Directed Independent Adult Learning Essay

Course EssentialsPrinciples of Statistics (STA-201-GS) is contriveed to meet the needs of students in many disciplines and professions. The sciences, social sciences, and business be increasingly using quantitative methods. This transmission line proposes the tools and techniques needed to design studies that provide representative entropy for mathematical analysis and statistical interpretation. Topics accept types of statistics, info representations (t opens, graphs, and charts), measures of location and variation, luck models, continuous and discrete statistical distributions, office intervals, hypothesis auditions, and regression and correlation analysis. The emphasis of the manikin is on the exertion of statistical methods to real-world problems. In solving these problems, you be required to intent the appropriate notation and formulas. Problems whitethorn be viewed as statistical studies, and as such you should be able to interpret results and justify conclusion s. This course is to a fault designed to measure your competency in quantitative reasoning/literacy, angiotensin-converting enzyme of the nine institutional learnedness outcomes.Course ObjectivesThe over solely objective of Principles of Statistics is to provide you with the skills needed to perform statistical computations and analyze data. TheseS-3skills fetch practical applications in many disciplines, including the sciences, engineering science, and the social sciences. Upon terminate the course success mounty, you should be able to CO1 Recognize base principles of statistical design. CO2 Organize and summarize data into tables, charts, diagrams, and graphs. CO3 Calculate and interpret measures of central t ceaseency and variation. CO4 Evaluate the likelihood a statistical inference is squ be up. CO5 Apply concepts of the normal distribution. CO6 Apply the appropriate procedures to streak hypotheses. CO7 Examine associations surrounded by variables.CO refers to C ourse Objective.Required TextbooksIn addition to the Course Syllabus, you will need the quest textual matter and solutions manual to do the pop off of the course. These texts are available from the school text supplier, MBS direct. Introductory Statistics, 9th ed., by Neil A. Weiss (San Francisco Pearson/AddisonWesley, 2012). ISBN-13 9780321691224 Students Solutions Manual to Accompany Introductory Statistics, 9th ed, by Neil A. Weiss (San Francisco Pearson/Addison-Wesley, 2012). ISBN-13 9780321691316Course StructurePrinciples of Statistics is a three-credit, twelve-week course consisting of six mental facultys. The modules and their single topics, textbook separates, and fourth dimension frame are as followsMODULETOPICSTEXTBOOK SECTIONSWEEK(S)1The Nature of Statistics descriptive Statistics1.11.4 2.12.5 3.13.41 2-32S-4 course of study for STA-201-GS3Probability4.14.6 and 4.8 5.15.3 6.16.4 7.17.3 8.18.4 9.19.3, 9.5, and 9.6 10.110.3 and 10.5 12.1, 12.2 and 12.3 13.113.4 14. 114.4 15.115.44-54Normal Distributions6-75Inferential Statistics8-96Measures of connexion10-12Each module in the syllabus includes a brief description of the topics covered, a argument of learning outcomes, study materials, and pen assignments. In addition to twelve written assignments, the course requires you to precede quaternion modular quizzes and adept final exam examination exam psychometric testination, and make do a final project. For details on the assignment schedule, demonstrableise the Course Cal closear and the individual modules. Adhering to the schedule outlined in the Course Cal devastationar should ensure comme il faut preparation time for the exams and timely completion of the course. write grantsYou are required to complete twelve (12) written assignments. Many of the written assignments draw on case study debateion exercises at the end of chapters with contract on application and data analysis. Click to view pen date Grading Rubric. grants shou ld be lively electronically with a word processor, preferably using whatever equivalence editor comes with your word touch on software. However, you may jib with your wise man to determine if handwritten and scanned assignments are acceptable. (Important Use the comparability editor to record equations into your word-processed document, not to create the document itself.) When preparing your answers, disport identify each(prenominal) exercise intelligibly by textbook section and exercise number. Be sure to include your name at the top of the paper, as hygienic as the course name and code and the semester andCourse EssentialsS-5year in which you are enrolled. To receive full credit for your answers, you must show all work and include complete solutions. try outzes in that location will be four modular quizzes for this course. The quizzes should be numbern after you complete the deal assignment, online discussion, and written assignments for each module. There will be var ious number of multiple- choice questions in each quiz, each worth one point. The quizzes will be worth 100 points each. You have 30 to 90 minutes to complete the quiz and may come it all once. The quiz is an unproctored online quiz. It is open book, but not open notes. In this hear you are permitted to use only a scientific (nongraphing) calculator and the authorized textbook.Final ExaminationPrinciples of Statistics requires you to take a proctored online final examination. The final exam is three hours long and covers modules 5 and 6 of the course (textbook chapters 8, 9, 10, 12, 13, 14 and 15). It consists of twenty multiple-choice questions. The exam is open book, but not open notes. In this regard you are permitted to use only a scientific (nongraphing) calculator and the authorized textbook. But you are not allowed to shoot the breeze a solutions manual, notes of any kind (including patternd or ungraded activities), or any other university extension sources or sources o f information. The use of blank scratch paper for doing math calculations is permitted during online test administrations. For the final, you are required to use the Colleges Online Proctor Service (OPS). enthrall refer to the Examinations and Proctors section of the Online Student Handbook (see General development area of the course Web site) for further information active scheduling and taking online exams and for all exam policies and procedures. You are strongly advised to schedule your exam within the first week of the semester. Online exams are administered by dint of the course Web site. Consult the course Calendar for the official dates of exam weeks.S-6SYLLABUS for STA-201-GSFinal castYou are also required to complete a final project. This project will address a real world problem by designing a study, collecting data, analyzing the data, and writing up the results. go steady the Final come out section at the end of this syllabus for further details.GradingYour final grade in the course will be determined as follows Written assignments (6 odd numbered) Written assignments (6 however numbered) quizzes (4) Final examination Final project 18 percentage 30 percent 12 percent 20 percent 20 percentTo receive credit for the course, you must earn a letter grade of D or higher on the weighted average of all assigned course work (e.g., exams, assignments, projects, papers, etc.). You will receive a score of 0 for any work not saluteted. garner grades for assignments and exams equate to numerical grades as follows 93100 9092 8889 8387 8082 A A B+ B B 7879 7377 7072 6069 Below 60 (fail) C+ C C D FStrategies for SuccessTo succeed in this course, consider pastime the preliminary move and study tips outlined below.Course EssentialsS-7Preliminary Steps 1. Read the entire Course Essentials section of the syllabus, make sure that all aspects of the course are clear to you and that you have all the materials required for the course. 2. Take the time to re ad the entire Student Handbook section of the course manual. The handbook answers many questions about how to go by by the course, how to schedule examinations and arrange for proctors, and how to get the most from your educational experience at Thomas Edison accede College. 3. Each week consult the Course Calendar in the syllabus to determine the sections in the textbook you are to study. The calendar also indicates the collect dates forsubmitting written assignments and when you should schedule your examinations. It is essential that you follow the calendar each week to ensure that you stay on track throughout the course. 4. Begin your study of statistics by reading the preface to the textbook. This will give you background on the subject matter, as well as an fellow feeling of how the text is organize and a description of other materials available to you. get wind TipsCompleting Assignment modules To complete the assignment modules efficiently and effectively, consider fo llowing these steps 1. Study the assigned sections in the textbook. Note poring over the material in the text requires that you not only read but also work through the illustrative characters. As you study the assigned material in the text, note the highlighted definitions, key facts, formulas, and procedures. 2. Do the self-check act exercises recommended in each module, and check your answers with the solutions in the Students Solutions Manual. These self-check exercises and solutions provide practice and models for modular quizzes and the final exam. 3. Refer to the Written Assignment(s) at the end of each module and complete the exercises therein. Prepare assignments in an organized way, leaving space on your paper for your mentors comments and corrections. Draw graphs accurately using electronic software whenever possible or graph paper (which you can then scan and insert into your assignment. bespeak all work, and use statistical notation and formulas appropriately (see St udy TipsThe Language of Statistics, below). Submit the assignment to your mentor by the due date.Study TipsPreparing for Examinations To prepare for the examinations, consider following these stepsS-8SYLLABUS for STA-201-GS1. Review the encyclopedism Outcomes for each assignment module. 2. Review the key terms listed in the Chapter Review sections of the textbook. 3. Review your assignments and the corrections and comments provided by your mentor. Examination questions will be similar to assigned exercises.Study TipsThe Language of Statistics As you begin to read the textbook, you will quickly discover that learning statistics involves learning a new language. As in all mathematics, the language of statistics consists of symbols and formulas that provide a shorthand for words, phrases, and sentences. Uppercase garner (X), for example, refer to data in a population (a population parameter), whereas lowercase letters (x) refer to data in a sampling (a hear statistic). Other symbols serve as shorthand expressions for various measures. And Greek letters (e.g., , , and ) are also start out of the notation. In statistics we use symbols to communicate results, and we combine these symbols into formulas (mathematical sentences) that define how to use the data to obtain the desired results. These are the conventions of statistics, and you will be expected to use the appropriate symbols and formulas when presenting solutions to exercises. As you study each section in the textbook and encounter new symbols and formulas, you may want to write them d possess in a list, on with their meaning (in the case of a symbol) or description (in the case of a formula). To illustrate Symbol/ mandate X x Meaning/Description Observation in a population Observation in a sample Population mean Sample mean Population standard deviation marrow Number of items in a population Number of items in a sample (lowercase Greek mu)x (lowercase Greek sigma) (uppercase Greek sigma) N nCourse Ess entialsS-9xx nFormula for sample meanIn the sample list given above, note the use of uppercase and lowercase letters in the notation of population (parameter) and sample (statistic), respectively. Be sensitive to population versus sample data and results, and do not confuse the notation. A list like the one illustrated above may provide a handy reference as you proceed through the course and perhaps swear out you focus on essential points when you prepare for the exams. Including a cross reference to pages in the text may also be helpful.S-10SYLLABUS for STA-201-GSCourse CalendarUsing the table of week-by-week dates in the General Course Instructions section of the course manual, write the dates for the current semester in the second column. In the last column, fill in the actual date for submitting each assignment and taking examinations.MODULE learnSTEXTBOOK SECTIONSWRITTEN ASSIGNMENT/ Quiz/ psychometric testDUE DATE/ EXAM DATE staff 1The Nature of Statistics 1 1.11.4 WA1 and WA2 and Quiz 1 Submit by sunlight of hebdomad 1 staff 2Descriptive Statistics 2 3 2.12.5 3.13.4 4.14.6 and 4.8 WA3 Submit by sunshine of Week 2 WA4 and Quiz 2 Submit by Sunday of Week 3 Module 3Probability 4 5 4.14.6 and 4.8 5.15.3 WA5 Submit by Sundayof Week 4 WA6 and Quiz 3 Submit by Sunday of Week 5Module 4 Normal Distributions 6 7 6.16.4 7.17.3 WA7 Submit by Sunday of Week 6 WA8 and Quiz 4 Submit by Sunday of Week 7 Module 5Inferential Statistics 8 9 8.18.4 9.19.3, 9.5, and 9.6 10.110.3 and 10.5 12.1, 12.2 and 12.3 WA9 Submit by Sunday of Week 8 WA10 Submit by Sunday of Week 9Module 6Measures of Association 10 11 12 13.113.4 14.114.4 15.115.4 Review WA11 Submit by Sunday of Week 10 WA12 Submit by Sunday of Week 11 Final ProjectS-11MODULEDATESTEXTBOOK SECTIONSWRITTEN ASSIGNMENT/ Quiz/EXAMINATIONDUE DATE/ EXAM DATESubmit by Saturday of Week 12 Final Examination (Modules 56, chapters 8, 9, 10, and 1215 ferment your textbook and a scientific calculator, but not your solutions manual or any other notes) ravish remember to submit your DIAL Course EvaluationS-12SYLLABUS for STA-201-GSmoduleThe Nature of StatisticsTOPICSModule 1 covers the following topics statistics basics sample vs. population ergodic sampling experimental designOBJECTIVESafter successfully completing Module 1, you should be able to MO1.1 Recognize the difference between sample and population. (CO1) MO1.2 Explain the concept of sampling. (CO1) MO1.3 Recognize the components of experimental design. (CO1) Note MO refers to Module Objective. breeding MATERIALSTextbook ReadingsStudy sections 1.1, 1.2, 1.3, and 1.4 in the textbook.ACTIVITIESModule 1 has deuce written assignments and one modular quiz. amuse consult the course Calendar for the due dates.Written Assignment 1S-13Write a short introduction of yourself and your interest in statistics and provide an example you use statistics in everyday life.Written Assignment 2This written assignment draws on case study discussion exercises at the end of chapter. When preparing your assignment, please identify each answer clearly by question and its number. Case Study Greatest American Screen Legends (p.31) Answer questions a, b, c.Quiz 1 and Self-Check habituate ExercisesAt the end of this module, you are required to take an unproctored online quiz. Quiz 1 contains five (5) multiple-choice questions found on related chapter(s) of Module 1. You can take it only once. To better prepare for this quiz, work through the following self-check practice exercises from the textbook first. Then check your solutions with those in the Students Solutions Manual. Do not submit your solutions to self-assessment items to your mentor.Self-Check Practice Exercises 1.1 a,b (sample vs. population) 1.34 a,b,c (random sampling) 1.62 a,b,c (experimental units)S-14SYLLABUS for STA-201-GSmoduleOrganizing and Describing infoTOPICSModule 2 covers the following topics frequency table, stem and leaf plot histogram sample mean and medial sam ple standard deviation distribution shape measures of central tendency measures of dispersion Five-number summary population parameters standard scoresOBJECTIVESAfter successfully completing Module 2, you should be able to MO2.1 Recognize types of data. (CO2) MO2.2 Group data into tables. (CO2) MO2.3 Use visualizations of data to alter communication. (CO2) MO2.4 Describe a set of sample data using measures of central tendency. (CO3) MO2.5 Calculate measures of variation a set of sample data. (CO3) MO2.6 Recognize the difference between a statistic and parameter. (CO3) MO2.7 Convert data to standardized score. (CO3)STUDY MATERIALSTextbook ReadingsStudy sections 2.1, 2.2, 2.3, 2.4, 2.5, 3.1, 3.2, 3.3, and 3.4 in the textbook.ACTIVITIESS-15Module 2 has cardinal written assignments and one modular quiz. Please consult the course Calendar for the due dates.Written Assignment 3Write your response to the following question. We often hear you can lie with statistics. This is one way of saying statistics can be tardily miscommunicated. Find one example of how statistics are miscommunicated and explain why there was a miscommunication and what you would do to correct this problem.Written Assignment 4The written assignment draws on case study discussion exercises at the end of chapter. When preparing your assignment, please identify each answer clearly by question and its number. In your own words, interpret the data and note the shape of the distribution of the data provided from Case Study Highest Paid Women (Chapter 2, p. 35). To help guide your interpretation, include the following frequency table, stem and leaf plot histogram sample mean and median sample standard deviation.You must calculate results by hand (though you may use any applied science of your choice to verify your answers).Quiz 2 and Self-Check Practice ExercisesAt the end of this module, you are required to take an unproctored onlinequiz. Quiz 2 contains eighteen (18) multiple-choi ce questions based on related chapters of Module 2. You can take it only once. To better prepare for this quiz, work through the following self-check practice exercises from the textbook first. Then check your solutions with those in the Students Solutions Manual. Do not submit your solutions to self-assessment items to your mentor.Self-Check Practice Exercises 2.7 a,b,c (number types) 2.27 a,b,c (frequency tables) 2.71 a,b (stem and leaf plot) 2.75 a,b,c (histograms) 2.101 a,b (distribution shape) 3.15 a,b,c (sample statistics measures of central tendency)S-16SYLLABUS for STA-201-GS 3.73 (sample statistics measures of dispersion) 3.125 a,b,c,d,e (Five number summary) 3.163 a,b,c (population parameters) 3.165 a,b (standard scores)Module 2S-17moduleProbabilityTOPICSModule 3 covers the following topics luck outcomes basic probabilities events rules of chance conditional probability multiplication rule/independent events permutations combinations basic counting rul e probability distributions discrete randomvariables factorials Bernoulli trials binomial distributionOBJECTIVESAfter successfully completing Module 3, you should be able to MO3.1 Apply principles of probability. (CO4) MO3.2 Recognize rules of probability. (CO4) MO3.3 Apply counting rules to probability. (CO4) MO3.4 Calculate the mean and standard deviation for discrete random variables. (CO4) MO3.5 Calculate Bernoulli trials. (CO4) MO3.6 Apply principles of binomial distribution. (CO4)STUDY MATERIALSTextbook ReadingsS-18Study sections 4.14.6, 4.8, 5.1, 5.2, and 5.3 in the textbook.ACTIVITIESModule 3 has two written assignments and one modular quiz. Please consult the course Calendar for the due dates.Written Assignment 5 Write your response to the following topic. Using probability How can you use probability to cleanse your chances of winning at a casino. Provide specific examples using concepts learned in this module.Written Assignment 6The written assignment draws on case study discussion exercises at the end of chapter. When preparing your assignment, please identify each answer clearly by question and its number. Case Study Texas Holdem (p.209) Answer a,b,c,d,e,f,g. You must calculate results by hand (though you may use any technology of your choice to verify your answers).Quiz 3 and Self-Check Practice ExercisesAt the end of this module, you are required to take an unproctored online quiz. Quiz 3 contains ten (10) multiple-choice questions based on related chapters of Module 3. You can take it only once. To better prepare for this quiz, work through the following self-check practice exercises from the textbook first. Then check your solutions with those in the Students Solutions Manual. Do not submit your solutions to self-assessment items to your mentor.Self-Check Practice Exercises 4.9 a,b,c (probability outcomes) 4.15 a,b,c,d,e (basic probabilities) 4.51 a,b,c,d (events) 4.69 a,b,c,d (rules of probability) 4.112 a,b,c,d,e (conditional pro bability) 4.135 a,b,c,d,e (multiplication rule/independent events) 4.181 a,b,c,d (permutations) 4.189 a,b,c,d (combinations) 4.195 a,b,c (basic counting rule) 5.7 a,b,c,d,e (probability distributions) 5.21 a,b,c (discrete random variables) 5.45 a,b,c,d (factorials) 5.51 a,b (Bernoulli trials) 5.61 a,b,c,d,e,f,g,h,I,j (binomial distribution)Module 3S-19moduleNormal DistributionsTOPICSModule 4 covers the following topics shape of the normal deviate properties of the normal curve area under(a) curve z-score normal probability plots sampling distribution theory sampling mean standard phantasm of mean sampling distribution of the sample meanOBJECTIVESAfter successfully completing Module 4, you should be able to MO4.1 Recognize the principles of the normal curve. (CO5) MO4.2 Calculate area under the curve. (CO5) MO4.3 Develop and interpret a normal probabilityplot. (CO5) MO4.4 Apply concepts of the sampling distribution. (CO5)STUDY MATERIALSTextbook ReadingsStudy sections 6.1, 6.2, 6.3, 6.4, 7.1, 7.2, and 7.3 in the textbook.ACTIVITIESS-20Module 4 has two written assignments and one modular quiz. Please consult the course Calendar for the due dates.Written Assignment 7Write your responses to the following topic. Outliers We know many types of data fall into a normal distribution with most of the observations falling toward the middle. However, sometimes data are outliers or data that are very different larger or smaller from the rest of the members of the sample. Think of an example in the real world of an outlier and discuss its effect.Written Assignment 8The written assignment draws on case study discussion exercises at the end of chapter. When preparing your assignment, please identify each answer clearly by question and its number. Case Study Chest Sizes of Scottish Militiamen (p.295) Answer a,b,c,d. You must calculate results by hand (though you may use any technology of your choice to verify your answers).Quiz 4 and Self-Check Pract ice Exercises At the end of this module, you are required to take an unproctored online quiz. Quiz 4 contains ten (10) multiple-choice questions based on related chapters of Module 4. You cantake it only once. To better prepare for this quiz, work through the following self-check practice exercises from the textbook first. Then check your solutions with those in the Students Solutions Manual. Do not submit your solutions to self-assessment items to your mentor.Self-Check Practice Exercises 6.23 a,b,c (shape of the normal curve) 6.48 (properties of the normal curve) 6.54 (properties of the normal curve) 6.55, a,b,c,d (area under curve) 6.59 a,b,c,d (area under curve) 6.71 (z-score associated with an area) 6.75 a,b (z-score associated with an area) 6.98 a,b (calculate z-score and find area) 6.123 a,b,c (normal probability plots) 7.2 (sampling distribution theory) 7.17 a,b,c d, e (sampling mean) 7.49 a,b (standard error of mean) 7.71 a,b,c,d,e (sampling distribution of the sample mean)Module 4S-21moduleInferential StatisticsTOPICSModule 5 covers the following topics point estimate confidence intervals, population one mean margin of error t-distribution confidence intervals, sample one mean null, alternative hypotheses type I,II errors p-values sarcastic values one tail critical values two tails pooled hypothesis variables pooled samples t-test confidence intervals pooled samples non-pooled samples t-test confidence intervals non-pooled samples paired t-test confidence intervals paired t-test one proportion z interval margin of error for p one proportion z test two proportions z test confidence internal two proportionsOBJECTIVESAfter successfully completing Module 5, you should be able to MO5.1Construct confidence intervals to make decisions. (CO6) MO5.2 Recognize errors in hypothesis testing probability plot. (CO6) MO5.3 Interpret p-values with hypotheses tests. (CO6) MO5.4 Determine if there is a difference between mea ns. (CO6)S-22STUDY MATERIALSTextbook Readings Study sections 8.1, 8.2, 8.3, 8.4, 9.1, 9.2, 9.3, 10.1, 10.2, 10.3, 10.5, 12.1, 12.2, and 12.3 in the textbook.ACTIVITIESModule 5 has three activities. Please consult the course Calendar for the due dates.Written Assignment 9Write your responses to the following topic. Errors in testing Think of one example of a shell I and Type II error in everyday life and comment on the ramifications of those errors.Written Assignment 10This written assignment draws on case study discussion exercises at the end of Chapter 8. When preparing your assignment, please identify each answer clearly by question and its number. Case Study The amputate Ahoy 1,000 Chips Challenge (p.357) Answer a,b,c,e (NOT d). You must calculate results by hand (though you may use any technology of your choice to verify your answers).Module 5 Self-Check Practice Exercises At the end of module 5 and 6, you are required to take a proctored online final exam. To better prepare for the final exam, work through the following self-check practice exercises from the textbook first. Then check your solutions with those in the Students Solutions Manual. Do not submit your solutions to self-assessment items to your mentor. Self-Check Practice Exercises 8.4 a,b (point estimate) 8.32 a,b (confidence intervals, population one mean) 8.62 (margin oferror) 8.81 a,b,c (t-distribution) 8.93 a,b (confidence intervals, sample one mean) 9.6 a,b,c (null, alternative hypotheses) 9.22 a,b,c,d,e (type I,II errors) 9.50 a,b,c (p-values) 9.33 a,b,c,d,e,f (critical values one tail) 9.34 a,b,c,d,e,f (ciritcal values two tails) 10.9 a,b,c,d (pooled hypothesis variables)Module 5S-23 10.39 (pooled samples t-test) 10.45 (confidence intervals pooled samples) 10.71 (non-pooled samples t-test) 10.77 (confidence intervals non-pooled samples) 10.142 a,b,c,d,e,f (paired t-test) 10.148 a,b (confidence intervals paired t-test) 12.26 one proportion z interval 12.34 a, b, c, d, e, f (margin of error for p) 12.66 a, b (one proportion z test) 12.93 a, b, c (two proportions z test) 12.99 a, b (confidence internal two proportions)S-24SYLLABUS for STA-201-GSmoduleMeasures of AssociationTOPICSModule 6 covers the following topics chi-square distribution goodness of fit test misfortune tables chi-square assumptions chi-square test of independence linear equation definition graphing linear equations least squares criterion regression calculation and esteem sum of squares and r2 correlation definition correlation coefficient residual plot regression t-testOBJECTIVESAfter successfully completing Module 6, you should be able to MO6.1Recognize the characteristics of the chi-square distribution. (CO7) MO6.2 Determine if there is an association within a contingency table. (CO7) MO6.3 Represent the relationship between two variables as a linear equation. (CO7) MO6.4 Apply the regression equation to make predictions and extrapolate data. (CO7) MO6.5 Recognize the characteristics of the the correlation coefficient. (CO7) MO6.6 Determine the strength of correlation between two variables. (CO7) MO6.7 eviscerate inferences from the results of a linear regression. (CO7)STUDY MATERIALSTextbook Readings Study sections 13.1, 13.2, 13.3, 13.4, 14.1, 14.2, 14.3, 14.4, 15.1, and 15.2 in the textbook.S-25ACTIVITIESModule 6 has three activities. Please consult the course Calendar for the due dates.Written Assignment 11Write your responses to the following topic. Association We know association does not imply causation, but what does this mean in your own words. Provide and discuss an example of two variables that are associated but not by a cause and effect relationship.Written Assignment 12This written assignment draws on case study discussion exercises at the end of Chapter 14. When preparing your assignment, please identify each answer clearly by question and its number. Focusing on Data Analysis Using the data from Chapter 1 UWEC Undergraduates (pp. 3031), and answer questions a,b,c,d,e,f,g (UWEC Undergraduates, p. 666). You must calculate results by hand (though you may use any technology of your choice to verify your answers).Module 6 Self-Check Practice Exercises At the end of module 5 and 6, you are required to take a proctored online final exam. To better prepare for the final exam, work through the following self-check practice exercises from the textbook first. Then check your solutions with those in the Students Solutions Manual. Do not submit your solutions to self-assessment items to your mentor. Self-Check Practice Exercises 13.1 (chi-square distribution) 13.7 a,b (chi-square distribution tables) 13.27 a,b,c (goodness of fit test) 13.45 a,b,c,d (contingency tables) 13.73 a,b (chi square assumptions) 13.76 (chi square test of independence) 14.1 a,b,c (linear equation definition) 14.5 a,b,c,d,e (graphing linear equations) 14.40 a,b, (least squares criterion) 14.52 a,b,c,d,e,f,g (regre ssion calculation and estimation) 14.90 a,b,c,d (sum of squares and r2) 14.110 a,b,c (correlation definition) 14.124 a,b,c,d (correlation coefficient) 15.24 a,b,c,d (residual plot) 15.52 (regression t-test)S-26SYLLABUS for STA-201-GSFinal ProjectYou are required to complete a final project. Please consult the Course Calendar for the due date.Project DescriptionStatistics is about more than calculations. It is about turning data into information and using this information to understand the population. A statistician will be asked to help solve real world problems by designing a study, collecting data, analyzing the data, and writing up the results. As a final project, you will be asked to do something similar. Though the design and data accrual will be done for you, you will be asked to analyze the data using the appropriate tests (ensuring the data are distributed normally) and write up the results, using statistical differentiate to support your findings. Lastly, you will be asked to include recommendations, that is, apply the results to solve the real world problem. In your paper, explain why you chose each statistical test, figure, or procedure.The problemDue to financial hardship, the Nyke shoe company feels they only need to make one size of shoes, unheeding of gender or height. They have collected data on gender, shoe size, and height and have asked you to tell them if they can change their business model to include only one of shoes regardless of height or gender of the wearer. In no more 5-10 pages (including figures), explain your recommendations, using statistical evidence to support your findings. The data found are below Show Size 5.00 7.50 9.00 7.00 11.00 12.00 14.00 7.00 7.50 8.00 10.50 Height 63.00 70.00 70.00 64.00 72.00 72.00 76.00 66.00 71.00 68.00 71.00 Gender womanly pistillate Female mannish phallic Male Male Female Female Female MaleModule 5S-2711.00 6.50 7.00 7.50 10.00 12.00 6.50 10.50 12.00 6.00 6.50 10.00 9.50 11.50 14.0 0 6.50 13.50 7.00 9.50 13.00 11.00 6.00 7.00 7.5071.00 65.00 67.00 70.00 69.00 69.00 65.00 72.00 73.00 60.00 64.00 72.00 69.00 70.00 75.00 63.00 77.00 68.00 68.00 72.00 73.00 62.00 66.00 70.00Male Female Female Female Male Male Female Male Male Female Female Female Male Male Male Female Male Female Male Male Male Female Female FemaleOnly use results in the paper. You may show your work in an appendix, if you would like. Click to view Final Project Grading Rubric.S-28SYLLABUS for STA-201-GS