RANDOM NUMBERSPatient234Arrivals36089271Service559518Which Patient causes the doctor to wait prior to providing service?1 and 44881.2. This simulation of a doctor's office assumes the practice opens at 9:00 a.m. She is the only oneavailable to see patients. Use the below information to answer the following questions. Assume thatthe first arrival of the day is twenty minutes late.TimeBetweenArrivalsIn MinutesProbability RandomNumbers100.200-19200.420-59300.360-89400.190-99Service TimeIn MinutesRandomNumbersProbability100.400-39200.340-69300.270-89400.190-99RANDOM NUMBERSPatient1234Arrivals360871Service5595188822

The simulation output of the doctor's office assumes the practice opens at a.m.The first arrival of…

Answered: Patient Arrivals Service 1 36 55 RANDOM…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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One hundred people who attended a recent concert were classified by age bracket (see the chart). Age of Concert Attendees Age Number under 12 15 13-15 32 16-18 45 over 18 8. If 2500 people attended the concert, what would be a good prediction for the number of attendees between 13 and 15 years old? А 675 В 725 С 800 D 925
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What percent of females don't have heart disease? Sex (1=Male 2=Female) 1 2 Total Ever told heart disease (1=Yes 2=No) 1 Count 73 96 169 % within Ever told heart 43.2% 56.8% 100.0% disease (1=Yes 2=No) % within Sex (1=Male 10.2% 9.3% 9.7% 2=Female) % of Total 4.2% 5.5% 9.7% 2 Count 640 941 1581 % within Ever told heart 40.5% 59.5% 100.0% disease (1=Yes 2=No) % within Sex (1=Male 2=Female) 89.8% 90.7% 90.3% % of Total 36.6% 53.8% 90.3% Total Count 713 1037 1750 % within Ever told heart disease (1=Yes 2=No) 40.7% 59.3% 100.0% % within Sex (1=Male 100.0% 100.0% 100.0% 2=Female) % of Total 40.7% 59.3% 100.0% 59.5% 89.8% 53.8% 90.7%
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Show all your work. Indicate clearly the methods you use, because you will be scored on the correctness of your methods as well as on the accuracy and completeness of your results and explanations. Age (years) Frequency 20≤x<30 160 30≤x<40 130 40≤x<50 100 50≤x<60 115 60≤x<70 125 70≤x<80 135 The manager of a vacation resort believes that the ages of adult visitors to the resort can be modeled by a normal distribution. The manager surveyed a random sample of 765 visitors and recorded their age. A summary of the responses is shown in the frequency table, where x represents the age of the visitor. (a) Construct a histogram of the distribution of ages. (b) Write a few sentences to describe the distribution of ages of the adult visitors to the resort. (c) Does the histogram provide convincing evidence that the surveyed ages come from a normal distribution? Explain your answer.
show work and why it might be negative if you get negative number please thank you
Researchers record the number of people that go into a restroom facility and how many of those people wash their hands. O Observational Study O Experiment
Show all your work. Indicate clearly the methods you use, because you will be scored on the correctness of your methods as well as on the accuracy and completeness of your results and explanations. Age (years) Frequency 20≤x<30 160 30≤x<40 130 40≤x<50 100 50≤x<60 115 60≤x<70 125 70≤x<80 135 The manager of a vacation resort believes that the ages of adult visitors to the resort can be modeled by a normal distribution. The manager surveyed a random sample of 765 visitors and recorded their age. A summary of the responses is shown in the frequency table, where x represents the age of the visitor. Does the histogram provide convincing evidence that the surveyed ages come from a normal distribution? Explain your answer.
Alex records the running time-the number of minutes a movie lasts from start to finish-of 50 popular movies. Which interval contains the median movie run time? 90-100 minutes The distribution of times, in minutes, is shown in the histogram below. 100–110 minutes 110–120 minutes Movie Running Times O 120–130 minutes 16 14 12 4 70 80 90 100 110 120 130 140 150 160 Time (Minutes) Frequency 2.

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Patient Arrivals Service 1 36 55 RANDOM NUMBERS 2 08 95 Which Patient causes the doctor to wait prior to providing service? 3 92 18 4 71 88