SAFMEDS Week Seven ABA 634

5 project topic ideas for final year statistics/ actuarial science student

Construct a box plot for the FTES for 2005–2006 through 2010–2011 and a box plot for the FTES for 1976–1977through 2004–2005.

2) The projected number of navigation systems (in millions) installed in vehicles in North America, Europe and Japan from 2012 to 2016 are shown in the following table Year 2012 2013 2014 2015 2016 Systems Installed 3.9 4.7 5.8 6.8 7.8 a) Draw a scatter diagram for this data. Use “Years since 2012” on the x-axis. Make sure the scatter diagram includes all required elements (axes labels, title, and appropriate scale)b) Use the points for 2013 and 2015 to find an equation of a line modeling this situationc) Use linear regression to find an equation of a line modeling this situationd) Use the equation in b to predict number of systems sold in 2018 and do this again for the equation in part c. What is the absolute and percentage difference between the two equations (use the equation in c as the base equation in the % calculation)e) Now use extrapolation using the last two data points to make a prediction for 2018f) Which method, in your opinion, is optimal to use in this case

kgiba05h_ch10.05 State cancer registry data for colorectal cancer: Total Males Females Population 1,570,000 780,000 790,000 Newly diagnosed cases 793 415 378 Residents with "history of" 12,548 6,983 5,665 Calculate: a. State prevalence of colorectal cancer in males (per 10,000) (compute to one decimal place) b. State incidence of colorectal cancer in females (per 10,000) (compute to two decimal places) Icon Key

2

Work in excel

Exhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification. Freshmen 83 Sophomores 68 Juniors 85 Seniors 64 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals О а.7.815 b. 1.645 с. 2.75 n d.1.96.

Please help. Thank you. CSV file data is below. TSERofReturn AcmeRofReturn -1.99167 -1.03712 2.64815 3.04528 -0.58856 0.44802 -0.76395 0.60781 -0.81178 2.51735 -0.14212 1.70972 0.17677 -0.27609 0.54349 1.18672 -0.09428 0.49632 0.3681 -3.08347 0.60727 1.4182 1.3726 0.1878 -0.8915 -1.81699 1.8031 0.975 -0.26967 1.85853 2.42493 2.33005 -0.95528 -0.48742 -0.28562 -0.15591 -2.13517 -1.67924 -0.85961 1.57905 1.0856 -4.09194 -1.06689 -0.43368 0.04922 1.22281 3.2381 -0.55675 1.05371 -0.23124 -1.1785 -5.10525 1.11749 0.5909 -0.01456 1.70857 1.13344 0.93883 2.6641 0.92507 -1.33795 0.9294 -1.65683 -1.93668 -2.21489 -5.10648 -1.19445 0.47456 -0.461 0.19373 0.6551 -0.44915 1.5161 -1.11084 3.42943 2.58471 -0.3175 1.17337 -0.47695 -1.08238 -1.13067…

Raw Data:  {3.5,2.7,1.6,2.9,1.7,5.3,7.5,8.2,4.6,1.3,4.7,9.4,7.6,3.9,3.2,8.1,4.9,5.7,2.6,3.2,6.5,4.8,3.5,4.8,9.2,4.9,1.1,2,6.4,7.1}{3.5,2.7,1.6,2.9,1.7,5.3,7.5,8.2,4.6,1.3,4.7,9.4,7.6,3.9,3.2,8.1,4.9,5.7,2.6,3.2,6.5,4.8,3.5,4.8,9.2,4.9,1.1,2,6.4,7.1} The gap between the first and second class is 0.1. What number should you subtract from each lower limit and add to each upper limit to find the class boundaries? 0.12=0.12=Answer Class Lower Class Boundary  Upper Class Boundary 1.1−2.71.1−2.7 1.1−0.05=1.051.1−0.05=1.05 2.7+0.05=2.752.7+0.05=2.75 2.8−4.42.8−4.4 2.8−0.05=2.8−0.05= Answer 4.4+0.05=4.454.4+0.05=4.45 4.5−6.14.5−6.1 Answer −0.05=4.45−0.05=4.45 6.1+0.05=6.156.1+0.05=6.15 6.2−7.86.2−7.8 6.2−6.2− Answer =6.15=6.15 7.8+0.05=7.8+0.05= Answer 7.9−9.57.9−9.5 Answer Answer Answer =7.85=7.85 Answer +0.05=9.55+0.05=9.55

The following data represent the number of drivers involved in a fatal crash in 2016 in various light and weather conditions. Complete parts (a) through (e) below. Click the icon to view the table of fatal crashes in various light and weather conditions. Table of number of drivers involved in fatal crashes Weather Normal Rain Snow/Sleet Other Unknown Dark, but Daylight Lighted 14,265 888 5502 484 228 106 815 63 49 250 Light Condition Print Dark 8056 691 145 248 550 Dawn/Dusk Other D 1249 66 93 6 11 5 36 15 82 146 - Done X nd in daylight. in daylight. ining? (For the purposes of this exercise, consider a probability less than 0.05 To be low.) raining because the probability P(Raining and Dark without lighting) =is A. A better question would be "Among the drivers on the road when it is dark and raining, what proportion result in a fatality?" ▼

Please answer section c questions.