Mean annual flows in a river in cubic metres per second for two periods of 35 years and 40 years are 62.37 and 63.00 respectively; the corresponding standard deviations being 2.2 and 3.1. It is thought that changes in the flow regime during the middle of the period have modified the distribution of flows (i.e., the mean flow has changed from the first period to the second period). Decide whether the assumption is correct at a significance level α = 0.05
Mean annual flows in a river in cubic metres per second for two periods of 35 years and 40 years are 62.37 and 63.00 respectively; the corresponding standard deviations being 2.2 and 3.1. It is thought that changes in the flow regime during the middle of the period have modified the distribution of flows (i.e., the mean flow has changed from the first period to the second period). Decide whether the assumption is correct at a significance level α = 0.05
Mean annual flows in a river in cubic metres per second for two periods of 35 years and 40 years are 62.37 and 63.00 respectively; the corresponding standard deviations being 2.2 and 3.1. It is thought that changes in the flow regime during the middle of the period have modified the distribution of flows (i.e., the mean flow has changed from the first period to the second period). Decide whether the assumption is correct at a significance level α = 0.05
Mean annual flows in a river in cubic metres per second for two periods of 35 years and 40 years are 62.37 and 63.00 respectively; the corresponding standard deviations being 2.2 and 3.1. It is thought that changes in the flow regime during the middle of the period have modified the distribution of flows (i.e., the mean flow has changed from the first period to the second period). Decide whether the assumption is correct at a significance level α = 0.05. [Hint: Use z statistics to compare the differences in mean values of two populations with unknown 2 1 and 2 2 ]
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 + ...
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