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Does the location of your seat in a classroom play s role in attendance or grade? 800 students in a physics course were randomly assigned to one of four groups. The 200 students in group 1 sat 0 to 4 meters from the front of the class, the 200 students in group 2 sat 4 to 6.5 meters from the front, the 200 students in group 3 sat 6.5 to 9 meters from the front, and the 200 students in group 4 sat 9 to 12 meters from the front. Complete parts (a) through (c). Use the Tech Help button for further assistance. (a) For the first half of the semester, the attendance for the whole class averaged 76%. So, if there is no effect due to seat location. we would expect 76%% of students in each group to attend. The data show the attendance history for each group. How many students in each group attended, on average? Is there a significant difference among the groups in attendance patterns? Group 2 3 4 Attendance 0.77 0.77 0.75 0.75 The number of students who attended in the first group was. The number of students who attended in the second group was The number of students who attended in the third group was The number of students who attended in the fourth group was] What are the hypotheses? O A. He: The average allendance in each group is different from the average attendance for the class. Hy : The average attendance in each group is the same as the average attendance for the class. O B. Ho: The average attendance in each group is the same as the average attendance for the class. H, : The average attendance in each group is different from the average attendance for the class. O C. None of these. Compute the P-value. P-value = (Round to three decimal places as needed.) Is there a significant olfference among the groups in attendance patterns? Use the level of significance u = 0.01. O A. Yes. He should be rejected because the P-value of the test is greater than a. Click to select your answer(s).Question Help Does the location of your seat in a classroom play a role in attendance or grade? 1600 students in a physics course were randomly assigned to one of four groups The 400 students in group 1 sat 0 to 4 meters from the front of the class, the 400 students in group 2 sat 4 to 6.5 meters from the front, the 400 students in group 3 sal 6 5 to assistance. 9 meters from the front, and the 400 students in group 4 sat 9 to 12 meters from the front Complete parts (a) through (c) Use the Toch Help button for further (b) For the second half of the semester, the groups were rotated so that group 1 students moved to the back of class and group 4 students moved to the front. The same switch took place between groups 2 and 3 The attendance for the second half of the semester averaged 80%% The data show the attendance records for the original groups. How many students in each group attended, on average? is there a significant difference in attendance patterns? Use the p value approach and ise the level of significance a = 0 05 Group N Attendance 0.84 081 0 78 0.77 The number of students who attended in the first group was 336 The number of students who attended in the second group was 324 The number of students who attended in the third group was 312 The number of students who attended in the fourth group was 308 The wording of the hypotheses is the same as part (a). Compute the P.value for the test with technology and compare to the level of significance a =0 05 P-value = (Round to three decimal places as needed ) Is there a significant difference in attendance patterns? O A. No. because the P-value of the test is greater than the level of significance. O B. Yes, because the P-value of the test is greater than the level of significance O C. No, because the P-value of the test is less than the level of significanceActivity #6 25) Explain what the coefficient of determination (or effect size) is and its importance in examining bivariate data. 26) How is the effect size calculated? 27) What does an effect size of 100% mean? 28) What does an effect size of 60% mean? 29) Calculate and interpret the effect size regarding the influence of number of absences on final grades. 30) What are some other confounding lurking variables that could have influenced the final grade? H 6:08 PM 12/11/2020Question 2: Statistics in Soccer [20 marks] At the end of the European season this summer, there were major talks that Lionel Messi would leave FC Barcelona to join another team. Messi finally decided to stay with Barcelona for an additional year. It seems appropriate to take the opportunity to analyze Messi's per- formance with FC Barcelona. The following table displays the amount of goals he scored each season: Table 2: Statistics of Messi with FC Barcelona Season Appearances Goals scored 2004-2005 9 2005-2006 25 8 2006-2007 36 17 2007-2008 40 16 2008-2009 51 38 2009-2010 53 47 2010-2011 55 53 2011-2012 60 73 2012-2013 50 60 2013-2014 46 41 2014-2015 57 58 2015-2016 49 41 2016-2017 52 54 2017-2018 54 45 2018-2019 50 51 2019-2020 44 31 a. How many goals does Messi score per season on average? [3 marks] b. What is the median? What do the mean and the median both measure? What is the difference between the two? [5 marks] c. Ronaldo fans could say that Messi's season of 73 goals is not representative of Messi's usual scoring habit. Find all the outliers and answer them. [7 marks] d. How much volatile is Messi in terms of goals scored (per season) during his career (with and without outliers)? Comment on your results. [3 marks] e. The measure used to analyze Messi's career (in terms of goals scored per season) might not be optimal. Explain why and give a potentially better measure that could be calculated with the information in the table. [2 marks]Activity #5 16) What is the significance of the slope? 17) What is the significance of the y-intercept? 18) Now, using the LSRL and the corresponding equation, calculated the predicted final grade for a student with 10 absences. How does your answer compare to your answer in item (8)? 19) If a student had 20 absences over the course of the year, what is this student's predicted final grade? 20) If a student had 40 absences over the course of the year, what is this student's predicted final grade? 21) Use your answer in item (20) to explain potential limitations to using a linear regression model. 22) Explain what a data point on the trend line signifies. 23) Explain what a data point above the trend line signifies. 24) Explain what a data point below the trend line signifies.Example 5.6 A company is considering drilling four oil wells. The probability of success for each well is 0.40, independent of the results for any other well. The cost of each well is $200,000. Each well that is successful will be worth $600,000. a) What is the probability that one or more wells will be successful? b) What is the expected number of successes? c) What is the expected gain? d) What will be the gain if only one well is successful? e) Considering all possible results. what is the probability of a loss rather than a gain? What is the standard deviation of the number of successes