All the students study mathematics the number who passed the first test this year is the number who oassed the

ies examined in class. This paper is not a literature review, though a literature review is part of your work. As this course takes place in a compressed timeline, I provided some suggestions for research topics. Feel free to use one of these as a springboard or propose your own. At the end of the second week of class, students submit a three-page research paper prospectus. A research prospectus is a preliminary plan for conducting a study. This is not a detailed and technical research proposal, but rather, an analysis of the issues likely confronted in such a study. In essence, it is a preliminary proposal of work. Research Paper Prospectus Elements To complete the Research Paper Prospectus, consider the following elements. While the prospectus is limited to three pages of body content, remember, students must cover each of these areas as relevant to the plan for research: Research Problem. What is the research problem? A problem is a situation when left untreated, produces a negative consequence for a group, an institution, or a(n) individual(s). What makes it a problem? For whom? Who says so? Assumptions. On what assumptions is the work based? Which assumptions are verifiable in literature? Which assumptions are speculative? Theoretical Issues. What theoretical issues arise from the study? For example, "theoretically," how is the problem and suspected results explained to other scholars? Is there a behavior view? A social systems view? Are there other theoretical orientations to consider in the study's design? Literature Review. What, in general, does the literature say about the topic? While more development is expected for the final paper, a review of major theories, research, and writers in the field is needed. Research Questions. Based on the problem, what are the research questions to be answered? How and why will answering the questions contribute to solving the research problem? Remember....a research question can only be answered with empirical data or information. General Research Plan. In general, what research is necessary to answer the research question. What kind of data is needed? Specify the type, such as surveys, observations, or interviews. Who is to be studied and why? How is the data reduced and made sense of? How is the quality of the data assured? Anticipated Difficulties and Pitfalls. What kind of difficulties and pitfalls are expected in a study of this nature? What can be done to prevent them or minimize their effects? Anticipated Benefits. Who will benefit from the fact this research is undertaken? How? Why? Who might be disturbed by this proposed study? How? Why? Paper Format Requirements The Research Paper Prospectus is presented in standard APA 7 format, with a cover page, running head, body, and references list. The cover page and references do not count toward the three-page requirement. The body uses headers and in-text citations in the manner prescribed by APA. Students should include any references they know at the time they submit the prospectus, though it is expected the references may change or increase in number. Full and complete adherence to APA is required. APA Basics As APA format is the rule, remember the formatting rules shown on the Sample Paper (Links to an external site.): Times New Roman, 12pt 1" margins on all sides Double spaced, with extra line spaces removed (see below) Page numbers in the upper right Two spaces after concluding punctuation 150-250 word abstract with keywords APA-style in-text citations and quote format. Use the Purdue OWL in-text citation information (Links to an external site.)to help you. Alphabetical (by author) reference page with correct reference format. DO NOT trust the reference generator in your word processing program. It is WRONG! Use the Purdue OWL references information (Links to an external site.)to correctly structure references and do so manually.

rst-year students at her small college. Participants in the study (first-year students at her college) complete an online memory task. The students are first shown a list of 120 words. Next, they are shown a list that includes five new words that are completely unrelated to words on the original list. Then they are asked to identify the words on the second list that appeared on the original list. She uses the percentage of new unrelated words that were mistakenly thought to be on the original list as her measure of memory quality. She also asks the students to report several characteristics such as their age, their gender, and a self-assessment of their study skills. Each of the 500 first-year students (268 males and 232 females) at her school volunteers to participate. The professor chose 50 students at random to complete the memory task and answer the questions. The average percentage of new unrelated words that were mistakenly thought to be on the original list was 12%. The professor infers that if all 500 first-year students had completed the study, the results would show that an average of 12% (plus or minus sampling error) of new words were mistakenly identified as original words despite being completely unrelated to the words on the original list.

t way to do that would be to investigate her students’ test performance in a number of ways. The first thing she did was separate her students’ test scores based on the time of day she held her lectures (morning vs evening). Next she recorded the type of test students were writing (multiple choice vs short answer). She selected a random sample of students from her morning (n = 6) and evening (n = 7) classes (total of 13) and recorded scores from two of their tests as shown below. Morning Evening Multiple Choice Short Answer Multiple Choice Short Answer 66 74 70 45 64 55 80 55 72 77 78 55 70 57 84 60 61 58 64 70 67 69 84 60 70 63 DATA Set 1: Good morning sunshine. Is Time of Day important? 1. Prof. Maya recently read an article that concluded students retained more information when attending classes in the morning. Based on this finding she thought students in her morning class might have performed differently on their Short Answer test scores when compared to students in her evening class. Does the data support her hypothesis? [15 points] Multiple Guess! Does Exam Type matter? 2. Prof. Maya also knew that students often did better on multiple-choice tests because they only have to recognize the information (rather than recall it). Given this, she thought students attending the morning class might perform differently on the Multiple-Choice test when compared to the Short Answer test. Does the data support her hypothesis? [15 points] DATA Set 2: We’ll try anything once. Does the new Tutorial Plan work? 3. Combining all of her students (and ignoring time of day), Prof. Maya asked her TAs to try a new – and very expensive - tutorial study plan. She then chose a random sample of 20 students to receive the new study plan and another sample of 30 to continue using the old study plan. Following an in-class quiz, she divided the students into 3 levels of achievement (below average, average, and above average), and then created the frequency table below. Does the new expensive tutorial study plan improve student performance? [15 points] Below average Average Above Average New plan 7 7 6 Old plan 6 15 9 DATA Set 3: How are YOU doing? 4. Finally, Prof. Maya thinks that her 2018 class is doing better than her 2017 class did. She decided to collect a sample of test scores from the students in her course this year (combining all of the groups) and compare the average with her previous year’s class average. Does the data support her hypothesis? [15 points] The 2017 class average = 63% The 2018 sample size = 25 The 2018 sample standard deviation = 11 The 2018 sample average = use your actual midterm mark (yes, you the student reading this :) Bonus: What does it all mean? 5. Bonus: IF Prof. Maya had complete control of how and when she ran her course in 2018, considering all the info you just found in the 3 data sets, write a brief statement of how you would recommend she set-up the course next year – and explain why. [5 points]

t way to do that would be to investigate her students’ test performance in a number of ways. The first thing she did was separate her students’ test scores based on the time of day she held her lectures (morning vs evening). Next she recorded the type of test students were writing (multiple choice vs short answer). She selected a random sample of students from her morning (n = 6) and evening (n = 7) classes (total of 13) and recorded scores from two of their tests as shown below. DATA Set 1: Good morning sunshine. Is Time of Day important? 1. Prof. Maya recently read an article that concluded students retained more information when attending classes in the morning. Based on this finding she thought students in her morning class might have performed differently on their Short Answer test scores when compared to students in her evening class. Does the data support her hypothesis? [15 points] Multiple Guess! Does Exam Type matter? 2. Prof. Maya also knew that students often did better on multiple-choice tests because they only have to recognize the information (rather than recall it). Given this, she thought students attending the morning class might perform differently on the Multiple-Choice test when compared to the Short Answer test. Does the data support her hypothesis? [15 points] DATA Set 2: We’ll try anything once. Does the new Tutorial Plan work? 3. Combining all of her students (and ignoring time of day), Prof. Maya asked her TAs to try a new – and very expensive - tutorial study plan. She then chose a random sample of 20 students to receive the new study plan and another sample of 30 to continue using the old study plan. Following an in-class quiz, she divided the students into 3 levels of achievement (below average, average, and above average), and then created the frequency table below. Does the new expensive tutorial study plan improve student performance? [15 points] Below average Average Above Average New plan 7 7 6 Old plan 6 15 9 DATA Set 3: How are YOU doing? 4. Finally, Prof. Maya thinks that her 2018 class is doing better than her 2017 class did. She decided to collect a sample of test scores from the students in her course this year (combining all of the groups) and compare the average with her previous year’s class average. Does the data support her hypothesis? [15 points] The 2017 class average = 63% The 2018 sample size = 25 The 2018 sample standard deviation = 11 The 2018 sample average = use your actual midterm mark (yes, you the student reading this :) Bonus: What does it all mean? 5. Bonus: IF Prof. Maya had complete control of how and when she ran her course in 2018, considering all the info you just found in the 3 data sets, write a brief statement of how you would recommend she set-up the course next year – and explain why. [5 points]

who oassed the second math test is 27. if 23 students passsed both tests how many failed both