CountryCO2ConcernArgentina4.6710.7Australia16.528.75Brazil2.2311.42Burkina Faso0.1111.22Canada14.149.45Chile4.5910.86China6.719.11Ethiopia0.089.49France5.199.94Germany8.929.49Ghana0.4110.73India1.710.77Indonesia2.319.21Israel8.958.66Italy6.710.12Japan9.2910.11Jordan3.69.26Kenya0.3210.41Lebanon4.679.92Malaysia7.859.86Mexico3.9110.7Nigeria0.5410.52Pakistan0.939.09Palestine0.579.04Peru1.7911.09Philippines0.8610.92Poland8.348.73Russia12.659.1Senegal0.5910.01South Africa9.269.44South Korea11.8410.03Spain5.799.88Tanzania0.1610.27Turkey4.399.28U.S.17.028.78Uganda0.1211.23U.K.7.098.78Ukraine6.269.31Venezuela6.411.05Vietnam1.9710.62How strong is this relationship? Obtain the correlation. (Provide your answer to four decimal places.)

Answered: Country CO2 Concern Argentina 4.67…

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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5. 6. 1 5 7 6 5 1 5 7 2 8 6 4 1 9 8 5 6 7 4 4 1 9 3 3 6 8
41. Nineteen immigrants to the U.S were asked how many years, to the nearest year, they have lived in the U.S. The data are as follows: 2; 5; 7; 2; 2; 10; 20; 15; 0; 7; 0; 20; 5; 12; 15; 12; 4; 5; 10. Table 1.15 was produced. Data O 2 4 5 7 10 12 15 20 Frequency Relative Frequency 2 3 3 2 2 2 1 1 № 19 3 19 19 3 10 份 2 19 19 19 2 19 1 19 19 Cumulative Relative Frequency 0.1053 0.2632 0.3158 0.4737 0.5789 0.6842 0.7895 0.8421 1.0000 Table 1.15 Frequency of Immigrant Survey Responses M Fix the errors in Table 1.15. Also, explain how someone might have arrived at the incorrect number(s). b. Explain what is wrong with this statement: "47 percent of the people surveyed have lived in the U.S. for 5 years." c. Fix the statement in b to make it correct. d. What fraction of the people surveyed have lived in the U.S. five or seven years? e. What fraction of the people surveyed have lived in the U.S. at most 12 years? f. What fraction of the people surveyed have lived in the U.S. fewer than 12…
3. Data on different types of flat fish are showm below. Construct a (relative) irequency table and a bar chart. Flounder Halibut | Turbot | Turbot | Flounder Flounder Turbot Flounder Turbot Sole Sole Turbot Halibut Sole Flounder Turbot Sole Halibut Sole Flounder
The store manager of a business that sells jackets is curious if the weather temperature (in degrees Celsius) per day is related to the daily sales (in pesos) earned by the store. He took some random samples and recorded the temperatures and sales for the selected days, which can be found in the next slide. Calculate the correlation coefficient and interpret the result.
Female: 15 14.85 15.2 14.25 13.85 13 13.6 13.7 14.05 12.7 14.05 13.65 13.25 13.25 13.55 12.95 13.55 13.05 11.85 13.2 11 13.8 12.25 12.1 12.1 11.6 11.9 12.05 10.75 11.2 10.55 11.1 10.45 9.6 13.85 14.25 14.8 14 14.5 13.75 13.55 12.55 13.2 13.7 13.35 13.25 12.95 13.4 13.35 13.3 12.3 13.55 12.8 12.4 13.1 12.3 12.6 12.65 11.9 10.2 12.05 11.7 10.4 10.75 9.8 9.6 10.75 9.75 9.55 9.05 14.65 14.2 15.35 14.6 14.3 14.75 13.65 13.7 14.25 13.8 14.1 13.6 14 14.25 13.2 14.4 13.25 13.7 13.15 13.05 13.45 12.4 13.3 12.75 12.2 12.6 11.55 11.6 11.6 10 10.9 10.35 11.75 11.3 10.3 10.9 Male: 13.55 13.75 13.5 14.25 13.35 13.85 13.5 13.1 12.8 12.35 13.25 10.6 12.6 13.35 13.5 13.55 12.9 11.8 13.05 13.4 12.05 11.05 11.8 11.8 11.9 12.35…
I. Chi Diana Vasqu Tim 5 of 9 (4 complete) ▼ i Data Table when stop bet 0.718 1.440 1.943 2.447 3.143 3.707 7 0.711 1.415 1.895 2.365 2.998 3.499 0.706 1.397 1.860 2.306 2.896 3.355 0.703 1.383 1.833 2.262 2.821 3.250 2.228 2.764 2.718 10 0.700 1.372 1.812 3.169 11 0.697 1.363 1.796 2.201 3.106 3.055 3.012 12 0.695 1.356 1.782 2.179 2.681 13 0.694 1.350 1.771 2.160 2.650 14 0.692 1.345 1.761 2.145 2.624 2.977 15 0.691 1.341 1.753 2.131 2.602 2.947 16 0.690 1.337 1.746 2.120 2.583 2.921. within your c 17 0.689 1.333 1.740 2.110 2.567 2.898 18 0.688 1.330 1.734 2.101 2.552 2.878 19 0.688 1.328 1.729 2.093 2.539 2.861 20 0.687 1.325 1.725 2.086 2.528 2.845 21 0.686 1.323 1.721 2.080 2.518 2.831 22 0.686 1.321 1.717 2.074 2.508 2.819 23 0.685 1.319 1.714 2.069 2.500 2.807 2.492 2.485 24 0.685 1.318 1.711 2.064 2.797 25 0.684 1.316 1.708 2.060 2.787 26 0.684 1.315 1.706 2.056 2.479 2.779 2.473 2.467 2.462 2.326 27 0.684 1.314 1.703 2.052 2.771 28 0.683 1.313 1.701 2.048 2.763 a signif 1.311…
5
17. Answer the following questions for two stat classes. Test Scores for Class A 99; 56; 78; 55; 32; 90; 80; 81; 56; 59; 45; 77; 85; 84; 70; 72; 68; 32; 79; 90 Test Scores for Class B 99; 78; 68; 83; 81; 89; 88; 76; 65; 45; 98; 90; 80; 85; 84; 79; 78; 98; 90; 79; 81; 324 a. Create a box plot for each set of data. Use one number line for both box plots. b. Which box plot has the widest spread for the middle 50% of the data (the data between the first and third quartiles)? What does this mean for that set of data in comparison to the other set of data?
2. Suppose you wishes to conduct a study on the flavor acceptability of luncheon meat from commercial, milkfish bone meal, and goatfish bone meal. Commercial luncheon meal is the control group while milkfish bone meal and goat fish bone meal luncheon meat are experimental groups. a. Calculate the mean score of the acceptability of the different luncheon meat b. Calculate the significant differences on the flavor acceptability of luncheon meat from commercial, milkfish bone meal and goat fish bone meal. c. Interpret the result of your analysis. Panelists 1 2 3 4 5 6 7 8 9 10 11 12 Commercial 8 8 7 7 8 8 8 7 9 8 000 9 8 Luncheon Meat Milkfish Bone Meal 8 9 8 8 9 8 9 9 9 8 9 9 Goatfish Bone Meal 7 7 6 6 8 7 7 6 8 7 7 7 Total 23 24 21 21 25 23 24 22 26 23 25 24
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The most obese countries in the world have obesity rates that range from 11.4% to 74.6%. This data is summarized in the following table. Percent of Population Obese Number of Countries 11.4–20.45 32 20.45–29.45 11 29.45–38.45 5 38.45–47.45 0 47.45–56.45 3 56.45–65.45 2 65.45–74.45 1 74.45–83.45 1 (a) What is the best estimate of the average obesity percentage for these countries? (Round your answer to two decimal places.)(b) The United States has an average obesity rate of 33.9%. Is this rate above average or below? (Round your answers to two decimal places.) Since the average for the United Sates is 33.9%, compared to the average obesity rate of %, the United States has an obesity rate % higher than average. (c) How does the United States compare to other countries? (Assume that the United States is included in the data. Assume the other countries in the range 29.45–38.45 have higher obesity than the United States.) 1. The United States has an obesity rate…

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Country	CO2	Concern
Argentina	4.67	10.7
Australia	16.52	8.75
Brazil	2.23	11.42
Burkina Faso	0.11	11.22
Canada	14.14	9.45
Chile	4.59	10.86
China	6.71	9.11
Ethiopia	0.08	9.49
France	5.19	9.94
Germany	8.92	9.49
Ghana	0.41	10.73
India	1.7	10.77
Indonesia	2.31	9.21
Israel	8.95	8.66
Italy	6.7	10.12
Japan	9.29	10.11
Jordan	3.6	9.26
Kenya	0.32	10.41
Lebanon	4.67	9.92
Malaysia	7.85	9.86
Mexico	3.91	10.7
Nigeria	0.54	10.52
Pakistan	0.93	9.09
Palestine	0.57	9.04
Peru	1.79	11.09
Philippines	0.86	10.92
Poland	8.34	8.73
Russia	12.65	9.1
Senegal	0.59	10.01
South Africa	9.26	9.44
South Korea	11.84	10.03
Spain	5.79	9.88
Tanzania	0.16	10.27
Turkey	4.39	9.28
U.S.	17.02	8.78
Uganda	0.12	11.23
U.K.	7.09	8.78
Ukraine	6.26	9.31
Venezuela	6.4	11.05
Vietnam	1.97	10.62