Squares of Natural numbers from the range of 1 to 20:
1^2 = 1
2^2 = 4
3^2 = 9
4^2 = 16
(whereas 5^2 = 25 which is outside the range).
There are 4 numbers out of 20, so the probability is 4/20*100% = 20%
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Step-by-step explanation:
I think your question is missed of key information, allow me to add in and hope it will fit the original one.
Please have a look at the attached photo.
My answer:
Question 1: Please see the answer at the photo, remember that when number of quartz is = 1 , Price per quartz = 2. This will be merge against each other.
This step will be repeated for the remaining figure.
Question 2:
As an be seen from the scatter plot, price per quart decrease when the number of quarts increase so the relation between the two variable show a negative association
Hope it will find you well.
Answer:
13 sides.
Step-by-step explanation:
(n - 2) = 1980 / 180 = 11.
n = 13
When the sum of the interior angles is 1980 degrees, the convex polygon will have 13 sides.
i hope this helps and is right! p.s. i really need brainliest :)
Answer:
The reason why standard deviation of the entire class is greater than standard deviation of males and females considered separately, is that mean values for males and females are different from each other.
Step-by-step explanation:
The concept of mean is well represented by the following formula
mean =
, where x1, x2, xn are the observations and N is the number of observations (population).
Standard deviation represents the distance between each observation and the mean of the population (all observations). The formula for this parameter is:
Standard deviation =√[((x1 - x)² + (x2-x)² + ....+ (xn-x)²)/N-1], where x1, x2,..., xn are the observations and x is the mean value.
In this case you have that each height registered is an observation and the number of observations represents the N value. As you can see if the mean for males is different from that of females their standard deviation will be different too. Usually males have heigths greater than that of females (1.77 vs 1.64, in USA for example), and heights inside each group will be more similar than between groups. Then, when you mix all observation there will be an increase in standard deviation, because you are mixing very different heigths