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
the amount of liquid in cans of a cola beverage has mean value 16 ounces and...
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 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.
The amount of cola in a can labeled 12 ounces is normally distributed with mean 11.9 ounces and standard deviation .02 ounces. Find the probability that a randomly selected can contains more than 12 ounces. Round to four decimal places.
] 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
Sampling Distributions 1. An automatic machine used to ill cans of soup has a mean flling weight of 16 ounces and a standard deviation of 0.5 ounces. a. What is probability of obtaining a sample of 49 cans with a mean larger than 16.1 b. Find the probability that the sample mean will be within 005 ounces of the population ounces? mean, 16 ounces. 2. Family income distribution in St. Paul, Minnesota, is skewed to the right. The latest census...
Soda six-packs Most soda cans list the volume of soda as 12 fluid ounces. As with all process, some variation occurs when filling soda cans. Suppose that a company knows this and tries to over-fill cans a bit, so that the actual volume of soda in a can follows a normal distribution with mean 12.1 fluid ounces and standard deviation .15 fluid ounces. a) What proportion of soda cans filled by this process will contain less than 12 fluid ounces?...
8. From a population of cans of coffee marked "12 ounces," a sample of 125 cans is selected and the contents of each can are weighed. The sample revealed a mean of 11.8 ounces and a standard deviation of 2.0 ounces. Test to see if the mean of the population is at least 12 ounces. Use .05 level of significance. deviation of 2.0 un an are weighed. The sample essa sample of 125 cans is selected and Ho: u 2...
The Quality Assurance Department for Cola, Inc. maintains records regarding the amount of cola in its Jumbo bottle. The actual amount of cola in each bottle is critical but varies a small amount from one bottle to the next. Cola, Inc. does not wish to yoderfill the bottles, because it will have a problem with truth in labeling. On the other hand, it cannot overfill each bottle, because it would be giving cola away, hence reducing its profits. Its records...
A machine set to fill soup cans with a mean of 20 ounces and a standard deviation of 0.1 ounces. A random sample of 34 cans has a mean of 20.02 ounces. Should the machine be reset? No, the probability of this outcome at 0.122, would be considered usual, so there is no problem No the probability of this outcome at 0.421 would be considered usual, so there is no problem Yes, the probability of this outcome at 0.878 would...