On average 9 people per hour arrive a local clinic to get COVID-19 vaccine (u = 9).If the arival of people (X) has a Poisson distrībution answer the following questions.a. Find the expected no of people who arive at clinic in 5 hours.b. Fine the probability that 5 people amrive in half an hour.c. Calculate P(X <-0) for one hour.

Name: On average 9 people per hour arrive a local clinic to get COVID-19 vac
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: On average 9 people per hour arrive a local clinic to get COVID-19 vaccine (u = 9).If the arival of people (X) has a Poisson distrībution answer the following questions.a. Find the expected no of people who arive at clinic in 5 hours.b. Fine the prob

Given that the arrival of people to get COVID-19 vaccine (X) has Poisson distribution with average 9…

Answered: Find the expected no of people who…

Math

Probability

Find the expected no of people who arive at clinic in 5 hours Fine the probability that 5 people amive in half an houur. Calculate P(X <-0) for one hour.

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...

See similar textbooks

Similar questions

Do you think the debate about the COVID 19 vaccine will lead to people feeling apprehensive about other vaccines in the future? Do you think more vaccine hesitancy will become the norm? Why or why not?
Please do not write the answer in step 1 or step 2 boxes. The website doesn't allow me to see the full explanatin. Could you write it on paper and then post it as a pic? Please.
A health psychologist claims that the more final exams a student has during finals weeks, the more stressed they are. They want to test this experimentally by having 6 students receiving additional finals in their fall semester and then assessing sleep during finals (µ1 = mu1). Then the same 6 students receive no additional finals in their spring semester and are assessed on their sleep during finals (u2 = mu2) and they want to assess if the difference in sleep with no additional finals relative to additional finals with mu1 - mu2. µ1 = mu1 = Additional finals and l2 = mu2 = No additional finals They get the following data: Additional finals No Additional finals 98 58 78 49 86 93 73 60 44 65 87 62 What would be your t-statistic for this research? Please report to 4 decimal places.
Safari File Edit View History Bookmarks Window Help Thu Oct 21 9:20 AM learn-us-east-1-prod-fleet02-xythos.content.blackboardcdn.com untit Bb Test Reviews – 202210:13745 Math for Bus and Soc Scs (... Bb https://learn-us-east-1-prod-fleet02-xythos.content.blackboardcdn.co... Function Table Perform the indicated row operations on the following matrix. [ 1 -5 4 Scre 2021-0 2 25 5) –3R1 -R1 1 -5| 4 A) -6 -6|-15 [ 1 -5 4 B) -1 17 7 -3 15 -12 -3 -5 4 D) -6 25 thinko 2 2 5 Page 1 W (o of
A researcher selected a sample of 268 former student-athletes from a list of graduates of a large university. A total of 14% of the sample of athletes had earned graduate degrees as compared to 17% of all graduates. What is the Z obtained value?
Breast cancer treatment can have a negative effect on health related physical fitness. The aim of this study was to measure muscular strength, leg press strength, chest press strength and single-leg stance time before and after the completion of a 12-week multimodal exercise program for breast cancer survivors. A total of 52 female breast cancer survivors were recruited. What type of study is this? Edit View Insert Format Tools Table 12pt ✓ Paragraph 1 P Previous www ♫x BI U Αν 4₁ F6 ***** L T² V h F7 CO L PrtScn F8 V L Home : + ✓ F9 End Next F10 **** - PgUp
Do i need to manually add time dummy variables when using proc panel in SAS? Or does it automatically account for it? For example, assuming a balanced equation, if my population model is y_it = alpha_t + x1_it + x2_it + c_i + u_it; where alpha_t is our our time dummy variables for each time period.