Answer:
3972.72 specimens
Step-by-step explanation:
We solve using the z score formula:
z = (x-μ)/σ where
x is the raw score = 73 cm
μ is the population mean = 147 cm
σ is the population standard deviation = 30 cm
N is the number of samples = 4000
For x > 73
z = 73 - 147/30
z = -2.46667
Probability value from Z-Table:
P(x<73) = 0.0068189
P(x>73) = 1 - P(x<73) = 0.99318
The probability of having a height greater than 73cm is: 0.99318
The number of specimens that have a height greater than 73cm is calculated as: 0.99318 × 4000
= 3972.72 specimens
Answer:
18
Step-by-step explanation:
because 20% of 90 is 18
Answer:
Since the prime factor '3' does not form a triplet , hence the given number is not a perfect cube.
Answer:
Lauren's percent error = 13.95% Approx
Step-by-step explanation:
Given:
Number of photos predict = 129
Number of photos actual = 111
Find:
Lauren's percent error
Computation:
Lauren's percent error = [(Number of photos predict - Number of photos actual)/(Number of photos predict)]100
Lauren's percent error = [(129 - 111)/129]100
Lauren's percent error = [(129 - 111)/129]100
Lauren's percent error = [(18)/129]100
Lauren's percent error = 13.95% Approx
Answer:
-70003
Step-by-step explanation:
-70000 - 3 = - 70003
