Angler magazine is seeking a representative sample of outdoor recreational enthusiasts to conduct a survey of its subscribers’ recreational plans for the next fishing season. On average, the population mean number of fishing days for subscribers is 21.6 days per season with a population standard deviation of 30.2 days. If Angler collects a sample of 56 respondents, what is the chance that the sample mean would be more than than 17 days per season
Angler magazine is seeking a representative sample of outdoor recreational enthusiasts to conduct a survey of its subscribers’ recreational plans for the next fishing season. On average, the population mean number of fishing days for subscribers is 21.6 days per season with a population standard deviation of 30.2 days. If Angler collects a sample of 56 respondents, what is the chance that the sample mean would be more than than 17 days per season
Angler magazine is seeking a representative sample of outdoor recreational enthusiasts to conduct a survey of its subscribers’ recreational plans for the next fishing season. On average, the population mean number of fishing days for subscribers is 21.6 days per season with a population standard deviation of 30.2 days. If Angler collects a sample of 56 respondents, what is the chance that the sample mean would be more than than 17 days per season
10. Angler magazine is seeking a representative sample of outdoor recreational enthusiasts to conduct a survey of its subscribers’ recreational plans for the next fishing season.
On average, the population mean number of fishing days for subscribers is 21.6 days per season with a population standard deviation of 30.2 days. If Angler collects a sample of 56 respondents, what is the chance that the sample mean would be more than than 17 days per season?
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 + ...
