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: A (0.5, 1.5) B(0.5, 3) C(2, 3) D(2.5, 1)
Step-by-step explanation:
Would it be 24? (filler so it hits 20 characters)
Answer: 15 minutes
Explanation:
Answer:
y = 5x +2
Step-by-step explanation:
The point (0, 2) tells us the y-intercept is 2.
If we translate the table down 2 units by subtracting 2 from every y-value, it becomes ...
6, 30
-2, -10
0, 0
10, 50
We notice these values are all related by a factor of 5 (they are proportional). That means the equation will be a straight line with slope 5 and y-intercept 2.
y = 5x +2
