From the following data of the daily wage of 500 workers of a factory find the number ofworkers :(a) whose wages are more than $ 370 but not more than $ 400.(b) whose wages are less than $ 370 but not less than $ 350.Wages not exceeding $ 300 =150 workersWages not exceeding $ 350 = 180 workersWages not exxceeding $ 400 = 240 workersWages not exceeding $ 450 = 400 workersWages not exceeding $ 500 = 500 workers

Answered: Image /qna-images/answer/eaa91b7b-1191-4eee-848b-7ce9de16b974.jpg

Answered: From the following data of the daily…

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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EA24-4. Atul gets a pocket money allowance of Rs. 12 per day. Thinking that this was rather less, he sked his friends about their allowances and obtained the following data which includes his allowance also -(amounts in Rs.). 12, 18, 10, 5, 25, 20, 22, 15, 10, 10, 15, 13, 20, 18, 10, 15, 10, 18, 15, 12, 15, 10, 15, 10, He presented these data to his father and asked for an increase in his allowance as he was getting less than average amount. His father, a statistician, countered pointing out that Atul's allowance was actually 12, 18, 20, 5, 8, 20. more than the average amount. Beconcile these statements.
40)
lecture(12.9): Identify the following variables as categorical or numerical. (a) Th ethnicity of the individual respondents in a political poll of randomly selected group of adults. (b) the income amount of the individual respondents in a political poll of randomly selected group of individuals. (c) The gender of children who have completed Peacock Picture Test.
The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.4 6.6 6.7 6.8 7.1 7.3 7.4 7.8 7.8 7.8 5.5 5.8 6.2 6.6 7.7 7.7 8.5 9.2 10.0 Bank B 4.2 Click the icon to view the table of Chi-Square critical values. ..... Construct a 95% confidence interval for the population standard deviation o at Bank A. min < OBank A min (Round to two decimal places as needed.) Construct a 95% confidence interval for the population standard deviation o at Bank B. min < OBank B < min (Round to two decimal places as needed.) Interpret the results found in the previous parts. Do the confidence intervals suggest a difference in the variation among waiting times? Does the single-line system or the multiple-line system seem to be a better arrangement? O…
The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feec three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.3 6.6 6.7 6.8 7.1 7.3 7.5 7.8 7.8 7.8 Bank B 4.2 5.5 5.9 6.3 6.7 7.7 7.7 8.5 9.3 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 90% confidence interval for the population standard deviation o at Bank A. 0.40 min< OBank < 0.91 min (Round to two decimal places as needed.) A Construct a 90% confidence interval for the population standard deviation o at Bank B. min
The following table shows the scores on a clerical aptitude test and grades in a clerical skills course for 11 business administration students. Determine the grade in the clerical skills course if a student scores 89 on an aptitude test. Aptitude Test (x) Skill Course Grades (y) 86 88 83 85 92 89 79 89 87 92 92 90 91 90 97 93 84 86 82 82 94 94
The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.4 6.6 6.7 6.8 7.1 7.3 7.5 7.7 7.7 7.7 Bank B 4.2 5.5 5.7 6.2 6.7 7.8 7.8 8.5 9.3 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 95% confidence interval for the population standard deviation o at Bank A. min< OBank A min (Round two decimal places as needed.) Construct a 95% confidence interval for the population standard deviation o at Bank B. min < OBank B < min (Round to two decimal places as needed.) Interpret the results found in the previous parts. Do the confidence intervals suggest a difference in the variation among waiting times? Does the single-line system or the multiple-line system seem to be a better arrangement? O A. The…
12) The time it takes to drive to Tampa, Florida. Is this data discrete or continuous? A) Discrete B) Continuous Explain why you chose that answer.
What is the frequency of times the limit was exceeded by less than 6 times
The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.3 6.6 6.7 6.8 7.1 7.2 7.5 7.7 7.7 7.7 Bank B 4.2 5.4 5.8 6.3 6.6 8.4 9.4 10.0 7.7 7.7 Click the icon to view the table of Chi-Square critical values. Construct a 99% confidence interval for the population standard deviation o at Bank A. min < OBank A < min (Round to two decimal places as needed.)
Major League Baseball (MLB) consists of teams that play in the American League and the National League. MLB collects a wide variety of team and player statistics. Some of the statistics often used to evaluate pitching performance are as follows: ERA: The average number of earned runs given up by the pitcher per nine innings. An earned run is any run that the opponent scores off a particular pitcher except for runs scored as a result of errors. SO/IP: The average number of strikeouts per inning pitched. HR/IP: The average number of home runs per inning pitched. R/IP: The number of runs given up per inning pitched. The following data show values for these statistics for a random sample of 20 pitchers from the American League for a season. (chart attached in image) a. What are the values of and (to 3 decimals), if the average number of runs is the dependent variable and the average number of strikeouts per inning pitched and the average number of home runs per inning pitched…
Major League Baseball (MLB) consists of teams that play in the American League and the National League. MLB collects a wide variety of team and player statistics. Some of the statistics often used to evaluate pitching performance are as follows: ERA: The average number of earned runs given up by the pitcher per nine innings. An earned run is any run that the opponent scores off a particular pitcher except for runs scored as a result of errors. SO/IP: The average number of strikeouts per inning pitched. HR/IP: The average number of home runs per inning pitched. R/IP: The number of runs given up per inning pitched. The data in the Excel Online file below show values for these statistics for a random sample of 20 pitchers from the American League for a season. Construct a spreadsheet to answer the following questions.

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