The table below contains the total number of deaths worldwide as a result of earthquakes from 2000 to 2012.Year Total Number of Deaths2000231200121,357200211,685200333,8192004228,802200588,00320066,605200771220082009,201020112012Totala.C.88,0111,790320, 12021,953768823,856What is the proportion of deaths between 2007 and 2012? (not including 2007 or 2012; round to 3 decimal places)d.What percent of deaths occurred before 2001? Enter your answer without the percent sign. (round to 3 decimal places)What is the percent of deaths that occurred in 2003 or after 2010? Enter your answer without the percent sign. (Roundto 3 decimal places)What is the proportion of deaths that happened before 2012? (Round to 3 decimal places.)

Answered: The table below contains the total…

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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Tear Rating,Plate Gap0.08,-0.150.03,0.050.53,0.110.77,0.070.27,-0.030.39,0.140.68,-0.171.83,0.120.24,0.040.07,0.060.14,0.063.99,0.520.08,-0.320.52,0.180.07,-1.040.04,-0.020.38,-0.574.29,-0.440.02,-0.19
Total worldwide coal production (in millions of tons) by year for the decade ending in 2004 was as follows. 1995 5,086 2000 4,935 1996 5,108 2001 5,223 1997 5,136 2002 5,265 1998 5,046 2003 5,648 1999 4,941 2004 6,079 What was the median annual worldwide coal production (in millions of tons)?
Define the following statistical terms: Statistics: Descriptive Statistics: Inferential Statistics:
4. The National Sleep Foundation conducts an annual survey to track sleep related behaviors of U.S. adults. In their most recent survey, a random sample of 1,018 adults answered the question "About how much actual sleep would you estimate you typically get on work nights or weeknights?" The frequency table below summarizes the responses by whether they were less than, equal to, or more than the recommended 7 to 9 hours of sleep and by the age group of the respondent. Less Than 7 Hours Typical Weeknight Sleep Time Recommended 7 to 9 Hours More Than 9 Hours Age Group Total 18 – 34 44 78 109 231 35 – 54 144 200 218 562 55 or older 47 77 101 225 Total 235 355 428 1,018 At the a =0.05 significance level, do the data provide convincing statistical evidence that there is an association between age group and typical weeknight sleep time for adults in the United States?
The data given below show the lives of 50 similar car batteries recordd to the nearest tenth of a year. 2.2 4.1 3.5 4.5 3.2 3.7 3.0 2.6 3.4 1.6 3.1 3.3 3.8 3.1 4.7 3.7 2.5 4.3 3.4 3.6 2.9 3.3 3.9 3.1 3.3 3.1 3.7 4.4 3.2 4.1 1.9 3.4 4.7 3.8 3.2 2.6 3.9 3.0 4.2. 3.5 Prepare a grouped frequency distribution taking the starting point as 1.5 and using 7 number of classes.
A company's price/earnings (P/E) ratio is the company's current stock price divided by the latest 12 months' earnings per share. Suppose the following table shows the P/E ratios for a sample of 10 Japanese companies and 12 U.S. companies. Japan P/E Ratio 152 28 19 127 38 212 65 664 32 69 United States P/E Ratio 16 25 25 42 23 15 Find the value of the test statistic. W = 28 15 28 39 17 15 Is the difference between the P/E ratios for the two countries significant? Use the MWW test and a = 0.01 to support your conclusion. State the null and alternative hypotheses. Ho: The two populations of P/E ratios are identical. H₂: The two populations of P/E ratios are not identical. O Ho: Median for Japanese companies - Median for U.S. companies 20 H₂: Median for Japanese companies - Median for U.S. companies 0 O Ho: Median for Japanese companies - Median for U.S. companies > 0 H₂: Median for Japanese companies - Median for U.S. companies = 0 O Ho: The two populations of P/E ratios are not…
Hours Spent in Child Care 7.5 1.8 0.9 8.0 5.2 6.1 3.3 1.0 4.4 1.6 5.2 11.5 11.6 10.1 9.0 7.3 2.2 1.0 5.2 10.7 7.6 4.1 10.1 6.0 10.1 9.9 10.4 7.0 3.8 9.6 4.1 7.2 4.0 8.5 6.0 7.3 5.4 11.5 9.1 6.5
The data set below represents the ages of 30 executives. Which ages are above the 75th percentile? 42 59 66 48 57 42 56 52 60 54 56 49 66 56 49 62 48 41 49 44 55 41 49 44 27 36 37 43 43 43 Determine the values in the data set above the 75th percentile. If a data value above the 75th percentile appears more than once in the data set, make sure to include that value in your answer the appropriate number of times.
U.S. Bureau of Labor Statistics current population survey of unemployment rate and median weekly earnings to highest degree earned. Note: Data are for persons age 25 and over. Highest Degree Earned Unemployment Rate (%) Median Weekly Earnings ($) Doctoral Degree 1.5 1,743 Professional Degree 1.5 1,836 Master's Degree 2.2 1,401 Bachelor's Degree 2.5 1,173 Associate's Degree 3.4 836 Some College, No Degree 4.0 774 High School Diploma 4.6 712 Less than a High School Diploma 6.5 520 Overall 3.6 907 Based on this data, is it better to earn a doctoral degree or a professional degree? Why?
1. 12 265.2 253.7 2,255.0 132.3 1,295.0 2. 20.2 279.6 286.6 212.8 49.0 466.0 27 311.2 313.8 159.1 6.8 100.3 4 30 328.0 325.9 610.7 4.4 719.0 30 355.0 325.9 610.7 846.8 2,895.9 21.4 281.2 291.4 95.8 104.0 399.5 21.6 292.4 292.2 80.8 0.0 77.2 25.2 292.8 306.6 29.3 190.4 70.3 9 37.2 358.0 354.7 2,863.7 10.9 3,227.8 10 14.4 263.2 263.3 1,435.4 0.0 1,443.0 11 15 272.4 265,7 1,259.3 44.9 828.7 12 22.4 291.2 295.4 33.5 17.6 99.7 13 23.9 299.6 301.4 0.0 3.2 2.5 14 26.6 307.6 312.2 121.3 21.2 41.1 15 30.7 320.4 328.7 757.0 68.9 369.2 Total 10,524.4 1,500.4 12,035.2 The coefficient of determination (r) is The F-ratio is which means that the assessor reject, at the 5% level of significance, the null hypothesis that there is no relationship between the selling price and the area of the house. (Hint: The critical value of Fo5.L13 is 4.67.) Which of the following is an approximate 95% prediction interval for the selling price of a house having an area (size) of 1s (hundred) square feet? O 174.2 to…
Use the following information to answer the next two exercises. The percent of licensed U.S. drivers (from a recent year) that are female is 48.60. Of the females, 5.03% are age 19 and under; 81.36% are age 20-64; 13.61% are age 65 or over. Of the licensed U.S. male drivers, 5.04% are age 19 and under; 81.43% are age 20-64; 13.53% are age 65 or over.
c) Income is thought to have an association with individuals who are smoking. The chart below (Exhibit 8) gives the “amount of income” by the “gender” of those who smoke. From the chart in Exhibit 8, discuss with evidence how smoking is distributed among the gender across the amount of income.Give the percentage estimations to support your discussion.

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