Before 1918, approximately 55% of the wolves in a region were male, and 45% were female. However, cattle ranchers in this area havemade a determined effort to exterminate wolves. From 1918 to the present, approximately 65% of wolves in the region are male, and35% are female. Biologists suspect that male wolves are more likely than females to return to an area where the population has beengreatly reduced. (Round your answers to three decimal places.)USE SALT(a) Before 1918, in a random sample of 12 wolves spotted in the region, what is the probability that 9 or more were male?What is the probability that 9 or more were female?What is the probability that fewer than 6 were female?

Given data Before 1918: Male 55% = 0.55 Female = 45% = 0.45 After 1918: Male 65% = 0.65 Female…

Answered: are female. Biologists suspect that…

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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The probability of a Type II error is represented by the symbol B (beta). O True O False
I need help with the last question
In a laboratory statistics class, Anne performed a random experiment to discussthe probability of an event. She rolled an unbiased die r times. Determine the following: a. The probability of obtaining one 6.b. The probability of obtaining no 6.c. The number of trials needed for the probability of at least one 6 to be ≥ 1/2
Give proper explanation and don't copy from CHEGG or any other website
I need help is the answer 0.1678?
The accompanying table shows the results from a test for a certain disease. Use the results to answer the questions below. The individual actually o had the disease Yes No Positive 336 Negative 15 1153 Find the probability of selecting a subject with a positive test result, given that the subject has the disease. (Round to three decimal places as needed.) Which of the following best describes what this probability represents in words? O A. Approximately 96% of individuals that actually have the disease will receive a positive test result. O B. Approximately 96% of individuals that receive a positive test result will have the disease. OC. Approximately 96% of all individuals will both have the disease and receive a positive test result. What would be a favorable consequence of this result? O A. The subject would receive treatment and would be unlikely to spread the disease. O B. The subject would experience needless stress and additional testing. O C. The test would be shown to be not…
Just need D
The accompanying table shows the results from a test for a certain disease. Find the probability of selecting a subject with a negative test result, given that the subject has the disease. What would be an unfavorable consequence of this error? The individual actually O had the disease Yes No Positive 334 Negative 13 1176 EEE .E The probability is (Round to three decimal places as needed.) What would be an unfavorable consequence of this error? A. The test would be shown to be not effective. OB. The subject would experience needless stress and additional testing. Gradebo O C. The subject would not receive treatment and could spread the disease. Sco O D. The test would be shown to be not reliable. see scor
The NIH is creating a test for the Zika virus. The incidence of a Zika is low, 11 percent in the general population. There is a trial version, but it sometimes misses the disease. The probability of a false negative is 0.03. Similarly, someone who does not have Zika, will sometimes get a positive reading. The probability of this is 0.1. Fill in the tree diagram and... Answer as a decimal to 4 decimal places. D = event that someone actually has Zika %3D positive = event that a test states that a person has Zika Conditional Marginal Probabilities Joint Probabilities Probabilities 0.9700 Enter an integer or decimal number [more..] P(D and positive) P(positive | D) False 0.1100 0.0300 negative P(D) P(negative | D) P(D and negative) 0.1000 False Positive 0.8900 P(no D) P(positive | no D) P(no D and positive) 0.9000 P(negative | no D) P(no D and negative)
The data represent the results for a test for a certain disease, Assume one individual from the group is randomly selected. Find the probability of getting someone who tests positive, given that he or she had the disease. The individual actually had the disease Yes 130 23 No Positive Negative 13 134 The probability is approximately (Round to three decimal places as needed.)
Plz answer all the parts
Let's calculate the probability of finding someone special. Using a form of Fermi's Paradox (the difference between having limited or no choices to having high amount of choices). Let's calculate your probability using the following data. Multiply the number and all percentages together N (subscript p): Number of people = your target population (number of people in your state). Broward County, FL is 1,953, 251 million. Dade County, FL is 2,717,251 million. Palm Beach County, FL is 1, 497,251 million. Harris County, TX is 4,731,251 million. (example: 1,374,251 x .5 x .44 x .37 x .25 x.10 x.10 = 279 people are potential special people for you) times f (subscript g) = target gender (multiply as a decimal. Example: 0.5 for either sex or 1.0 for both sexes) times f (subscripts) = single people (multiply as a decimal) About 44% of people are single at any given time. f (subscript e) = the number of people you'll run into (multiply as a decimal). Your sample size will be small if you only…

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