5.47 Ambulance response time. Ambulance response timeis measured as the time (in minutes) between the initialcall to emergency medical services (EMS) and when thepatient is reached by ambulance. Geographical Analysis(Vol. 41, 2009) investigated the characteristics of ambu-lance response time for EMS calls in Edmonton, Alberta.For a particular EMS station (call it Station A), ambulanceresponse time is known to be normally distributed withu = 7.5 minutes and o = 2.5 minutes.a. Regulations require that 90% of all emergency callsshould be reached in 9 minutes or less. Are the regula-tions met at EMS Station A? Explain.b. A randomly selected EMS call in Edmonton has an am-bulance response time of 2 minutes. Is it likely that thiscall was serviced by Station A? Explain.

Answered: Image /qna-images/answer/8b829b96-4f71-45b2-a916-4a2e51d8f372.jpg

Answered: 5.47 Ambulance response time. Ambulance…

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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A 1-1 matched case-control study was conducted among office workers on the association between suffering chronic lower back pain and sitting at a PC. There were 118 cases (suffering from back pain), individually matched to controls (not suffering from back pain) on sex, age, and general exercise habits. The exposure was the amount of time spent at a PC. The data are in Table 1: Case > 4 hours/day 4 hours/day 18 13 <4 hours/day 25 62 Use a suitable test to test for no association between suffering chronic lower back pain and time spent sitting at a PC.
Dataset for question (4.2.) Amount of Money Spent on Vehicle extras by 7 customers: Customer Amount_Spent х1 2300 x2 2386 x3 1920 х4 1578 x5 3065 х6 2312 x7 1790 4.2. A car dealer wants to know if the purchasing habits of buyers buying extras for their vehicles have changed. He is particularly interested in determining if male buyers are willing to spend more money on extras for their cars. Based on data collected over the past year, he has estimated that the distribution of the amount of money spent on extras is approximately normally distributed with an average of R2 000 per customer. To test this hypothesis, he has collected the following information concerning the amount of money that the last seven male customers have spent on extras (Rands). Provide all the steps.
3. What percentage of College students have made at least one online purchase in the last three months? To answer this question, a market researcher surveyed 200 college students. Of those surveyed, 76 said that they had made at least one online purchase (a.) What is the parameter of interest in this study? (b.) Calculate the corresponding point estimate of the population proport
Calculate the measures of central tendency for the grouped data and the measures of dispersion for the grouped and ungrouped data.After computing the measures of central tendency and dispersion, interpret the results.In a 50-question midterm exam, 40 students from the subject Creative Leadership at Angeles City University have their scores recorded. Given: r = 35 Class Interval = 6 i = 6 Lowest value = 13 and Highest value = 48 Data: Number Student’s name Midterm exam score 1 Olivia 18 2 Liam 23 3 Emma 18 4 Noah 18 5 Ava 19 6 Oliver 25 7 Sophia 25 8 Ethan 19 9 Isabella 19 10 Lucas 24 11 Mia 13 12 Mason 13 13 Charlotte 26 14 Benjamin 13 15 Amelia 27 16 William 15 17 Harper 26 18 James 17 19 Evelyn 20 20 Henry 20 21 Abigail 27 22 Sebastian 27 23 Emily 22 24 Alexander 28 25 Elizabeth…
In a summary report given by Ing. Pobbi on the lengths of ironrods produced by two machines, he stated that the variability ofmachine A was higher compared to that of machine B. Critiquethe report of the Engineer given data on the length of rodsproduced given as; MachineA(cm): 380 410 280 310 305 360 270 355 400 Machine B(m): 1.1 1.3 1.2 2.0 1.5 1.6 1.4 1.6 1.7
This dataset of size n - 51 is for the 50 states and the District of Columbia in the United States. The variables are - year 2002 birth rate per 1000 females 15 to 17 years old and z- poverty rate (the percent of the state's population living in households with in- comes below the federally defined poverty level) i- 13.1 - 22.3 R- 51, Su - E(-2) - 914.7 S, - E( -2)( - 6) - 1, 256.2 Su - E(m - M) - 3, 249 SSE - E(w - - 1, 509.6 1. Find A. A and r. 2. Write the fitted linear regression model for ý, in terms of z, A, and A- For A and , use the values you obtained in problem 1. 3. Interpret the slope of the least squares line based on the context. 4. Find SST, SE and SSR. 5. Find R* and . 6. Complete a chart for ANOVA df MS pvalue Source Regression Error Total 7. Complete a chart for Parameter Estimates. t-value pvalue Parameter Intercept Slope Estimate S.e. 8. What is the residual e, for the observation (.) - (20.1,31.5)? 9. What is the conclusion for the test Ha : -0 vs Ho : +0 with a -…
Give the statistical meaning of the relationship between the spending hours on using mobile andreading books per day
Among the literature on quitting smoking are data detailing the relative successfulness of people of different ages in quitting smoking. A study of 400 adults who began various smoking-cessation programs produced the data in the table below. In the table, each participant is classified according to two variables: length of their smoking cessation period ("Less than two weeks", "Between two weeks and one year", or "At least one year") and age ("21-34", or "35 and over"). In the table, "less than two weeks" means that the individual returned to smoking within two weeks of beginning the program; "between two weeks and one year" means that the individual lasted the first two weeks without smoking but retuned to smoking within a year; and "at least one year" means that the individual has not smoked for at least a year since beginning the program. The table is a contingency table whose cells contain the respective observed frequencies of classifications of the 400 smokers. In addition, three…

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