Please explain a What percentage 001 of flies have thorax le
Please explain
a/ What percentage (±0.01) of flies have thorax lengths less than 0.75 mm?____________ %
b/ What percentage (±0.01) of flies have thorax lengths greater than 0.85 mm?___________ %
c/ What percentage (±0.01) of flies have thorax lengths between 0.75 and 0.85 mm?__________ %
| The thorax lengths in a population of male fruit flies follow a  Normal distribution with mean 0.81 millimeters (mm) and standard  deviation 0.084 mm. a/ What percentage (±0.01) of flies have thorax lengths less than 0.75 mm?____________ % b/ What percentage (±0.01) of flies have thorax lengths greater than 0.85 mm?___________ % c/ What percentage (±0.01) of flies have thorax lengths between 0.75 and 0.85 mm?__________ % | 
Solution
a)
We first get the z score for the critical value. As z = (x - u) / s, then as          
           
 x = critical value =    0.75      
 u = mean =    0.81      
           
 s = standard deviation =    0.084      
           
 Thus,          
           
 z = (x - u) / s =    -0.714285714      
           
 Thus, using a table/technology, the left tailed area of this is          
           
 P(z <   -0.714285714   ) =    0.237525262 or 23.7525262% [ANSWER]
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b)
We first get the z score for the critical value. As z = (x - u) / s, then as          
           
 x = critical value =    0.85      
 u = mean =    0.81      
           
 s = standard deviation =    0.084      
           
 Thus,          
           
 z = (x - u) / s =    0.476190476      
           
 Thus, using a table/technology, the right tailed area of this is          
           
 P(z >   0.476190476   ) =    0.316969342 or 31.6969342% [ANSWER]
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c)
We first get the z score for the two values. As z = (x - u) / s, then as          
 x1 = lower bound =    0.75      
 x2 = upper bound =    0.85      
 u = mean =    0.81      
           
 s = standard deviation =    0.084      
           
 Thus, the two z scores are          
           
 z1 = lower z score = (x1 - u)/s =    -0.714285714      
 z2 = upper z score = (x2 - u) / s =    0.476190476      
           
 Using table/technology, the left tailed areas between these z scores is          
           
 P(z < z1) =    0.237525262      
 P(z < z2) =    0.683030658      
           
 Thus, the area between them, by subtracting these areas, is          
           
 P(z1 < z < z2) =    0.445505396 or 44.5505396 [ANSWER]  

