Answer:
Step-by-step explanation:
It is possible to obtain a ""quick-and-dirty"" estimate of the mean of a normal distribution from the 50th percentile value on a normal probability plot, because normal distribution curve is symmetrical about its mean with 50% on either side of the mean. Also it is unimodal, with mean = median = mode. Because of symmetrical shape, and other special properties we can obtain estimate of mean as the 50th percentile of any normal distribution.
Also in normal distribution 34% lie between mean and 1 std deviation on right side/left side
This gives 84th percentile is got by taking the z value on right side of mean.
When we subtract 84th percentile value from the 50th percentile value we really get -1 times std deviation. Hence to get std deviation actual value, without negative sign, we subtract (50-34) = 16th percentile from mean.
Answer:
114
Step-by-step explanation:
Newton's Law of Cooling states that the change
of the temperature of an object is proportional to the difference between its
own temperature and the ambient temperature over time.
Therefore when expressed mathematically, this is equivalent
to:
dT = - k (T – Ts) dt
dT / (T – Ts) = - k dt
Integrating:
ln [(T2– Ts) / (T1– Ts)] = - k (t2 – t1)
Before we plug in the values, let us first convert the
temperatures into absolute values R (rankine) by adding 460.
R = ˚F + 460
T1 = 200 + 460 = 660 R
Ts = 70 + 460 = 530 R
ln [(T2– 530) / (660 – 530)] = - 0.6 (2 - 0)
T2 = 569.16 R
T2 = 109 ºF
Answer: After 2 hours, it will be 109 ºF
Answer:
31.6 sq.in i got by using 2pier formula
Answer:
I dont no :)
Step-by-step explanation:
lol
