QUESTION 8The mean labour productivity (output per worker per hour, in Rand) of a random sample of 26 textile manufacturers that export their products to foreign markets is R180.40 (with a standard deviation of 51.7). Likewise, the mean labour productivity of an independent random sample of 21 textile manufacturers that do not export their production is 159.30 (with a standard deviation of 42.9). Suppose that labour productivity is normally distributed for both types of manufacturing firms. Using this information, the 90% confidence interval for the standard deviation of the labour productivity of non-exporting textile manufacturers is for the lower limit and for the upper limit. (Note: You must write your final answers to 3 decimal places. When writing your answers, use "." (e.g. 3.250) instead of "," (i.e. 3,250) with no spaces between digits).

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Description: QUESTION 8The mean labour productivity (output per worker per hour, in Rand) of a random sample of 26 textile manufacturers that export their products to foreign markets is R180.40 (with a standard deviation of 51.7). Likewise, the mean labour produc

From the chi square distribution, n-1s2o2 follows chi square distribution with (n - 1) degrees of…

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MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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QUESTION 8

The mean labour productivity (output per worker per hour, in Rand) of a random sample of 26 textile manufacturers that export their products to foreign markets is R180.40 (with a standard deviation of 51.7). Likewise, the mean labour productivity of an independent random sample of 21 textile manufacturers that do not export their production is 159.30 (with a standard deviation of 42.9). Suppose that labour productivity is normally distributed for both types of manufacturing firms. Using this information, the 90% confidence interval for the standard deviation of the labour productivity of non-exporting textile manufacturers is for the lower limit and for the upper limit. (Note: You must write your final answers to 3 decimal places. When writing your answers, use "." (e.g. 3.250) instead of "," (i.e. 3,250) with no spaces between digits).

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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