The mean length of a candy bar is supposed to be 43 millimeters. There is concern that the settings of the machine cutting the bars have changed. Test the claim at the .02 level that there has been no change in mean length. The alternate hypothesis is that there has been a change. Twelve bars (n = 12) were selected at random and their lengths in millimeters are: 42, 39, 42, 45, 43, 40, 39, 41, 40, 42, 43, and 42. The mean length of the sample is 41.5. The sample standard deviation is 1.784. The population standard deviation is not known. If the computed t = −2.913, has there been a statistically significant change in the mean length of the candy bars?
Multiple Choice
Yes, because the computed t lies in the rejection region.
No, because the information given is not complete.
No, because the computed t lies in the area to the right of −2.718.
Yes, because 43 is greater than 41.5.
The mean length of a candy bar is supposed to be 43 millimeters. There is concern...
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3. A candy bar producer is producing a new candy bar that has a normal distribution with a mean of 43.4 grams and a standard deviation of.15 grams. a. If every bar is labeled as 43 grams, what proportion of the bars contain less than the labeled amount? b. If only 1.5% of the candy bars exceed weight w, what is the value of w?
3. A candy bar producer is producing a new candy bar that has a normal distribution with a mean of 43.4 grams and a standard deviation of .15 grams a. If every bar is labeled as 43 grams, what proportion of the bars contain less than the labeled amount? b. If only 1.5% of the candy bars exceed weight w, what is the value of w?
Suppose that a candy company makes a candy bar whose weight is supposed to be 50 grams, but in fact, the weight varies from bar to bar according to a normal distribution with mean μ = 50 grams and standard deviation σ = 2 grams. If the company sells the candy bars in packs of 4 bars, what can we say about the likelihood that the average weight of the bars in a randomly selected pack is 4 or more grams lighter than advertised?
A bolt fabrication machine makes bolts with a target length of μ = 15.125 millimeters. The machine has some variability, so the standard deviation of the length is σ = 0.175 millimeter. The machine operator inspects a random sample of 12 bolts each hour for quality control purposes and records the sample mean diameter, x̄. Assuming the process is working properly, what are the mean and standard deviation of the sampling distribution of x̄?
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