Thế scientific productivity of major world cities was the subject of a recent study. Th ers published between 1994 and 1997 by researchers from each of the 20 world cities, an ity Number of papers City Number of papers ty 1 24 City 11 15 ty 2 11 City 12 15
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- The scientific productivity of major world cities was the subject of a recent study. The study determined the number of scientific papers published between 1994 and 1997 by researchers from each of the 20 world cities, and is shown below. City Number of papers City Number of papers City 1 1616 City 11 33 City 2 2626 City 12 99 City 3 1212 City 13 2121 City 4 55 City 14 44 City 5 22 City 15 55 City 6 2626 City 16 44 City 7 66 City 17 2020 City 8 2525 City 18 1717 City 9 1616 City 19 2222 City 10 66 City 20 2525 Construct a 95 % confidence interval for the average number of papers published in major world cities. blank <μ<blankThe scientific productivity of major world cities was the subject of a recent study. The study determined the number of scientific papers published between 1994 and 1997 by researchers from each of the 20 world cities, and is shown below. City Number of papers City Number of papers City 1 15 City 11 30 City 2 22 City 12 55 City 3 20 City 13 25 City 4 20 City 14 55 City 5 23 City 15 10 City 6 21 City 16 15 City 7 99 City 17 77 City 8 24 City 18 22 City 9 24 City 19 22 City 10 33 City 20 29 Construct a 9090 % confidence interval for the average number of papers published in major world cities. _______<μ<________The scientific productivity of major world cities was the subject of a recent study. The study determined the number of scientific papers published between 1994 and 1997 by researchers from each of the 20 world cities, and is shown below. City Number of papers City Number of papers City 1 16 City 11 3 City 2 26 City 12 9 City 3 12 City 13 21 City 4 5 City 14 4 City 5 2 City 15 5 City 6 26 City 16 4 City 7 6 City 17 20 City 8 25 City 18 17 City 9 16 City 19 22 City 10 6 City 20 25 Make a 95 % confidence interval for the average number of papers published in major world cities
- The scientific productivity of major world cities was the subject of a recent study. The study determined the number of scientific papers published between 1994 and 1997 by researchers from each of the 20 world cities, and is shown below. City Number of papers City Number of papers City 1 9 City 11 6 City 2 20 City 12 4 City 3 29 City 13 13 City 4 30 City 14 29 City 5 28 City 15 7 City 6 30 City 16 16 City 7 27 City 17 27 City 8 9 City 18 15 City 9 26 City 19 29 City 10 20 City 20 27 Construct a 9090 % confidence interval for the average number of papers published in major world cities. <μ The scientific productivity of major world cities was the subject of a recent study. The study determined the number of scientific papers published between 1994 and 1997 by researchers from each of the 20 world cities, and is shown below. City Number of papers City Number of papers City 1 99 City 11 66 City 2 2020 City 12 44 City 3 2929 City 13 1313 City 4…The UWI Open Campus has commissioned a study to determine how student will perform in ECON3080 based on the hours of studying each semester. Students are separated by gender and the results of the study are given below: Males Females Hours Studying ECON3080 Grade Hours Studying ECON3080 Grade 377 92 182 51 280 100 99 41 187 99 44 38 225 62 387 90 157 91 200 75 280 99 331 48 80 32 263 78 374 88 377 93 141 59 297 49 385 72 229 88 238 30 254 80 105 94 347 80 180 53 119 55 288 48 142 67 241 96 293 45 72 57 318 36 314 82 319 94 196 81 60 60 209 79 319 42 306 79 184 81 167 51 193 56 380 44 239 34 389 88 144 49 122 49 97 100 354 76 337 33 327 94 330 78 181 70 157 57 349 66 262 43 117 35…The owner of a restaurant in Bloomington, Indianna, has recorded sales data for the past 10 years. He has also recorded data on potentially relevant variables. The following table gives data on sales and other potentially relevant variables for that particular restaurant. Sales (thousands of dollars) Year Population Advertising (thousands of dollars) Previous advertising (thousands of dollars) $15713 1 102558 $20 $30 $12937 2 101792 $15 $20 $12872 3 104347 $25 $15 $16227 4 106180 $30 $25 $15388 5 106562 $15 $30 $13180 6 105209 $25 $15 $17199 7 109185 $35 $25 $20674 8 109976 $40 $35 $20350 9 110659 $20 $40 $14444 10 111844 $25 $20 Consider the model: salest = 0 + 1t + 2popt + 3advt + 4advt-1 + t where salest = sales in year t, popt = size of the population residing within 10 kilometres of the restaurant, advt =…
- A factorial experiment was designed to test for any significant differences in the time needed to perform English to foreign language translations with two computerized language translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 6 13 11 10 17 15 System 2 7 13 14 11 15 20 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use . Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4 decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square -value Factor A Factor B Interaction Error TotalA factorial experiment was designed to test for any significant differences in the time needed to perform English to foreign language translations with two computerized language translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 6 13 11 10 17 15 System 2 7 13 14 11 15 20 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use . Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4 decimal places.A study was performed concerning medical emergencies on commercial airline flights. A database was constructed based on calls to a medical communications center from 5 domestic and international airlines representing approximately 15% of the global passenger flight volume from January 2005 to December 2007. There were 11,000 in flight medical emergencies (IFM) among 8,000,000 flights during the study period. Assume that there is at most 1 IFM per flight. Suppose a flight attendant works on 3 flights per day for each of 300 days per year. Also, assume that the flight attendant’s total duration of employment is 20 years. What is the approximate probability that he/she encounter at least 5 IFM’s over a 20 year period? (b) Suppose we observe 80 alcoholics with cirrhosis of the liver, of whom 25 have hepatomas, that is, liver cell carcinoma. Suppose we know, based on a large sample, that t`he risk of hepatoma among alcoholics without cirrhosis of the liver is 25%. What is the approximate…
- An advertising company is comparing published listening figures for differentradio stations and podcasts in order to decide where is the best place to puttheir adverts. The audience figures for the last 20 quarters of radio stationsA and B are in Table 1.Table 1 Audience figures in 100 000’s of radio stations A and B for the last20 quartersRadio Station A Radio Station B109 95103 98105 97110 96108 97106 96105 97109 95112 93112 94115 95111 91113 92112 96115 102105 103109 100107 106105 108108 104page 3 of 9(a) (i) Find the summary values for radio stations A and B, usingDataplotter or otherwise. Copy and complete the table below.Round values, where necessary, to one decimal place. The mean,rounded to one decimal place, is given for you as a check that youhave entered the data correctly. [1]Table 2 Summary values of audience figures in 100 000’s for radiostations A and B.Radio Station A Radio Station BMinMedianMaxMean 109.0 97.8SDIQRRange(ii) Use the two measures of location to say which…The following table contains the results of a survey of daily rental rates of a mid-size car for three major rental car companies at three airport locations on three different days during the year. Is there sufficient evidence to conclude that there is a significant difference among the average daily rental rates for mid-size cars for the three rental car companies? Daily Rental Rates of Mid-Size Cars ($) New York Chicago Miami Hertz 83.9983.99 81.9981.99 73.9973.99 89.9989.99 91.9991.99 45.9945.99 77.9977.99 89.9989.99 72.9972.99 Avis 75.8675.86 77.9977.99 70.9970.99 45.1045.10 86.9986.99 60.9960.99 48.9848.98 97.9997.99 90.9990.99 National 80.0080.00 75.9975.99 57.0057.00 56.0056.00 71.0071.00 53.9953.99 56.0056.00 77.9977.99 67.9967.99 Copy Data ANOVA Source of Variation SSSS dfdf MSMS Company 709.6404709.6404 22 354.8202354.8202 Location 1631.71781631.7178 22 815.8589815.8589 Interaction 1157.83361157.8336 44 289.4584289.4584 Within…A factorial experiment was designed to test for any significant differences in the time needed to perform English to foreign language translations with two computerized language translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 8 13 14 12 17 18 System 2 8 14 16 12 16 22 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use x=0.05. Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4 decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Factor A Factor B Interaction Error Total The p-value for Factor A is…
