...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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...|[pic] |Course Syllabus | | |College of Natural Sciences | | |MTH/233 Version 2 | | |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...
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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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...Hypothesis Testing Paper Hypothesis testing in statistics goes beyond the traditional acceptances of trying to prove a hypothesis correct. Hypothesis testing is matter of accepting what has already been proven until another hypothesis is verified to be true. In the essay, an overview of the hypothesis testing process is described using a fictional example and numerical values to detail the process. The idea formed by the hypothesis, “online students have more stress than traditional on campus students”, is to reject the hypothesis that online college students experience less stress than on campus college students. This is in no way true findings; it is a fictional example to help walk the reader through the steps of hypothesis testing. Hypothesis testing is a king of research used to say how a certain topic of interest will end or how researchers think it will end in the environment. The testing will show that just because one forms an answer it does not prove that the answer is correct for there are many factors that could change the outcome, which is why researchers use probability rates of five or one percent. The null hypothesis endeavors to show that there is no variation between variables, or a single variable is no different from zero. It is surmised to be true until statistical evidence nullifies it for an alternative hypothesis. Null hypothesis is a hypothesis that the researcher endeavors to confute, reject, or nullify. The research hypothesis is the categorical...
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...Grable, CEO of Oxford Cereals visited Oxford Cereal Plant Number 1 with several members of the public, several off-duty firefighters and police officers, and a television reporter, Sharon Danyl. A random day was chosen by Ms. Danyl and the firefighters and police officers randomly collected 40 boxes from each of the cereal’s production lines, collecting a total of 80 boxes of cereal. The 80 boxes of cereal were then boxed and transported to an independent laboratory by agents from Parcel Express Delivery Systems. The boxes were weighed and tested and the results were sent to Oxford Cereals officials and Ms. Danyl concurrently. Ms. Danyl then reported the test results on that night’s news stating that the average weight of the random sample of boxes of cereal were greater than the 368 grams stated on the box labels. The weights of the 80 boxes were provided to us by Oxford Cereals but do not state which weight belongs to which...
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...Table of Contents 1.0 Introduction 4 2 Research Methods 4 3 Hypothesis Testing 5 3.1 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...
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...M Project Report Israel Sharipo September 13, 2013 Abstract This paper shows the true proportions of M&M candies through the random sampling of 3 different bags of plain M&M 1.69oz bag of candy bought from three different stores. I believed one will be able to determine data analysis and how it works as it relates to our class project. Introduction The rationale of writing this paper is to show how statistics data analysis works. Statistics as we learned, is the practice of collecting, organizing, analyzing and interpreting data to make decisions. The two types of data used in the project are sampling and proportions. The methods used can be used by any professional or in any occupation. It can be used to determine the standard deviation, mean of any data among others. Part 1 In part one, each student was asked to take a tally of the 3 bags of candies bought from three different stores. And then we were asked to count the totals of each color in all 3 bags. Part 2 We used the excel data provided to complete the assignment. We looked at the data from two perspectives” color and proportions and the number of candies per bag. For the color proportion; we used the total for each color divided but the total number of candies sampled. As for the number of candies per bag, we use the data in the number candies in bag column. We used the...
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...Christopher Gonzalez, Jennifer Mai, Leonel Perez QNT 351 March 7, 2014 Mr. Victor Ornelas Week 4 Team D Reflection In week four, Team D read about the steps in testing a research hypothesis, comparing the means of two or more groups, and calculating the correlation between two variables. The following paper will go in to more depth on what was discussed and what we learned as a team as well as individuals. The team also was able to go over the Mystat lab that we were assigned in the individual assignment. In step one a team would state a null hypothesis as well as an alternate hypothesis. The null hypothesis is used only for testing. We either reject or fail to reject the null hypothesis. The alternate hypothesis is accepted if sample data provide enough evidence that the null hypothesis is false. No matter what the problem looks like the null hypothesis will always contain the equal sign. This is true because since the null hypothesis is being tested there is a need for a specific value to be seen in the calculations. When comparing the means of two or more groups the team must state the null hypothesis. Random samples of each population must be chosen to show the formula in a working status. To get a more accurate sample a higher number of the populations should be used. An independent sample T-test is used to compare the means of two or more groups. Pooled variance can be used if the variances of the two populations being tested are constant. The correlation...
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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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...Christopher Gonzalez, Jennifer Mai, Leonel Perez QNT 351 March 7, 2014 Mr. Victor Ornelas Week 4 Team D Reflection In week four, Team D read about the steps in testing a research hypothesis, comparing the means of two or more groups, and calculating the correlation between two variables. The following paper will go in to more depth on what was discussed and what we learned as a team as well as individuals. The team also was able to go over the Mystat lab that we were assigned in the individual assignment. In step one a team would state a null hypothesis as well as an alternate hypothesis. The null hypothesis is used only for testing. We either reject or fail to reject the null hypothesis. The alternate hypothesis is accepted if sample data provide enough evidence that the null hypothesis is false. No matter what the problem looks like the null hypothesis will always contain the equal sign. This is true because since the null hypothesis is being tested there is a need for a specific value to be seen in the calculations. When comparing the means of two or more groups the team must state the null hypothesis. Random samples of each population must be chosen to show the formula in a working status. To get a more accurate sample a higher number of the populations should be used. An independent sample T-test is used to compare the means of two or more groups. Pooled variance can be used if the variances of the two populations being tested are constant. The correlation...
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...Dammam. Total Points True/False MCQ Short Answer ____/5 ____/5 ____/15 Total ____/25 Good Luck STATISTICS (STAT-101) Marks- 25 Answer all the Questions on the same question paper. Section-I State whether the following statements are True or False. (5 marks, 1 Mark Each) A Type II error is rejecting a true null hypothesis. F When testing a null hypothesis about a single population mean and the population standard deviation is unknown, if the sample size is less than 30, one compares the computed test statistic for significance with a value from the Z- distribution. F As the level of significance decreases, we are more likely to fail to reject the null hypothesis. T...
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...CHAPTER 9—HYPOTHESIS TESTS MULTIPLE CHOICE 1. The sum of the values of α and β |a. |always add up to 1.0 | |b. |always add up to 0.5 | |c. |is the probability of Type II error | |d. |None of these alternatives is correct. | ANS: D PTS: 1 TOP: Hypothesis Tests 2. What type of error occurs if you fail to reject H0 when, in fact, it is not true? |a. |Type II | |b. |Type I | |c. |either Type I or Type II, depending on the level of significance | |d. |either Type I or Type II, depending on whether the test is one tail or two tail | ANS: A PTS: 1 TOP: Hypothesis Tests 3. An assumption made about the value of a population parameter is called a |a. |hypothesis | |b...
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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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...scales and remain within budget a business should obtain data pertaining to current variations in wage. Today statistics allow a business or businesses to do so in a timely and proficient manner. The purpose of the succeeding report is to communicate a hypothesis statement regarding the wages of Hispanics and Caucasian workers. Team D would like to determine whether race has an influence on the wage of these specific workers. Team D will convey this data of wages in both a numerical and verbal manner. Moreover, it is to describe and perform the five-step hypothesis test on the wages and wage earner data set, including data tables and results of the computations of a z-test or t-test by way of graphical and tabular methods. Also the paper will depict the results of all testing and convey how the results given Team D’s hypothesis testing may be used to answer the research question. Hypotheses Learning Team D’s verbal hypothesis question asks “Does the mean salary of a Hispanic worker exceed thirty thousand dollars and also exceed the mean salary of a Caucasian worker?” The numerical question used for our hypothesis test is µ > $30,000. Another numerical question is µ1>µ2. µ1 is defined as the sample mean of Hispanic workers salaries and µ2 defined as...
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...Team C read about the steps in testing a research hypothesis, comparing the means of two or more groups, and calculating the correlation between two variables. This paper will go into deeper into what we have learned as a team and as well as individuals. I think first we need to state what a research hypothesis is. A research hypothesis is "Represents the hypothesis that will be accepted only if the data provide convincing evidence of its truth. This usually represents the values of a population parameter for which the researcher wants to gather evidence to support." (Statistics for Business and Economics, 2011.) The first thing one must do in testing a research hypothesis is to make sure that a research question is phrased. The second step in this procedure will be to study the proposed theory in terms of parameters. Thirdly a study will be designed. Once this is done the fourth thing that takes place is data is recorded and collected. The fifth thing is the data is summarized and a test statistic is computed. After computing this the sixth thing is the observed significant level is computed. Once all of these things are completed the final and last thing to complete is to draw conclusion. In taking this seven step process one will be able to clearly state the steps in testing a research hypothesis. When comparing the means of two or more groups one must state the null hypothesis. Random samples of each population must be chosen. A independent sample T-tests is used to compare the...
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