The proportion of individuals that regularly smoke in a population is known to be 0.25.Applying results from the Central Limit Theorem, what is the probability that a randomsample of 1000 individuals drawn from the population will have at least 280 smokers?O 0.92790.98580.0721O 0.0142

Answered: Image /qna-images/answer/67db65cf-fa8a-4cb7-8185-a739b69be083.jpg

Answered: The proportion of individuals 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

See similar textbooks

Similar questions

Use the central limit theorem (CLT) to determine the probability ? that the mean taxable wages in James' sample of 50 counties will be less than $26 million. μ=28.29 ?=33.493
The probability of randomly sampling a student on campus and finding that they are wearing a red shirt is .3. what is the probability of sampling 10 students and finding that exactly 4 are wearing red shirts in any order? Give your answer as 0.XX
Use a normal approximation to find the probability of the indicated number of voters. In this case, assume that 181 eligible voters aged 18-24 are randomly selected. Suppose a previous study showed that among eligible voters aged 18-24, 22% of them voted. Probability that exactly 43 voted The probability that exactly 43 of 181 eligible voters voted is (Round to four decimal places as needed.)
The probabilities that the diameter of any item is less than, greater than or equal to some accepted value are respectively 0.05, 0.10 and 0.85. From the total lot, one selects 100 random samples. Find the probability that among them there will be five items with a smaller diameter and five with a larger diameter than the acceptable diameter.
Use a normal approximation to find the probability of the indicated number of voters. In this case, assume that 131 eligible voters aged 18-24 are randomly selected. Suppose a previous study showed that among eligible voters aged 18-24, 22% of them voted. Probability that exactly 35 votedThe probability that exactly 35 of 131 eligible voters voted is . (Round to four decimal places as needed.)
Let X denote the waiting time (in minutes) for a customer. An assistant manager claims that μ, the average waiting time of the entire population of customers, is 2 minutes with standard deviation also 2 minutes. The manager doesn't believe his assistant's claim, so he observes a random sample of 36 custoers. The average waiting time for the 36 customers is 3.2 minutes. What is the probability that the average of 36 customers is 3.2 minutes or more? Do you think that assistant manager's claim that the mean is 2 minutes is correct?
Use a normal approximation to find the probability of the indicated number of voters. In this case, assume that 109 eligible voters aged 18-24 are randomly selected. Suppose a previous study showed that among eligible voters aged 18-24, 22% of them voted. Probability that fewer than 29 voted The probability that fewer than 29 of 109 eligible voters voted is (Round to four decimal places as needed.)
Use a normal approximation to find the probability of the indicated number of voters. In this case, assume that 120 eligible voters aged 18-24 are randomly selected. Suppose a previous study showed that among eligible voters aged 18-24, 22% of them voted. Probability that exactly 32 voted The probability that exactly 32 of 120 eligible voters voted is 4.6867 (Round to four decimal places as needed.)
Find the experimental probability of rolling a 2 after 50 rolls of the cube. A. 16% B. 50% C. 8 D. 8/24 (<----fraction)
Use a normal approximation to find the probability of the indicated number of voters. In this case, assume that 111 eligible voters aged 18-24 are randomly selected. Suppose a previous study showed that among eligible voters aged 18-24, 22% of them voted. Probability that exactly 26 voted The probability that exactly 26 of 111 eligible voters voted is (Round to four decimal places as needed.)
The data records the smiling times, in seconds, of an eight-week-old baby.We will assume that the smiling times, in seconds, follow a uniform distribution between zero and 23 seconds, inclusive. This means that any smiling time from zero to and including 23 seconds is equally likely.What is the probability that a randomly chosen eight- week-old baby smiles between two and 18 seconds? O 0.1304 O 0.8696 O 0.6957 0.7826
Use a normal approximation to find the probability of the indicated number of voters. In this case, assume that 109 eligible voters aged 18-24 are randomly selected. Suppose a previous study showed that among eligible voters aged 18-24, 22% of the voted Probability that exactly 27 voled The probability that exactly 27 of 109 eligible voters voted is (Round to four decimal places as needed.) REED

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

The proportion of individuals that regularly smoke in a population is known to be 0.25. Applying results from the Central Limit Theorem, what is the probability that a random sample of 1000 individuals drawn from the population will have at least 280 smokers? O 0.9279 O 0.9858 0.0721 O 0.0142