The average amount of a beverage in randomly selected 16-ounce beverage can is 15.8 ounces with a standard deviation of 0.5 ounces. If a random sample of forty-nine 16-ounce beverage cans is selected, what is the probability that mean of this sample is less than 15.7 ounces of beverage?
The average amount of a beverage in randomly selected 16-ounce beverage can is 15.8 ounces with...
The average amount of a beverage in randomly selected 16-ounce beverage can is 16.1 ounces with a standard deviation of 0.4 ounces. If a random sample of hundred 16-ounce beverage cans is selected, what is the probability that mean of this sample is less than 16.2 ounces of beverage? (keep up to 4 decimal places)
Question 5 The average amount of a beverage in randomly selected 16-ounce beverage can is 15.9 ounces with a standard deviation of 0.5 ounces. If a random sample of sixty-four 16- ounce beverage cans is selected, what is the probability that mean of this sample is less than 16 ounces of beverage? (keep 4 decimal places) I don't know 2 attempts
the amount of liquid in cans of a cola beverage has mean value 16 ounces and standard deviation of 0.143 ounces (a) what is the probability that a randomly selected can of that cola beverage contains at least 15.9 ounces? (b) what is the probability that the mean amount x of beverage in a random sample of 34 such cans is at least 16.1 ounces
] A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. The following table shows the results when ten randomly selected cans are sampled. 11.77 11.85 11.87 11.96 12.03 12.03 12.09 12.18 12.28 12.36 (a) Compute the sample standard deviation (from the calculator). (b) Perform a hypothesis test to determine whether the standard deviation is less than 0.2 ounce at the 5% significance level
The amount X of beverage in a can labeled 12 ounces is normally distributed with mean 12.1 ounces and standard deviation 0.05 ounce. A can is selected at random. a. Find the probability that the can contains at least 12 ounces. b. Find the probability that the can contains between 11.9 and 12.1 ounces.
Weights of cereal in 16 ounce boxes are normally distributed with a mean of 16 ounces and a standard deviation of 0.12 ounce. Respond to the following: a)What is the probability that a cereal box selected at random will have at least 15.95 ounces? b)What is the probability that the mean of a sample of 16 boxes will be at least 15.95 ounces? c)In a production of 10,000 boxes, how many would you expect to be below 15.95 ounces? d)The...
A soft-drink machine is regulated to discharge an average of 7 ounce per cup. The amount of drink is considered normally distributed with a standard deviation of 0.5 ounce. What is the probability that a cup chosen at random will contain 7. C2 7,8 a) between 6.5,andR2 ounce? b) exactly 7.0 ounce? c) less than 7.3 ounce? d) If the cups hold exactly 8 ounces, what is the probability that a cup will overflow? e) What should be cup's size...
12. A beer distributor believes the amount of beer in a 12-ounce can of beer has a normal distribution with a mean of 12 ounces and a standard deviation of 1 ounce. If a 12-ounce beer can is randomly selected, find the following probabilities. a. The probability that the 12-ounce can of beer will actually contain less than 11 ounces of beer. b. The probability that the 12-ounce can of beer will actually contain more than 12.5 ounces of beer....
The weights of ice cream cartons are normally distributed with a mean weight of 11 ounces and a standard deviation of 0.5 ounce. (a) What is the probability that a randomly selected carton has a weight greater than 11.17 ounces? (b) A sample of 16 cartons is randomly selected. What is the probability that their mean weight is greater than 11.17 ounces?
The amount of corn chips dispensed into a 13-ounce bag by the dispensing machine has been identified as possessing a normal distribution with a mean of 13.5 ounces and a standard deviation of 0.3 ounce. Suppose 40 bags of chips were randomly selected from this dispensing machine. Find the probability that the sample mean weight of these 40 bags exceeded 13.6 ounces.