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:
Step-by-step explanation:
Ke = 1/2mv^2
Ke= .5x500kgx(12m/s)^2
Ke = 36,000 J
The answer is C. 5.000039x10^6.
In order to change something into scientific notation you have to move the decimal place enough times to get the first number to be between 1 and 9. After that, you must count how many space you moved it and that is your exponent. Moving the decimal space to the left gives you a positive exponent. Moving it to the right gives you a negative exponent.