A standard kitchen worktop is designed to cater for people whose heights are between 1.5m. and 2.0m. Given that the heights of adult males are normally distributed with a mean of 1.7m. and standard deviation of 0.10m, and heights of adult females are normally distributed with a mean of 1.65m. and a standard deviation of 0.10m, what proportion of the adult population can use the worktops? (assume equal numbers of males and females)
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Hi,
Calculate the percentage included in each range of heights using your TI-83. It has the command normalcdf(min,max,mean,stddev) under DISTR.
For men, normalcdf(1.5,2,1.7,.1) = .9759
For women, normadcdf((1.5,2,1.65,.1) = .9330
(.9759 + .9330)/2 = .9544 or 95.44% of the adult population could use the counter <==ANSWER
I hope that helps!! :-)
Calculate the percentage included in each range of heights using your TI-83. It has the command normalcdf(min,max,mean,stddev) under DISTR.
For men, normalcdf(1.5,2,1.7,.1) = .9759
For women, normadcdf((1.5,2,1.65,.1) = .9330
(.9759 + .9330)/2 = .9544 or 95.44% of the adult population could use the counter <==ANSWER
I hope that helps!! :-)
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Calculate Z-scores for men: 1.5 = 1.7 - 2(0.1) ..and.. 2.0 = 1.7 + 3(0.1)
So, men are 2 standard deviations below and 3 above. That is, 97.5% (= 47.5% below + 50% above) of men can use the worktops.
Calculate Z-scores for women: 1.5 = 1.65 - 1.5 (0.1) .. and .. 2.0 = 1.65 + 3.5 (0.1).
So, women are 1.5 standard deviations below and 3.5 standard deviations above. That is, X.Y% (=A.B% below corresponding to Z-score of -1.5 + 50% above corresponding to Z-score of 3.5)
So, men are 2 standard deviations below and 3 above. That is, 97.5% (= 47.5% below + 50% above) of men can use the worktops.
Calculate Z-scores for women: 1.5 = 1.65 - 1.5 (0.1) .. and .. 2.0 = 1.65 + 3.5 (0.1).
So, women are 1.5 standard deviations below and 3.5 standard deviations above. That is, X.Y% (=A.B% below corresponding to Z-score of -1.5 + 50% above corresponding to Z-score of 3.5)