solve 1. analyzing graphically: The probability that a person living in a certain city has a...
solve 1. analyzing graphically: The probability that a person living in a certain city has a dog is estimated at 0.3. Find the probability that the tenth person interviewed at random in this city is the fifth person who has a dog.
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solve 1. analyzing graphically: The probability that a person
living in a certain city has a...
The probability that a person living in a certain city owns a dog is estimated to...
The probability that a person living in a certain city owns a dog is estimated to be 0.25. Find the probability that the tenth person randomly interviewed in that city is the sixth one to own a dog.
The mean salary of people living in a certain city is $37500 with a standard deviation...
The mean salary of people living in a certain city is $37500 with a standard deviation of $1589. A sample of 46 people is selected at random from those living in the city. Find the probability that the mean income of the sample is less than $38000.
The mean salary of people living in a certain city is $37,500 with a standard deviation...
The mean salary of people living in a certain city is $37,500 with a standard deviation of $2,041. A sample of 63 people is selected at random from those living in the city. Find the probability that the mean income of the sample is within $500 of the population mean. Round your answer to 4 decimal places.
13. Solve the problem. The probability is 0.2 that a person shopping at a certain store...
13. Solve the problem. The probability is 0.2 that a person shopping at a certain store will spend less than $20. For groups of size 17, find the mean number who spend less than $20. O 16.0 O 13.6 O3.4 04.0
o In a certain U.S. city, 51.4% of adults are women. In that city, 14.3% of...
o In a certain U.S. city, 51.4% of adults are women. In that city, 14.3% of women and 9.3%of men suffer from depression. If an adult is selected at random from the city, find the probability that the person is a man who does not suffer from depression O A. 0.466 OB. 0.045 OC. 0.907 OD. 0.441
Question 1. A vaccine has a 13% probability of failing to prevent a certain disease. The...
Question 1. A vaccine has a 13% probability of failing to prevent a certain disease. The probability of getting the disease if a person is not vaccinated is 30%. In a certain geographic region, 25% of the people get vaccinated. (4-2 187-31 6ed) a. Draw a tree diagram that represents the experiment above and show the probability in each of the branches and the probability of the final outcomes. b. If a person is selected at random in this region,...
1. In a certain business there are bosses and workers, women and men. If a person is picked at random, the probability...
1. In a certain business there are bosses and workers, women and men. If a person is picked at random, the probability of being a boss is .20. If a person is picked at random, the probability of being a woman is 40. Fill in the below table's joint probabilities, assuming work status and gender are independent. Bosses Workers Women Men 2. If the probability of picking someone who is a woman and a boss is.10, what is the probability...
1. The probability that a person selected at random from a population will exhibit the classic...
1. The probability that a person selected at random from a
population will exhibit the classic symptom of a certain disease is
0.2, and the probability that a person selected at random has the
disease is 0.23. The probability that a person who has the symptom
also has the disease is .18. A person selected at random from the
population does not have the symptom. What is the probability that
the person has the disease? 2. In a certain population...
9) The mean salary of people living in a certain city is $37,500 with a standard...
9) The mean salary of people living in a certain city is $37,500 with a standard deviation of $2,103. A sample of n people will be selected at random from those living in the city. Find the smallest sample size n that will guarantee at least a 90% chance of the sample mean income being within $500 of the population mean income. Round your answer up to the next largest whole number.
10. (1 pt) The living space of all homes in a city has a mean of...
10. (1 pt) The living space of all homes in a city has a mean of 2100 square feet and a standard deviation of 500 square feet. Let Xbe the mean living space for a random sample of 625 homes from this city. The probability that this mean living space is less than 2069 square feet is (a).0478 (b) .9394 (c) .8788 (d).0606 (e) .5239
13. Solve the problem. The probability is 0.2 that a person shopping at a certain store will spend less than $20. For groups of size 17, find the mean number who spend less than $20. O 16.0 O 13.6 O3.4 04.0
o In a certain U.S. city, 51.4% of adults are women. In that city, 14.3% of women and 9.3%of men suffer from depression. If an adult is selected at random from the city, find the probability that the person is a man who does not suffer from depression O A. 0.466 OB. 0.045 OC. 0.907 OD. 0.441
1. In a certain business there are bosses and workers, women and men. If a person is picked at random, the probability of being a boss is .20. If a person is picked at random, the probability of being a woman is 40. Fill in the below table's joint probabilities, assuming work status and gender are independent. Bosses Workers Women Men 2. If the probability of picking someone who is a woman and a boss is.10, what is the probability...
1. The probability that a person selected at random from a
population will exhibit the classic symptom of a certain disease is
0.2, and the probability that a person selected at random has the
disease is 0.23. The probability that a person who has the symptom
also has the disease is .18. A person selected at random from the
population does not have the symptom. What is the probability that
the person has the disease? 2. In a certain population...
10. (1 pt) The living space of all homes in a city has a mean of 2100 square feet and a standard deviation of 500 square feet. Let Xbe the mean living space for a random sample of 625 homes from this city. The probability that this mean living space is less than 2069 square feet is (a).0478 (b) .9394 (c) .8788 (d).0606 (e) .5239
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