This is an example of "a stratified sample".
<u>Answer:</u> Option B
<u>Explanation:</u>
A group-based sampling process that can be divided into subpopulations. For statistical studies, testing of each subpopulation separately may be useful if subpopulations within a total population differ, thus understood as "Stratified sampling".
One might, for instance, divide a adults sample into subgroups in terms of age, like 18 to 29, 30 to 39, 40 to 49, 50–59 etc with decided age difference as needed. A stratified sample may be more accurate than an easy sample of the similar size by random. As it offers more accuracy, a stratified sample sometimes involves a smaller sample, saving money.
If a< c< b then a<c and c<b
Separate the equation into 2 separate ones and solve them:
X-9 < 4x +3
Subtract 3 from both sides:
X-12 < 4x
Subtract x from both sides:
-12< 3x
Divide both sides by 3:
X > -4
4x+3 < 27
Subtract 3 from both sides
4x < 24
Divide both sides by 4
X <6
Combine to get one inequality:
-4<x<6
Answer:
Step-by-step explanation:
f(x)=x^2 represents a parabola with vertex at (0, 0), that opens up.
If we translate this graph h units to the right, then g(x) will be:
g(x) = (x - h)^2.
If we translate the graph of f(x)=x^2 k units up, then g(x) will be:
f(x)=x^2 + k
Next time, please indicate whether you are shifting the original graph to the right or to the left, and/or up or down.
Given: Mean of Normal distribution μ = 100, standard deviation σ =20
We have to find the probability that the score will be less than X=84
P(X < 84)
The z-score for x=84 is
Z = ![\frac{x-mean}{standard deviation}](https://tex.z-dn.net/?f=%20%5Cfrac%7Bx-mean%7D%7Bstandard%20deviation%7D%20%20)
Z = ![\frac{84-100}{20}](https://tex.z-dn.net/?f=%20%5Cfrac%7B84-100%7D%7B20%7D%20%20)
Z = -0.8
We have to find probability that Z < -0.8
Using Z score table to find the probability below z=-0.8 we get
P(Z < -0.8) = 0.2119
Hence the probability that the score will be less than x = 84 is 0.2119