40+42+14+8=156 Hence median is at the average of n/2 & (n/2 +1) positon i.e 78th & 79th position Class interval | 0-5 | 5-10 | 10-20 | 20-30 | 30-50 | 50-70 | 70-100 | frequency | 12 | 15 | 25 | 40 | 42 | 14 | 8 | Position 12 27 52 92 134 148 156 6) Calculate the coefficient of correlation...
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...that they smoked cigarettes within the past week. * I would say that this would be an observational study because the characteristics of this population were being observed and the sample population in the study were in no way influenced by the researcher. They were solely asked to answer the question and their answers were not manipulated. 3. In the following scenario what is the statistic and the parameter it would estimate. A recent study of 460 drivers age 70 and over by the National Highway Traffic Safety Administration reported that 75% of those drivers had uncorrected vision problems. * The reported statistic would be 75% of the 460 drivers age 70 and over. Which would be a total of 345 drivers age 70 or older that had uncorrected vision problems. * The parameter would be the total population of drivers age 70 and over the have uncorrected vision problems. 4. What type of sampling procedure was used to collect the data in the MM207 Student Data Set? - I think that this would be a convenience sample because it is using the population of college students in the sampling. This is a total of 175 Kaplan...
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...BSHS 382 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...
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... | | |Statistics | Copyright © 2010, 2006 by University of Phoenix. All rights reserved. Course Description This course surveys descriptive and inferential statistics with an emphasis on practical applications of statistical analysis. The principles of collecting, analyzing, and interpreting data are covered. It examines the role of statistical analysis, statistical terminology, the appropriate use of statistical techniques and interpretation of statistical findings through applications and functions of statistical methods. Policies Faculty and students/learners will be held responsible for understanding and adhering to all policies contained within the following two documents: • University policies: You must be logged into the student website to view this document. • Instructor policies: This document is posted in the Course Materials forum. University policies are subject to change. Be sure to read the policies at the beginning of each class. Policies may be slightly different depending on the modality in which you attend class. If you have recently changed modalities, read the policies governing your current class modality. Course Materials Triola, M. F. (2010). Elementary statistics. (11th ed.). Boston, MA: Pearson. All electronic materials are available...
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...smith4bw@ucmail.uc.edu (I check throughout the day so please feel free to email me any questions you may have in class.) Skype: doctorwho1971 (If you choose this option please state you are my student and the class name and section or I will not accept invitation.) Faculty Service Center: (513)732-5335 Electronic Communication This is an online course which uses Blackboard linked to MyMathLab. Course Description: This course develops fundamental knowledge and skills for applying statistics to business decision making. Topics include descriptive statistics, probability distributions, confidence intervals and hypothesis testing and the use of computer software for statistical applications. Learning Outcomes: The successful Business Analytics I student should be able to: 1) Organize and summarize data using appropriate descriptive statistics and graphical methods. 2) Understand the concept of probability and to be able to calculate probabilities required in order to perform statistical inferences. 3) Understand the concept of a random variable and use discrete and continuous random variable and their corresponding distributions to calculate probabilities. 4) Understand the concept of a sampling distribution and be familiar with the primary sample statistics and their distributions. 5) Estimate population parameters using...
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...Quantitative Techniques in Business Introduction to Statistics In the business world, and in fact, in practically every aspect of daily living, quantitative techniques are used to assist in decision making. Why? Unlike the classroom, in the “real world” there is often not enough information available to be guaranteed of making a correct decision. For instance, if advertisers would like to know how many households in the United States with televisions are tuned to a particular television show, at a particular date and time, it would be impossible to determine without the complete cooperation of every household and an astonishing amount of time and money. If a consumer protection agency wanted to determine the true proportion of prescription drug users who also use herbal non-regulated over-the-counter supplements, this information would most likely not be available. As a result of the inability to determine characteristics of interest, the application of statistics, and other quantitative techniques has developed. Statistics is defined as the process of collecting a sample, organizing, analyzing and interpreting data. The numeric values which represent the characteristics analyzed in this process are also referred to as statistics. When information related to a particular group is desired, and it is impossible or impractical to obtain this information, a sample or subset of the group is obtained and the information of interest is determined for the subset. For instance...
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...According to teenpregnancystatistics.org, the drop out rate among pregnant teens is 90% throughout the United States ("Drop Out Rates Among Pregnant Teens."). This rate is even higher for African American teens or teens from disadvantaged backgrounds. Hikiela Williams was in a constant battle against these statistics. As a teen parent, Hikiela had to demonstrate work ethic and determination in order to achieve her goal of becoming a nurse. Her early life was not easy and several different events influenced her to becoming a nurse. Hikiela not only strived to become a nurse to provide for her family, but also to deliver the compassion to others that she once received during her various times spent in the hospital. With the achievements she has made in her career, Hikiela has become an inspiration to several individuals. Hikiela Williams is an inspiration to all future nurses or students entering the medical field because she demonstrates hard work, provides for her family, and is truly passionate about her career. Living in the slums of New Jersey and being surrounded by careless people, Hikiela was not provided with the most fundamental childhood. At the age of four, she was hit by a car and rushed to the hospital. It was in that hospital in which Hikiela experienced compassion....
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...just that. Through a detailed analysis of historical data, we can determine, perhaps to a lesser extent, cause and effect relationships. We can also help prevent the present day teachers, managers, and other users of research from making the same mistakes that were made in the past. Historical research can also mean gathering data from situations that have already occurred and performing statistical analysis on this data just as we would in a traditional experiment. The one key difference between this type of research and the type described in the first paragraph concerns the manipulation of data. Since historical research relies on data from the past, there is no way to manipulate it. Studying the grades of older students, for example, and younger students may provide some insight into the differences between these two groups, but manipulating the work experience is impossible. Therefore, historical...
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...limitations of using official statistics for investigating the effects of material deprivation on educational achievement. Material deprivation is a technical name for poverty and its effects on educational achievement. It is a theory put forward by sociologist Harker. Official statistics is a form of secondary data produced and published by the government and its agencies. These are collected in three main ways: government surveys, registration and record-keeping. The strengths of official statistics are that they are easily accessible and cheap. They are an up-to-date source of data which means the researcher doesn’t have to spend time and money collecting information. Official statistics can be useful in providing relevant statistics in areas such as household income. They cover large populations and are therefore representative, which is useful when conducting a large, quantitative study. This information can be linked to educational achievement by studying income alongside educational achievement rates in schools in poor and wealthy areas. Official statistics have shown that students who are from materially deprived backgrounds and who are entitled to free school meals and bus passes are the children who tend to have lower results when they finish school. Attendance is also a factor that has been found through official statistics, to affect how a student will achieve in school. They have also shown that EMA used to affect the achievement of students. The limitations of official...
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...Syllabus School of Business QNT/TM561 Version 2 Research and Statistics for Process Control | Copyright Copyright © 2009, 2005 by University of Phoenix. All rights reserved. University of Phoenix® is a registered trademark of Apollo Group, Inc. in the United States and/or other countries. Microsoft®, Windows®, and Windows NT® are registered trademarks of Microsoft Corporation in the United States and/or other countries. All other company and product names are trademarks or registered trademarks of their respective companies. Use of these marks is not intended to imply endorsement, sponsorship, or affiliation. Edited in accordance with University of Phoenix® editorial standards and practices. Course Description This course prepares graduate students to apply statistics and probability concepts to business decisions in organizations that focus on process improvement. Students learn criteria for developing effective research questions, including the creation of appropriate sampling populations and instruments. Other topics include descriptive statistics, probability concepts, confidence intervals, sampling designs, data collection, and data analysis—including parametric and nonparametric tests of hypothesis and regression analysis. Policies Students/learners will be held responsible for understanding and adhering...
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