have a exam in january want too solve them to you

r isn't the best at saying things like "this is what this is" and "that is what that means"

ove it if anyone would be willing to help me get ready for it.

ution, regression, decision trees Past paper has 5 questions (attached), we will have 4. Complexity of questions will be reduced slightly for decision trees and regression. Visualisation question – written in word file or hand-written and scanned or photographed. Normal distribution: Sketch using online normal distribution visualisation applet (add notes around this to discuss if necessary) or sketch by hand and scan or photograph. For mathematical workings, use formulae sheet, copy, paste and adapt, or scan / photograph your workings and upload. Decision tree – use Office smart shapes, or sketch by hand and scan or photograph. If formulae are required, then use formula sheet, copy, paste and adapt. Regression – written in word file or hand-written and scanned or photographed. MCDA – written in word file or hand-written and scanned or photographed. Remember if they appear, decision trees and regression will be a little less technical than they have been in the past. (To allow more of a buffer with regards to time available to complete and upload). Visualisation and MCDA questions will be more general (strengths and weaknesses, key messages, make some recommendations). Exam questions will be set so as to minimise practical and logistical difficulties in uploading answers.

ers paid another 6.2%. How much will someone earning $34,000 a year pay towards social security out of their gross wages? 2) The population of a town increased from 3350 in 2005 to 4800 in 2010. Find the absolute and relative (percent) increase. 3)A company's sales in Seattle were $400,000 in 2012, while their sales in Portland were $295,000 for the same year. Complete the following statements: a. Seattle's sales were % larger than Portland's. b. Portland sales were % smaller than Seattle's. c. Portland sales were % of Seattle's. 4) A store has clearance items that have been marked down by 55%. They are having a sale, advertising an additional 30% off clearance items. What percent of the original price do you end up paying? 5) A friend has a 83% average before the final exam for a course. That score includes everything but the final, which counts for 15% of the course grade. What is the best course grade your friend can earn? % What is the minimum score your friend would need on the final to earn a 75% for the course? % Give answers accurate to at least one decimal place. 6) A car is driving at 50 kilometers per hour. How far, in meters, does it travel in 3 seconds? meters Give your answer to the nearest meter.

your final exam as 20% of your grade. Write a function to model your final grade if you have a 92% going into the exam. What is the lowest grade you can get on the exam and still receive an A-?"

, all multiple choice. It is a statistics year 1 university course and I have attached a file on the exam topics below. If you understand most of these concepts, I would greatly appreciate any help/tutoring you can provide during this during this test. I also attached a practice test as an example to see what kind of questions will be will be provided. Thank you so much!

tains 40 questions on the material that we have covered during class lectures and the recorded videos (Chapters 1, 2, 3, 4, 5, 8, 9, and 10). You will be given 80 minutes to submit your answers. The final exam will be found under "Online Exams" module on Canvas. The final exam will be available from 8:00 a.m. - 9:35 a.m. and you'll have 80 minutes to complete the test. This means that if you decide to start the exam at 9:00 a.m., you'll have 35 minutes to submit your answers. The test will no longer be available after 9:35 a.m. Please plan accordingly! Before you take the online final exam, make sure to use "Chrome" Browser. Canvas operates best under Chrome. Also, stay as close as possible to your router in order to avoid any internet disconnection problems. You are welcome to use your class notes and the textbook. Make sure to have a periodic table with you, a scientific calculator, and scrap paper. The final exam questions will be in the same format as the previous exams 3 & 4. I will be available this weekend if you have questions.

adolescents. I have completed the Literature review. I have to plan a research design for the thesis. ABOUT THE THESIS: Population- 13+ to 19 years adolescents No of IV s- 2 that is, Gender is the First IV and Locus of Control ( LOC) is the second IV Levels of IV- Gender has 2 levels ( male and female). LOC has two levels ( Internal Locus of Control and External Locus of Control). Both IV s are categorical variables. List of DV s- 1. Self Esteem 2. Coping 3. Happiness 4. Academic motivation 5. Exam Anxiety 6. Life Style Each DV will be measured by using appropriate Statistical scales. All DVs will be taken as continuous variables. All the scales measure the quantitative aspect only. DV MEASUREMENT: Each of the scales that will be used to measure DV contains several areas or dimensions or sub-categories. For example, the self-esteem scale contains 78 items divided into 6 categories like personal, social, emotional, academic, intellectual and moral. THESIS AIM- To check the impact of IV s on each of these DV s in isolation and also investigate the interaction effects between gender and locus of external. I will be using the SPSS package for calculations. PROBLEM: Problem 1: Which is the most appropriate Statistical test or design that should be used here? I believe a 2x2 ANOVA will be best suited here. Problem 2: If I am measuring the impact of IV s on each DV in isolation, should I use several Two Way AONVA tables or a single MANCOVA table? Problem 3: Each of the DV is measured using scales containing several dimensions. Are such dimensions of the scales need to be treated as the levels of the dependent variables? In other words, do the levels of DV are decided as per the dimensions of the scale that was used to measure the DV? If this is so, then even if I am measuring the DV s in isolation; each DV will have multiple levels, which in turn will change my design from Two Way ANOVA to perhaps MANCOVA? What is the right approach here? Note: I have not intentionally divided DV into any levels. Kindly help me to arrive at a statistically significant research design! If possible, kindly briefly explain the type of the design as well as the rational or suitability of the sign for my research problem.

view different questions for my upcoming exam after we complete the assignment.

uestion is how to find equation of a plan passing through A point (1,1,1) and containinig the line r=(-3i+j+5k)+α(3i-j-5k) . Please help me

statistics. I have an exam tomorrow and really need help. The chapters are as follows 1) Discrete Probability Distributions 2) Binomial Distributions 3) Normal Probability Distributions 4) The Central Limit Theorem These are the chapters. Please I need help asap! Whoever is good at these chapters please contact me Thank you

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]

and how to solve: “A history lecture hall class has 15 students. There is a 15% absentee rate per class meeting. Find the probability that exactly one student will be absent from class.” I already know that: n = 15 p = 15% q = 1 - 15 = 1 - 0.15 = 0.85 ...and then you do: p (x = 1) = C 15 & 1 and then... (0.15)^1 (0.85)^14 Please help me understand the rest. Thank you!