Answer:
Mean absolute deviation is a statistical measure of dispersion. Whisker box-plot is a graphical method of quartile based divided data
Step-by-step explanation:
Mean Absolute Deviation is a statistical measure of dispersion or variability in data. It denotes average level of deviation of observations from the central mean.
It is calculated using following formula : ( Σ | X - X' | ) ÷ N ; where X = individual observations, X' = mean, N = no. of observations
Whisker Box-plot is a graphical method of representing group of numerical data through their quartiles. This also consists line extensions from boxes, showing scatter beyond lower & upper quartile.
I need help on this one too this stuff is hard sometimes
If you use the square root and put it in (-1-2)^2+(4--9)^2 it will equal = 13.34166406
Required probability is 0.8990
Given that,
p = 0.44
1 - p = 0.56
n = 736
0.01830
Converting Normal distribution to standard normal because A normal distribution is determined by two parameters the mean and the variance. A normal distribution with a mean of 0 and a standard deviation of 1 is called a standard normal distribution. Hence it's easy to work with standard normal distribution.
P(0.14<
<0.47) = P((0.41-0.44)/0.01830) < 
<(0.47-0.44)/0.01830
Using normal algebra we get:
= P(-1.64 < z < 1.64)
= P(z < 1.64) - P(z < -1.64)
= 0.9495 - 0.0505
= 0.8990
Thus, required probability is 0.8990
To learn more about normal distribution visit:
brainly.com/question/4079902
#SPJ4
