Answer:
option (d) 16.6 and 21.4
Step-by-step explanation:
Data provided in the question:
The mean life for a particular use before they failed = 19.0 hours
The distribution of the lives approximated a normal distribution
The standard deviation of the distribution = 1.2 hours
To find:
The values between which 95.44 percent of the batteries failed
Now,
In Normal distribution, the approximately 95% ( ≈ 95.44% of all values ) falls within 2 standard deviations of the mean
Therefore,
Upper limit = Mean + 2 × standard deviation
⇒ Upper limit = 19.0 + 2 × 1.2 = 21.4
Lower limit = Mean - 2 × standard deviation
⇒ Lower limit = 19 - 2 × 1.2 = 16.6
Hence,
the answer is option (d) 16.6 and 21.4
Answer:
868 m³
Step-by-step explanation:
Volume = Difference of cones
V = ⅓(pi×r²h)
Volume of cone with base Circle O:
h = 8.2+8.2 = 16.4 m
V1 = ⅓(pi×7.6²×16.4)
V1 = 991.97
Volume of cone with base Circle A:
V2 = ⅓(pi×3.8²× 8.2)
V2 = 124 m³
Volume = V1 - V2
991.97 - 124 = 868 m³
Answer:
False
Step-by-step explanation:
<span>Defective rate can be expected
to keep an eye on a Poisson distribution. Mean is equal to 800(0.02) = 16,
Variance is 16, and so standard deviation is 4.
X = 800(0.04) = 32, Using normal approximation of the Poisson distribution Z1 =
(32-16)/4 = 4.
P(greater than 4%) = P(Z>4) = 1 – 0.999968 = 0.000032, which implies that
having such a defective rate is extremely unlikely.</span>
<span>If the defective rate in the
random sample is 4 percent then it is very likely that the assembly line
produces more than 2% defective rate now.</span>
Answer: 132 degree
Step-by-step explanation:
X + 48 = 180
X = 180 - 48
X = 132 degree
