y 67.7 21.7 73.9 184.2 64.2 19.6 73.1 31.9 86.8 28 83.7 24.8 58.5 8.8 84.9 38.4 78.5 10.7 67.8 39.5 52.5 23.7 49 22 74.4 10 82 29.4 77.4 19.3 82.8 28 72.4 11.4 79 23.7 85.6 48.7 65.2 17.4 79.2 16.2 107.8 49 69.4 19.7 79.1 31.7 82.1 14.6 75.9 29.4 Make a scatter plot of this data. Which point appears to be an outlier? (184.2,73.9) (Enter as an ordered pair.)

y 67.7 21.7 73.9 184.2 64.2 19.6 73.1 31.9 86.8 28 83.7 24.8 58.5 8.8 84.9 38.4 78.5 10.7 67.8 39.5 52.5 23.7 49 22 74.4 10 82 29.4 77.4 19.3 82.8 28 72.4 11.4 79 23.7 85.6 48.7 65.2 17.4 79.2 16.2 107.8 49 69.4 19.7 79.1 31.7 82.1 14.6 75.9 29.4 Make a scatter plot of this data. Which point appears to be an outlier? (184.2,73.9) (Enter as an ordered pair.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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3. Listed below are the speeds from 30 random speeding tickets in Denver over the last week. Create a frequency/relative frequency distribution. 48 92 50 29 40 129 43 108 39 42 57 42 104 83 45 81 45 123 38 48 45 67 32 65 42 46 80 46 100 98
DATA Smallest to larger number order. 46.32 66.54 78.68 86.31 91.28 93.88 96.17 98.18 99.02 104.32 104.7 106.58 108.02 108.77 116.56 117.12 117.15 119.73 123.95 124.9 125.95 128.32 129.19 131.27 131.31 133.55 134.51 137.34 139.16 140.98 141.42 142.51 143.45 147.25 152.66 156.05 158.39 159.07 159.96 167.06 167.35 169.54 172.01 175.1 176.95 182.63 183.57 198.86 201.67 217.31 cumula Relative Mid point (X m) = freque tive interval boundary ncy (f) frequen Class Class frequency f x Xm lower + upper %D су 46+70 46-70 45.5-70.5 = 0. 04 50 = 58 2 x 58 = 116 4 71-95 70.5-95.5 4 = 0. 08 50 83 332 96-120 95.5-120.5 12 18 12 0. 24 108 1296 50 15 121-145 120.5-145.5 15 33 = 0. 30 50 133 1995 9 146-170 145.5-170.5 9 42 = 0. 18 50 158 1422 171-195 170.5-195.5 5 47 = 0. 10 50 183 915 3 196-220 195.5-220.5 3 50 = 0. 06 50 208 624 5. CREATE A BOXPLOT DATA AND CHECK FOR OUTLIERS (EXPLAIN)
The Condé Nast Traveler Gold List provides ratings for the top 20 small cruise ships. The data shown below are the scores each ship received based upon the results from Condé Nast Traveler's Annual Readers' Choice Survey. Each score represents the percentage of respondents who rated a ship as excellent or very good on several criteria, including Shore Excursions and Food/Dining. An overall score was also reported and used to rank the ships. The highest ranked ship, the Seabourn Odyssey, has an overall score of 94.4, the highest component of which is 97.8 for Food/Dining. Shore Ship Overall Food/Dining Excursions Seabourn Odyssey 94.4 90.9 97.8 Seabourn Pride 93.0 84.2 96.7 National Geographic Endeavor 92.9 100.0 88.5 Seabourn Sojourn 91.3 94.8 97.1 Paul Gauguin 90.5 87.9 91.2 Seabourn Legend 90.3 82.1 98.8 Seabourn Spirit 90.2 86.3 92.0 Silver Explorer 89.9 92.6 88.9 Silver Spirit 89.4 85.9 90.8 Seven Seas Navigator 89.2 83.3 90.5 Silver Whisperer 89.2 82.0 88.6 National Geographic…
Please show work Fill in the following information in table 1: percentage, cumlative frequency, and cumlativepercentage Table 1: Same Sex Couples Should Have the Right to Marry, 2006 f % c(f) c(%) Strongly Agree 307 Agree 391 Neither Agree Nor Disagree 260 Disagree 329 Strongly Disagree 695 a. According to Table 1, what proportion (relative frequency) of respondents neither agree nordisagree?b. According to Table 1, what percentage of respondents strongly agree or strongly disagree?c. According to Table 1, how many people do not disagree in some capacity or another?
Jim Smith, a marketing student, observed how much each customer spent in a local convenience store. $ 20.72 $ 16.97 $ 3.16 $ 19.41 12.67 2.60 10.39 9.51 14.95 22.28 5.10 2.47 15.97 5.59 Intervals Frequency $0-5.99 ? $6.00-11.99 ? $12.00-17.99 ? $18.00-23.99 ? Please answer the "?" for the frequency's
Hospital Length of Stay (months) for 16 Patients 1 10.5 10.0 2 4.5 2.0 3 7.5 4.0 4 12.0 11.0 5 7.5 11.0 6 9.0 11.0 7 6.0 6.5 8 5.0 5.0 9 6.0 8.0 10 12.0 16.0 11 7.0 6.5 12 4.5 6.0 13 3.5 3.5 14 6.0 10.0 15 7.5 7.0 16 3.0 5.5 Obtain the regression equation Calculate R2
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An experiment was performed to determine whether different types of chocolate take different amounts of time to dissolve. Forty people were divided into five groups. Each group was assigned a certain type of chocolate. Each person dissolved one piece of chocolate, and the dissolve time (in seconds) was recorded. For comparison, each person in each group also dissolved one piece of butterscotch candy; these pieces were identical for all groups. The data, which include the group, the dissolve times for both chocolate and butterscotch, the difference between the dissolve times, and the ratio of the dissolve times, are presented in the following table. Note that the design is slightly unbalanced; group 3 has nine people and group 5 has only seven. Group Chocolate Butterscotch Difference Ratio 60 135 75 2.25 865 635 230 1.36 122 63 59 1.94 110 75 35 1.47 71 37 34 1.92 81 58 23 1.40 2405 1105 1300 2.18
Number of ChildrenTable 1 shows the number of women (per 1000) between 15 and 50 years of age who have been married grouped by the number of children they have had. Table 2 gives the same information for women who have never been married.1 Number of Children Women per 1000 0 162 1 213 2 344 3 182 4 69 5+ 32 Table 1 Women who have been married Number of Children Women per 1000 0 752 1 117 2 72 3 35 4 15 5+ 10 Table 2 Women who have never been married 1http://www.census.gov/hhes/fertility/data/cps/2014.html, Table 1, June 2014. Condition gt requires numbers instead of "null" and "0" (a) Without doing any calculations, which of the two samples appears to have the highest mean number of children? Women who have been marriedWomen who have never been married Which of the distributions appears to have the mean most different from the median? Women who have been marriedWomen who have never been married…
Hypothesis Testing 8.) Assume that 1823 adults were randomly selected and asked if they had confidence in thegovernment handling of the coronavirus crisis. Of this sample 1127 replied that they did haveconfidence, while 696 said that either they did not have confidence or were unsure. Use a 0.05significance level to test the claim that 60% of adults have confidence in the governmenthandling of the coronavirus crisis.
Wins Attendance (In Millions) 65 2.06 91 2.51 66 1.73 89 3.05 75 3.06 88 2.19 91 2.06 69 1.39 83 2.88 81 2.46 80 1.54 76 2.33 67 1.62 80 3.25 80 3.56 77 2.78 94 3.22 79 2.56 95 3.77 81 1.42 97 3.65 57 1.61 90 2.13 92 3.04 61 2.09 86 3.3 96 1.84 90 2.51 85 1.63 69 1.83 Draw a scatter diagram depicting the correlation between the two variables. Determine the correlation coefficient between the two variables using Excel. Present a regression output between a dependent and one independent variable. Obtain estimated coefficients and R-squared and interpret them. Write a short report on the findings.
Problem 2: Supplement for Weightlifting Continued In comparison to the previous problem, let us say that the weightlifting supplement company informed you that how long a female weightlifter has been lifting impacts the amount of muscle mass they can gain. Suppose that you changed your data collection method from what you did in Problem 1. Now you randomly select one weightlifter from each group (supplement and placebo) that have been lifting for 39 to 40 months. Next, you randomly sample one weightlifter from each group that have been lifting for 37 to 38 months. Then, you continue this process until the 20th pair of weightlifters have lifted for 2 months or less. The data contains the whole body lean mass difference in pounds and training experience in months. Can you infer that the supplement group gained more muscle mass on average than the placebo group? Use a = 0.05 for any hypothesis test. List the conditions necessary to complete this probiem. g) Calculate the test statistic…