Cans of soft drink are filled by a machine that does not always give exactly the same fill every time. Suppose that the contents of 375 ml cans of one particular brand actually come from a Normal distribution with a mean of 379.2 ml and a standard deviation of 3.5 ml. If you choose a can at random and measure its contents, what is the probability that its contents are 375 ml or more?
Hint: You need to standardise this problem and convert it to a problem involving Z (which is a Normal variabe with a mean of 0 and a standard deviation of 1). Look at the examples in the Study Guide.
|
0.3477 |
||
|
0.6523 |
||
|
0.8849 |
||
|
0.1151 |
||
|
0.9362 |

Cans of soft drink are filled by a machine that does not always give exactly the...
Soft drink cans are filled by an automated filling machine and the standard deviation is 0.5 fluid ounce. Assume that the fill volumes of the cans are independent, normal random variables. Round your answers to four decimal places (e.g. 98.7654). If the mean fill volume is 12.1 fluid ounces, what should the standard deviation of fill volume equal so that the probability that the average of 100 cans is less than 12 fluid ounces is 0.005?
Soft drink cans are filled by an automated filling machine and the standard deviation is 0.5 fluid ounce. Assume that the fill volumes of the cans are independent, normal random variables. Round your answers to four decimal places (e.g. 98.7654). What is the standard deviation of the average fill volume of 100 cans? If the mean fill volume 12.1 ounces, what is the probability that the average fill volume of the 100 cans is less than 12 fluid ounces? What...
A machine at a soft-drink bottling factory is calibrated to dispense 12 ounces of cola into cans. A simple random sample of 35 cans is pulled from the line after being filled and the contents are measured. The mean content of the 35 cans is 11.92 ounces with a standard deviation of 0.085 ounces. Estimate the true mean contents of the cans being filled by this machine with 95% confidence.
Design specification for a soft drink filling machine is to fill bottles with 12 ounces of soft drink. A random sample of 49 bottles filled by this machine was sampled and the contents measured. If this sample had a mean measurement of 11.9 ounces with a standard deviation of 0.28 ounces, is the machine really under-filling bottles? Test at a 5% significance level. H0: Ha: a: Test Statistic (show set up, not just an answer): Rejection decision and reasoning using...
A soft-drink manufacturer claims that its 12-ounce cans do not contain, on average, more than 30 calories. A random sample of 68 cans of this soft drink, which were checked for calories, contained a mean of 32 calories with a standard deviation of 3 calories. Does the sample information support the alternative hypothesis that the manufacturer's claim is false? Use a significance level of 5%. Find the range for the p-value for this test. What will your conclusion be using...
11.37 and 11.39
The thermostat in a refrigerator filled with cans of soft drinks malfunctions and the temperature of the refrigerator drops below 0 degree C. The contents of the cans of diet soft drinks freeze, rupturing many of the cans and causing an awful mess. However, none of the cans containing regular, nondiet soft drinks rupture. Why? Why is it important to know if a substance is a strong electrolyte before predicting its effect on the boiling and freezing...
A soft drink vending machine, when in perfect adjustment, fills bottles with 12 ounces of soft drink. A random sample of 25 bottles is selected, and the contents are measured. The sample yielded a mean content of 11.88 ounces, with a sample standard deviation of 0.24 ounce. With a .05 level of significance, test to see if the machine is in perfect adjustment. Assume the distribution of the population is normal. Group of answer choices t = -2.5; therefore, reject...