Answer:
93
Step-by-step explanation:
by remainder theorem p(3) is the remainder
and therefore it is 93
Answer:
False
Step-by-step explanation:
There might be a chance I am wrong though sorr for the inconvinience
Answer:
0.347% of the total tires will be rejected as underweight.
Step-by-step explanation:
For a standard normal distribution, (with mean 0 and standard deviation 1), the lower and upper quartiles are located at -0.67448 and +0.67448 respectively. Thus the interquartile range (IQR) is 1.34896.
And the manager decides to reject a tire as underweight if it falls more than 1.5 interquartile ranges below the lower quartile of the specified shipment of tires.
1.5 of the Interquartile range = 1.5 × 1.34896 = 2.02344
1.5 of the interquartile range below the lower quartile = (lower quartile) - (1.5 of Interquartile range) = -0.67448 - 2.02344 = -2.69792
The proportion of tires that will fall 1.5 of the interquartile range below the lower quartile = P(x < -2.69792) ≈ P(x < -2.70)
Using data from the normal distribution table
P(x < -2.70) = 0.00347 = 0.347% of the total tires will be rejected as underweight
Hope this Helps!!!
8 were defective.
Defective percent = 8/84 x 100 = 9.5238% were defective.
Percent not defective = 100% - 9.5238% = 90.4761%
Rounding to the nearest tenth 90.5% were not defective.
The question doesn’t say how to round the answer so you may need to round differently than I did.
