Two geysers that are near to each other are labelled as GeyserA and Geyser B. The time between eruptions for a given geyserfollows an exponential distribution. The eruption times of thetwo geysers are independent of one another. The meanamount of time between eruptions of Geyser A is 39 minutes,and the mean amount of time between eruptions of Geyser Bis 66 minutes. Given that exactly one of the geysers eruptswithin the next 49 minutes, determine the probability that itwill be Geyser A.O 0.66540.7850O 0.7252O 0.6953O 0.7551

Given,The mean amount of time between eruptions of Geyser A is 39 minutes. That is, μa = 39…

Answered: Two geysers that are near to each other…

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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Chapter 06, Section 6.3, Problem 035 The pucks used by the National Hockey League for ice hockey must weigh between 5.5 and 6.0 ounces. Suppose the weights of pucks produced at a factory are normally distributed with a mean of 5.79 ounces and a standard deviation of 0.14 ounces. What percentage of the pucks produced this factory cannot be used by the National Hockey League? Round your answer to two decimal places. The percentage of pucks that cannot be used is %.
Question 3 A statistics instructor at a large western university would like to examine the relationship (if any) between the number of optional homework problems students do during the semester and their final course grade. She randomly selects 12 students for study and asks them to keep track of the number of these problems completed during the course of the semester. At the end of the class each student's total marks is recorded along with their final grade. The data follow in Table 2. Table 2 Problem Course Grade 62 51 58 62 68 66 65 68 76 77 66 67 72 73 72 78 73 76 78 78 84 85 91 75 Use the regression equation to preaict a student's final course grade if 75 optional homework assignments are done. ix. Use the regression equation to compute the number of optional homework assignments that need to be completed if a student expects an 85. vii.
QUESTION 9 The following boxplots show the property crime rate per 100,000 residents in the 50 states grouped by regions. The regions are the Midwest (MW), Northeast (NE), South (S), and West (W). MW- NE S- W- 1500 2000 2500 3000 3500 4000 4500 Property Crime (per 100,000 residents) As measured by the interquartile range (IQR), which region has the lowest variation in property crime rates per 100,000 residents? O A. MW O B. NE OC.S O D.W
ent FULL SCREEN PRINTER VERSION 1 BACK NEXT Chapter 09, Section 9.2, Problem 029a Lazurus Steel Corporation produces iron rods that are supposed to be 36 inches long. The machine that makes these rods does not produce each rod exactly 36 inches long. The lengths of the rods are normally distributed and vary slightly. It is known that when the machine is working properly, the mean length of the rods is 36 inches. The standard deviation of the lengths of all rods produced on this machine is always equal to 0.035 inch. The quality control department at the company takes a sample of 20 such rods every week, calculates the mean length of these rods, and tests the null hypothesis, µ = 36 inches, against the alternative hypothesis, µ # 36 inches. If the null hypothesis is rejected, the machine is stopped and adjusted. A recent sample of 20 rods produced a mean length of 36.015 inches. Calculate the p-value for this test of hypothesis. Based on this p-value, will the quality control inspector…
Question 9 A finance officer for a large company wants to find out an estimate for the percentage of company accounts whose payments are more than 30 days overdue. He carries out a survey by randomly selecting a sample of accounts. The results are shown in the table below. Number of days overdue Less than 10 days Between 10 and 30 days More than 30 days Number of accounts 80 28 42 a) Use the information in the table above to find the percentage of accounts in the sample that are more than 30 days overdue. b) Using your answer to part a), find the 90% confidence interval for the percentage of all the accounts in the company that are more than 30 days overdue. Give your answers to the nearest integer. c) The finance officer wants the total width of the 90% confidence interval in part b) to be less than 8%. Work out the smallest sample size that should be taken to achieve this.
Chapter 09, Section 9.2, Problem 029a Lazurus Steel Corporation produces iron rods that are supposed to be 36 inches long. The machine that makes these rods does not produce each rod exactly 36 inches long. The lengths of the rods are normally distributed and vary slightly. It is known that when the machine is working properly, the mean length of the rods is 36 inches. The standard deviation of the lengths of all rods produced on this machine is always equal to 0.035 inch. The quality control department at the company takes a sample of 20 such rods every week, calculates the mean length of these rods, and tests the null hypothesis, µ = 36 inches, against the alternative hypothesis, u # 36 inches. If the null hypothesis is rejected, the machine length of 36.015 inches. stopped and adjusted. A recent sample of 20 rods produced a mean Calculate the p-value for this test of hypothesis. Based on this p-value, will the quality control inspector decide to stop the machine and adjust it if he…
Problem 1 The following data recaps the number of portions of each menu item sold on Friday evening for the past five weeks: Week 1 Week 2 Week 3 Week 4 Week 5 Last Friday Chicken 71 60 55 59 90 Pork Chops 60 43 57 61 81 Prime Rib 90 71 51 59 107 Lobster 82 63 75 80 91 Veal Cutlet 79 40 68 79 90 382 277 306 338 459 a. What is the percentage of total items sold for each menu item averaged over the past five Fridays? b. The manager notes that sales on the second Friday were lower than normal because of a weather problem. Sales on the last Friday were higher than normal because of an in-town sporting event. He believes the number of menu items to be sold this Friday will be about "average"; that is, they will exclude the one lower- than-normal Friday and one higher-than-normal Friday. 1. What is the total number of entrées expected to be served this Friday?
step 1 of 3: find the second quartile. step 2 of 3: find the first quartile. step 3 of 3: find the third quartile.
Section 2.1, question 9
Age is a variable that is important in most if not all epidemiological studies of health because our health is so strongly related to age. The following table is a two-dimensional table that summarizes the distribution of age in a certain population every five years starting with 1970 (the first row) to 2000 (the last row). Each row contains information for one year. Reading across the row (over the column), the table shows the number of individuals in each age group. If you choose this option, please do the following: (a) using the data provided, produce a new two-dimensional table that shows, for each year, the percentage of that year’s total population in each age interval (Tip! In each row, the sum of your percentages should be 100%); and (b) write a brief report (a paragraph or so, no more!) on what these summaries suggest regarding the possibility (or lack thereof) of changes over time in the age distribution of this population. Interval of Age, years…
Exhibit 10-11An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below. Under Age 18 Over Age 18 n1 = 500 n2 = 600 Number of accidents = 180 Number of accidents = 150 We are interested in determining if the accident proportions differ between the two age groups. Refer to Exhibit 10-11 and let pu represent the proportion under and po the proportion over the age of 18. The null hypothesis is _____. Group of answer choices pu – po ≤ 0 pu – po ≥ 0 pu – po ≠ 0 pu – po = 0
QUESTION 2 A survey by marketing students at KU was conducted to consider how many students attend football games regularly during the season. A random sample of 42 students was collected to estimate the proportion of students who regularly attend football games. The sample proportion was found to be 35%. Thirty-five percent is a O a. point estimate O b. sample parameter C. population parameter O d. point estimator

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