COVID -19 Recoveries The ongoing pandemic of corona virus disease 2019, a novel infectious disease caused by severe acute respiratory syndrome was spread in the Philippinen on January 30, 2020. Thousands of people in the country tested positive in this virus and some of them recovered from the disease. The following table shows the numbe of recoveries from April 24-May 3, 2020, Date Number of Recoveries X April 24 April 25 Apnl 26 70 April 27 70 April 28 April 29 April 30 May 2 41 May 2 40 May 3 a. Illustrate the probability distribution of the random variable that represents the number of recoveries.

COVID -19 Recoveries The ongoing pandemic of corona virus disease 2019, a novel infectious disease caused by severe acute respiratory syndrome was spread in the Philippinen on January 30, 2020. Thousands of people in the country tested positive in this virus and some of them recovered from the disease. The following table shows the numbe of recoveries from April 24-May 3, 2020, Date Number of Recoveries X April 24 April 25 Apnl 26 70 April 27 70 April 28 April 29 April 30 May 2 41 May 2 40 May 3 a. Illustrate the probability distribution of the random variable that represents the number of recoveries.

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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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Accounting Today identified the top accounting firms in 10 geographic regions across the United States. All 10 regions reported growth in 2014. The Southeast and Gulf Coast regions reported growth of 12.36% and 5.8%, respectively. A characteristic description of the accounting firms in the Southeast and Gulf Coast regions included the number of partners in the firm. The file AccountingPartners3 contains the number of partners. (Data extracted from bit.ly/1BoMzsv) Assuming that the population variances from both offices are equal, at the 0.10 level of significance, is there evidence of a difference between Southeast region accounting firms and Gulf Coast accounting firms with respect to the mean number of partners? Referring to Table 10-1, the proper conclusion for this test is Question 5 options: 1) at the α = 0.10 level, there is sufficient evidence to indicate a difference in the mean time to clear problems in the two offices.…
Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 9# percent reliable, this means that the test will yield an accurate positive result in 90% of the cases where the disease is actually present. Gestational diabetes affects 1 percent of the population in our patient’s age group, and that our test has a false positive rate of 4 percent. Use your knowledge of Bayes’ Theorem and Conditional Probabilities to compute the following quantities based on the information given only in part 2: What is the probability of having the disease given that you tested negative? Comment on what you observe in the above computations. How does the prevalence of the disease affect whether the test can be trusted?
Suppose that one chemical plant in a large corporation is accused of exceeding the established limits of toxins being released into the atmosphere. A decision is made to test whether or not the mean level of toxins exceeds the tolerance level μ0=100μ0=100 ppm (parts per million). How would the null and alternative hypotheses be set up given that the researcher is working for the corporation? How would those hypotheses change if the researcher is working for the Environmental Protection Agency (EPA)?
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Ims.tu.edu.sa قائمة القراءة. Remaining Time: 34 minutes, 24 seconds. v Question Completion Status: QUESTION 1 "Suppose X has an exponential distribution with ß=1/2 , then P (X2 2) is " 0.3988 O 0.0183 0.4786 O 0.2916 QUESTION 2 "Suppose X has an exponential distribution with ß=1/4 , then P (Xs1.) is " O 0.9817 O 0.3246 O 0.4105 O 0.5116 QUESTION 3
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Employee’s human capital is measured in terms of his/her age, education, tenure, and rank. Number of years an employee worked in the same organization measures the amount of firm-specific human capital that employee possesses. Data of 413 employees’ tenure was analyzed to predict interim leadership role importance in a study reported in Journal of Advanced Management Research (Vol. 9, 2012). The following table shows the data of these employees tenure in the organization: Tenure (in years) 0-1 1-6 6-11 11-20 20-21 No. of employees 48 109 58 75 123 Calculate mean tenure of these 413 employees.
A random sample of 60 men is selected and classified according drinking water and physical activity lifestyle (Habit). Are water and physical activity Habits independent for this group. use a= 0.01, and calc.X^2= 57.25 and X^2 critical =88.379)
26-27. 28-30. 140 y = 4y =
Please no written by hand solution and no image 4. A local theater chain with multiple theaters is tracking the daily ticket sales of all theaters. Suppose that X is the daily sale of one theater and it is normally distributed with X sim N( mu , sigma^ overline 2 ) and that each theater is far away from each other so that the sales of each theater X_{i} are i.i.d. a. Suppose mu = 200 sigma ^ 2 = 400 what's the probability that one theater X_{i} will be within 25 tickets of the mean? b. Let overline x be the mean daily ticket sales among n theaters and suppose sigma ^ 2 = 400 How many theaters would the owner of the theater chain have to have in order for the probability to be at least 0.9 that overline x is within 15 ticket sales of mu ? c. Suppose the owner of the theater chain has 10 theaters with mu = 200 sigma ^ 2 = 400 and for each ticket sale, it can generate a profit of $5. What's the probability that the daily profit for the entire theater chain will exceed $10050?.
Consider the following population model for household consumption: cons = a + b1 * inc+ b2 * educ+ b3 * hhsize + u where cons is consumption, inc is income, educ is the education level of household head, hhsize is the size of a household. Suppose a researcher estimates the model and gets the predicted value, cons_hat, and then runs a regression of cons_hat on educ, inc, and hhsize. Which of the following choice is correct and please explain why. A) be certain that R^2 = 1 B) be certain that R^2 = 0 C) be certain that R^2 is less than 1 but greater than 0. D) not be certain
Problem : The following system has a radar, a computer and an auxiliary unit connected in series as shown with mean time between failures (MTBF’s) of 91,202 and 500 hours respectively. MTBF=91 HRS MTBF=202 HRS MTBF=500 HRS INPUT RADAR COMPUTER AUXILIARY OUTPUT SYSTEM Determine the following. The unit reliability of each component. System reliability * System MTBF for an operating period of 10 hours