Question

In: Statistics and Probability

The life of a new gadget you invented to water a plant is normally distributed with...

The life of a new gadget you invented to water a plant is normally distributed with a mean of 3 days with a standard deviation of 10 hours.   You took a sample of 16 gadgets.

A. What is the probability that the sample mean will be more than 3.2 days?

B. What is the probability that the sample mean would be between 2.8 and 3.2?

C. What is the probability that the sample mean would be either less than 2.75 or greater than 2.75?

Solutions

Expert Solution

Let X denotes the life of the new gadget invented to water a plant. Then X follows normal distribution with mean 3 days(72 hours) and standard deviation 10 hours. If X follows normal distribution with mean and standard deviation then the sample mean follows normal distribution with mean mean and standard deviation according to the central limit theorem. Here n = 16. So the sample mean of 16 gadgets follow normal distribution with mean 72 hours and standard deviation hours.

The probability can be evaluated using the standard normal transformation

A.

The probability that the sample mean of 16 gadgets will be more than 3.2 days(76.8 hours) is given as

The probability that the sample mean life of the 16 gadgets will be more than 3.2 days is 0.02743.

B.

The probability that the sample mean of 16 gadgets will be between 2.8 days (67.2 hours) and 3.2 days(76.8 hours) is given as

= 2(0.97257) - 1

= 0.94514

The probability that the sample mean of 16 gadgets will be between 2.8 days (67.2 hours) and 3.2 days(76.8 hours) is 0.94514

C.

The probability that the sample mean of 16 gadgets would be either less than 2.75(66 hours) or greater than 2.75(66 hours) will be obviously one as the probability will cover the entire region.

The probability that the sample mean would be either less than 2.75 or greater than 2.75 is 1.


Related Solutions

The life of a ventilator is normally distributed with a mean of 9000 hours and a...
The life of a ventilator is normally distributed with a mean of 9000 hours and a standard deviation of 500 hours. (a) What is the probability that the ventilator fails before 8000 hours? (b) What is the life in hours that is exceeded by 96% of the ventilators? (c ) If 20 such ventilators are used in a hospital, and they are assumed to fail independently, what is the probability that all 20 are still operating after 7500 hours?
The life in hours of a certain type of lightbulb is normally distributed with a known...
The life in hours of a certain type of lightbulb is normally distributed with a known standard deviation of 10 hours. A random sample of 15 lightbulbs has a sample mean life of 1000 hours. What would the 99% lower-confidence bound L on the mean life be, rounded to the nearest integer?
The life expectancy of a brand of light bulbs is normally distributed with a mean of...
The life expectancy of a brand of light bulbs is normally distributed with a mean of 1500 hours and a standard deviation of 75 hours. A. What is the probability that a bulb will last between 1500 and 1650 hours. The life expectancy of a brand of light bulbs is normally distributed with a mean of 1500 hours and a standard deviation of 75 hours. A. What is the probability that a bulb will last between 1500 and 1650 hours....
The amount of water in a bottle is approximately normally distributed with a mean of 2.85...
The amount of water in a bottle is approximately normally distributed with a mean of 2.85 litres with a standard deviation of 0.035-liter. b. If a sample of 4 bottles is​ selected, the probability that the sample mean amount contained is less than 2.82 ​litres is 0.043. c. If a sample of 25 bottles is​ selected, the probability that the sample mean amount contained is less than 2.82 ​litres is 0. Explain the difference in the results of​ (b) and​...
The amount of water in a bottle is approximately normally distributed with a mean of 2.40...
The amount of water in a bottle is approximately normally distributed with a mean of 2.40 liters with a standard deviation of 0.045 liter. Complete parts​ (a) through​ (e) below. a).What is the probability that an individual bottle contains less than 2.36 ​liters? b). If a sample of 4 bottles is​ selected, what is the probability that the sample mean amount contained is less than 2.36 ​liters? c).If a sample of 25 bottles is​ selected, what is the probability that...
The weekly wages of steel workers at a steel plant are normally distributed with a mean...
The weekly wages of steel workers at a steel plant are normally distributed with a mean weekly wage of $940 and a standard deviation of $85. There are 1540 steel workers at this plant. a) What is the probability that a randomly selected steel worker has a weekly wage i) Of more than $850? ii) Between $910 and $960? b) What percentage of steel workers have a weekly wage of at most $820? c) Determine the total number of steel...
The amount of beer in a bottle from the Dominion filling plant is normally distributed with...
The amount of beer in a bottle from the Dominion filling plant is normally distributed with at mean od 330 ml and a standard deviation of 4 ml. a. What is the probability that a single randomly selected bottle will have less than 325 ml? If the Quality Control manager at Dominion took many 12-packs of the beer (ie samples of 12): b. What would be the approximate shape of the distribution of the sample means? c. What would be...
iPhone 6 battery life ~ The life of a fully charged iPhone 6 is normally distributed...
iPhone 6 battery life ~ The life of a fully charged iPhone 6 is normally distributed with an average of 13 hours and a standard deviation of 1.5 hours. What is the life of a fully charged iPhone 6 battery for the 20th percentile? Enter your answer to 4 decimal places. Your Answer: Question 1 options: Answer
Suppose the life of a particular brand of calculator battery is approximately normally distributed with a...
Suppose the life of a particular brand of calculator battery is approximately normally distributed with a mean of 75 hours and a standard deviation of 9 hours. a. What is the probability that a single battery randomly selected from the population will have a life between 70 and 80 hours? P(70 ≤ x ≤80​)equals=0.4215 ​(Round to four decimal places as​ needed.) b. What is the probability that 4 randomly sampled batteries from the population will have a sample mean life...
QUESTION 7. The life expectancy of a particular brand of tire is normally distributed with a...
QUESTION 7. The life expectancy of a particular brand of tire is normally distributed with a mean of 40,000 and a standard deviation of 5,000 miles. (8 points) 2 Points each a. What is the probability that a randomly selected tire will have a life of no more than 50,000 miles? b. What is the probability that a randomly selected tire will have a life of at least 47,500 miles? c. What percentage of tires will have a life of...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT