The weight of an energy bar is approximately normally distributed with a mean of 42.90 grams with a standard deviation of 0.045 gram. Explain the difference in the results of (b) and (c). The sample size in (c) is greater than the sample size in (b), so the standard error of the mean (or the standard deviation of the sampling distribution) in (c) is __A__ than in (b). As the standard error __B__ values become more concentrated arount the mean. Therefore, the probability that the sample mean will fall close to the population mean will always__C__ when the sample size increases. A: less or greater B: increases or decreases C: decrease or increase (b): If a sample of 4 energy bars is selected, what is the probability that the sample mean weight is less than 42.865 grams? Answer:0.059 (c): If a sample of 25 energy bars is selected, what is the probability that the sample mean weight is less than 42.865 grams? Answer:0.001
The weight of an energy bar is approximately
Explain the difference in the results of (b) and (c).
The
A: less or greater
B: increases or decreases
C: decrease or increase
(b): If a sample of 4 energy bars is selected, what is the probability that the sample mean weight is less than 42.865 grams? Answer:0.059
(c): If a sample of 25 energy bars is selected, what is the probability that the sample mean weight is less than 42.865 grams? Answer:0.001
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