The mean weight of sachet of 3-in-1 coffee is 20 grams with a standard deviation of 1.2 grams. A sample of 36 sachets is taken from the production line. 1. What is the mean of the sampling distribution of sample means? 2. What is the variance of the sampling distribution of the sample mean? 3. What is the standard deviation of the sampling distribution of the sample mean? 4. What is the probability that the mean of a random sample of 36 sachets of coffee will have a mean weight that is less than 19.6 grams? 5. What is the probability that the mean of a random sample of 36 sachets of coffee will have a mean weight that is greater than 19.6 grams? 6. What is the probability that the mean of a random sample of 36 sachets of coffee will have a mean weight that between 19.5 and 20.3 grams?

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...