...Hypothesis Testing Paper A hypothesis is a prediction, a tentative explanation for an observance, phenomenon, or scientific problem. A researcher further investigates the hypothesis by testing (“hypothesis,” 2002). More specifically, the way a researcher tests a hypothesis is by hypothesis testing. “Hypothesis testing is a procedure for deciding whether the outcome of study (results for a sample) supports a particular theory or practical innovation, which is thought to apply to a population” (Aron, Aron, & Coups, 2009, p. 107). In this paper, team E chose to describe the results of a hypothesis test on the 401k plan for two different companies. Team E formulated a numerical and verbal hypothesis statement regarding the 401k plans of two companies, and performed the five-step hypothesis. Finally, team E describes the results and explains how one can use hypothesis testing to evaluate solutions, which may help assist in the decision of which company has a better 401k plan. Benefits are not just for the end of one’s career even though typically many individuals think of benefits as basic insurance coverage. A respectable benefit plan can take into account many additional perks that offer true substantial gains in relation to the competition. As a result one may seek employment with a company whose 401k plan can be of assistance to allow one to begin building a tax-deferred retirement nest egg early. Take into account the amount the company will match, if any, and the maximum...
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...Sample Hypothesis Testing Paper RES/342 Two-Sample Hypothesis Research Question A company decides to purchase homes to rent out to their employees. They have to decide if purchasing homes in a rural area is cheaper than purchasing homes from the inner city. 15 miles from the center of the city is inner city and anything passed 15 miles is rural area. The mean house pricing in the urban area is $232,736 out of a sample size of 59 with a standard deviation of $48,651. The mean house pricing in the rural area is $206,183 out of a sample size of 46 with a standard deviation of $40,896. At the 0.05 significance level, the company assumes that urban area is higher than rural area. Formulating a Verbal and Numeric Hypothesis To formulate a verbal and numerical hypothesis statement one must determine which type of two-sample statistic test the problem describes. The statement indicates that one would perform a right-tailed test. The words “is higher than” indicates that the alternate hypothesis will have the greater than sign in it. The statement also indicates that the standard deviation is known. Using this knowledge one may begin to formulate a verbal hypothesis. The researchers will test the hypothesis statement and try to find sufficient evidence to support the null hypothesis. If the evidence is insufficient one will reject the null hypothesis. If the evidence is sufficient one may fail to reject the null hypothesis. Simply put one is trying to figure out if the company...
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...Nonparametric Hypothesis Test:. Research can be focused in a number of ways, to help refine our topic to a point where we have clear hypotheses statements. If the housing industry was determined to be doing better than the rest of the economy, a hypothesis test might be in order, with mean prices greater than other housing industries. The test to determine the difference is the one sample run (Wald- Wolfowitz test to determine the mean prices to be equal to each home cost (Doane & Seward, 2007). However, March home sales were higher than expected. Our Presidents recent trip aboard has secured enough raw material and additional energy products to secure the USA zone of growth for 100 years. We believe America remains at the top of the economic world and by far the most secure in the housing industry recovery (Dohrmann B, 2011). More often than not, homeowners has maximize their time and search for the best sales for homes by searching information about homes sales and choices(Rosales L. 2011). The housing industry can also find the best buyer’s options that are available to him or her in a similar way that real estate agencies can seek the best sales on homes. However, the homes of the homeowners in the housing industry are set by the regional, state, and local expectations of the buyers and not so much by differences in qualifications of the homeowners. There are still a bright light in our housing futures across the nation (Rosales L, 2011) When the housing industry...
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...The purpose of this paper is to review the hypothesis testing of the influence bank account balances have on ATM transactions. Team A will use a two-sample hypothesis test to compare two means to examine the hypothesis. The first part of the process will develop the hypothesis statement numerically and verbally. The test begins with the determination of the level of significance and decision rule whether to accept or not reject the null hypothesis. Calculating the test statistic will provide basis of the decision according to the critical region. The final section will describe the results in relation to the research question of bank account balance influencing the number of ATM transactions. Hypotheses Team A uses a five step hypothesis testing method as part of the research for this document in determining if two sample groups of bank account balances influence the number of ATM uses in one month. As with the steps for a one population hypothesis test, a two population hypothesis test follows the same sequence. Step one for Team A starts with stating the null hypothesis. Given the data shown in Appendix A and Appendix B, Team A has a hunch that bank account holders with larger balances tend to use ATMs more frequently than low account balance holders. Group A, from Appendix A, hold balances under $1600 for a given month and the Team measures the lower balance account’s ATM transactions during the given month. Group B samples include accounts with balances...
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...researching a hypothesis, compare the means of two or more groups, and calculate the correlation between two variables. In this paper, Team C will explain the steps in researching a hypothesis; illustrate a comparison between the means of two or more groups, and make a calculation of the correlation between two variables. We will also reflect on the topics in week four that we are most comfortable with and the topics we struggled with at the same time. Additionally, we will explain how the topics relate to the applications within our personal or professional fields. Steps in Research Hypothesis In science class as children we were taught that a hypothesis was an educated guess, as we blossom into a more mature age we discover that it goes a bit deeper. A hypothesis can be used in different ways most of them in our daily lives. There are two types of statistical test you can perform. The null hypothesis’s that which represents the status quo to the party performing the sampling experiment—the hypothesis that will be accepted unless the data provide convincing evidence that it is false. The alternative, or research, hypothesis is that which will be accepted only if the data provide convincing evidence of its truth. In statistic, there are seven steps you need to perform to arrive at a statistical hypothesis. The first step is the null hypothesis in which you must state a fact until it is proven to be false. The alternative hypothesis is a rejection of the null hypothesis in which...
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...MGMT600-1501A-03 Null and Alternative Hypothesis Instructor: Professor Dr. Throop, R. February 2, 2015 Null and Alternative Hypothesis A senior executive at Company W is having an issue understanding the concept of null and alternative hypothesis in the snack food research. In this paper, I will make it understandable for him to be able to see how this hypothesis’s work. Though it may be a little cryptic, the concept of null and alternative hypothesis is not very difficult. A null hypothesis is the speculation of a declaration that researchers hope to try to nullify or disprove. The alternative hypothesis is what the researcher actually believes to be the truth about the declaration (M.U.S.E, 2015). A hypothesis involves two types of statements: the null and alternative hypothesis. Statistical implication starts by identifying that research questions can be stated in conditions of a choice between two clear and mutually options. The only reason that null hypothesis and alternative hypothesis are different is chance. Let me break this down so that it will be easier to understand. I will break it down in a formula based statement in regards to the sack food industry. Let us look at this: A researcher must present a statement that is able to be proved or disproved. Once the expectation is known, then a counter statement is provided, which also known as the “null” hypothesis. We can represent this by using the term “H0” which means: H is the hypothesis and 0 is there is no difference...
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...Nonparametric Hypothesis Testing RES/342 Nonparametric Hypothesis Testing During the course of the last three weeks, the team explored the hypothesis testing segment of statistics research. The first part of this assignment was the one sample hypothesis testing. The second was the two or more sample hypothesis testing, and finally in this third week, we will look at nonparametric hypothesis testing. This week’s project is a continuation of the previous projects and entails to build on the identical research question that we will frame a research hypothesis from the same provided data sets (Wage and Wage Earners) using ratio or interval numerical data; however, this week we will use a nonparametric hypothesis test to find our answer. In the next following paragraphs, the team will clearly affirm a hypothesis statement that will provide the base for our survey, perform a five-step hypothesis test on information concerning our choice and apply the concepts of nonparametric testing learned in this course, and describe how the results of our findings answer our research question. Finally, we will conclude this study with a brief summary that will examine the main points, the purpose, and conclusions of this final third week’s study on nonparametric testing. Perform the five-step hypothesis test on the data Nonparametric tests are statistical tests that analyze data that does not require assumptions about the distribution of shape of the population from which...
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...Anxiety can be seen in our everyday life of balancing our jobs, our family, personal problems are in a growing need to upgrade yourself academically your studies can become a source of anxiety. Managing your time in order to meet your deadlines for test, discussion board with your fellow classmates or keeping up with dates for turning in papers all can create a level of anxiety for students. As a student, you are constantly balancing our anxiety levels and those can levels can build as we are preparing for test, because we anticipate what question may or may not be asked, om the test so it quiet normal to feel some anxiety sometimes during your academic career. Anxiety may even help motivate you and increase your performance or it could affect your academic performance. In this study we seek to examine the relationship between student’s anxiety for an exam and the number of hours studied. In statistic when we want to determine the relationship between the dependent and independent variable we are looking for a correlations according to Argosy (2014) correlation strictly determines whether a relationship exists between the two variables under investigation relationship exist. According to Argosy (2014) the use of correlation coefficient process is to be able to make predictions based on existing positive and negative relations. However, if we know the value of one variable, that we should be able to predict the value of the other variable. It’s also important thing to remember...
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...Last week, we found that average performance ratings do not differ between males and females in the population. Now we need to see if they differ among the grades. Is the average performace rating the same for all grades? (Assume variances are equal across the grades for this ANOVA.) You can use these columns to place grade Perf Ratings if desired. A B C D E F Null Hypothesis: Alt. Hypothesis: Place B17 in Outcome range box. Interpretation: What is the p-value: Is P-value < 0.05? Do we REJ or Not reject the null? If the null hypothesis was rejected, what is the effect size value (eta squared): Meaning of effect size measure: What does that decision mean in terms of our equal pay question: 2 While it appears that average salaries per each grade differ, we need to test this assumption. Is the average salary the same for each of the grade levels? (Assume equal variance, and use the analysis toolpak function ANOVA.) Use the input table to the right to list salaries under each grade level. Null Hypothesis: If desired, place salaries per grade in these columns Alt. Hypothesis: A B C D E F Place B55 in Outcome range box. What is the p-value: Is...
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...Last week, we found that average performance ratings do not differ between males and females in the population. Now we need to see if they differ among the grades. Is the average performace rating the same for all grades? (Assume variances are equal across the grades for this ANOVA.) You can use these columns to place grade Perf Ratings if desired. A B C D E F Null Hypothesis: Alt. Hypothesis: Place B17 in Outcome range box. Interpretation: What is the p-value: Is P-value < 0.05? Do we REJ or Not reject the null? If the null hypothesis was rejected, what is the effect size value (eta squared): Meaning of effect size measure: What does that decision mean in terms of our equal pay question: 2 While it appears that average salaries per each grade differ, we need to test this assumption. Is the average salary the same for each of the grade levels? (Assume equal variance, and use the analysis toolpak function ANOVA.) Use the input table to the right to list salaries under each grade level. Null Hypothesis: If desired, place salaries per grade in these columns Alt. Hypothesis: A B C D E F Place B55 in Outcome range box. What is the p-value: Is...
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...|[pic] |Course Design Guide | | |College of Social Sciences | | |PSY/315 Version 3 | | |Statistical Reasoning in Psychology | Copyright © 2012, 2010, 2006 by University of Phoenix. All rights reserved. Course Description This is an introductory course in applied statistics, with particular emphasis in psychology. Both descriptive and inferential statistics are included. In addition, this course provides the basic statistical background and understanding needed. 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...
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...233 Week 4 Individual Assignment: Individual Assignment MTH 233 Week 5 Individual Assignment: Individual Assignment MTH 233 Week 5 Learning Team Assignment: Hypothesis Testing and Regression Analysis Paper only MTH 233 Learning Team Assignment: Hypothesis Testing and Regression Analysis Presentation ----------------------------------------------- MTH 233 Learning Team Assignment Hypothesis Testing and Regression Analysis Presentation For more classes visit www.snaptutorial.com Resources: University Library and the Internet Select a research issue, problem, or opportunity facing a Learning Team member’s organization to examine using hypothesis testing and a regression analysis on the collected data. Write a 1,050- to 1,750-word paper describing a new hypothesis test using a different statistic (e.g., large sample size, small sample size, means and/or proportions, one- and two-tailed tests) to perform on that data. Formulate a new hypothesis statement and perform the five-step hypothesis test on the data. Describe the results of the tests. Interpret the results of the regression analysis, state the limitations of the analysis, and describe the significance of the results to the organization. Be sure to attach the results of the regression analysis created in Microsoft® Excel to your paper. Present the results to the class in a 10-minute PowerPoint® presentation ----------------------------------------------- MTH 233 Week 2 Individual Assignment...
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...same data on my term paper. I will be comparing runway incursions that took place between 2011 and 2012. The data from this group will be independent of each other. The F-Test can also be conducted with data that is unpaired. Data Collection: Techniques in data collection can be from the entire population, or it can be from sample data, which can be random or selected from the population. In the runway incursion F-test the data will be collected from the entire population. Review: The data that was collected for this test was taken from the FAA website, which gives runway incursion totals for each quarter. The given data is from the population. I have chosen the F-test because this will give us variance. Critique: There were a few other tests that could have been conducted, but the F-test was the one that would give me the best results. The T-Test would have been an option for me if I were comparing variance for a single sample. A second option would have been the Chi-test for independence, the problem with this test was I wasn’t testing for independence. I was testing for variance. The F-test was the best fit because I had more than one sample set that was independent from each other. Interpretation: This is where we analyze our hypothesis. In statistical test you have a null hypothesis and a hypothesis. In this case my null hypothesis was there no significant variability differences between runway incursions in 2011 and 2012. The hypothesis was that there were...
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...|[pic] |Syllabus | | |College of Social Sciences | | |PSY/315 Version 2 | | |Statistical Reasoning in Psychology | Copyright © 2010, 2009, 2006 by University of Phoenix. All rights reserved. Course Description This is an introductory course in applied statistics, with particular emphasis in psychology. Both descriptive and inferential statistics are included. In addition, this course provides the basic statistical background and understanding needed. 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...
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...|Individual Fundamentals of |Write a 700- to 1,050-word paper describing the scientific method and the fundamentals of |Mon, 11/18/2013 |10 | |Research Paper |research. Address each of the following in your paper: |11:59 PM MST | | | | | | | | |Define the scientific method. How does it relate to human services research? | | | | | | | | | |What are the steps in the process of scientific inquiry? Why must each of these steps be | | | | |included to support the scientific method? Provide a human services research example of the | | | | |scientific method and identify each step within your example. | | | | | | | | | |Define quantitative research...
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