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2 years ago

What is meant by a stratified sample?

Mathematics

2 answers:

valina [46]2 years ago

7 0

Answer:

Sampling that is used to represent different groups depending on their different qualities.

Hope that helps. x

snow_lady [41]2 years ago

5 0

Answer:

A stratified random sampling involves dividing the entire population into homogeneous groups called strata (plural for stratum). Random samples are then selected from each stratum. ... A random sample from each stratum is taken in a number proportional to the stratum's size when compared to the population.

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The structure of a two-factor study can be presented as a matrix with the levels of one factor determining the rows and the leve

slega [8]

Answer:

Following are the solution to this question:

Step-by-step explanation:

It provides three different hypotheses in such a two-factor ANOVA:

In point A:

H o: With all factor A levels, the ways are equivalent

Ha: A least another element A level does have a transfer to another

In point B:

Ha: The least one Factor A the level does have a transfer to another

H o: With all Factor B levels the results are about the same.

In point C:

Ha: At most one Variable B level does have a transfer than any other level.

H o: There are no interactions among the factors

Ha: The interactions of factors are important

When ANOVA is executed, they get three p-sets (one for all 3 hypotheses)

(a) If Variable A's p-value is much less alpha, we will reject the null and embrace Ha and infer that Factor A is important. Anything else, H o also isn't rejected and that there is no evidence which Factor A is important

(b) If p- is < alpha, otherwise we reject The null, accept Ha, and infer which Factor B is relevant. Factor B is significant. Conversely, we may not condemn H o but claim there isn't enough proof which Factor B is important

(c)

If they reject H o and agree to the point p- for the A x B interaction is a < alpha Ha, and conclude that the interaction from A to B is important. So, perhaps we can deny H o and claim, that neither proof of interactions is sufficient From A to B.

8 0

3 years ago

What is the length of AC?<br> ОЗft<br> o4ft<br> 9 ft<br> 09 ft<br> o18 ft

Nezavi [6.7K]

Answer:

18 ft

Step-by-step explanation:

4 0

3 years ago

Read 2 more answers

If Brenda has 10 math problems to solve and she can solve one math problem per minute how long will it take her to solve all 10

Nina [5.8K]

Answer:she will take 10 minutes

Step-by-step explanation:

7 0

3 years ago

Read 2 more answers

Lydia graphed ADEF at the coordinates D (-2,-1), E (-2, 2), and F (0,0). She thinks ADEF is a right triangle. Is Lydia's asserti

Setler79 [48]

The true statement is (c) No; the slopes of segment EF and segment DF are not opposite reciprocals.

<h3>Right triangles </h3>

Right triangles have a pair of perpendicular lines

Coordinates

The coordinates are given as:

D = (-2,-1)
E = (-2,2)
F = (0,0)

<h3>Slopes</h3>

Start by calculating the slopes of lines DF and EF using:

$m = \frac{y_2 -y_1}{x_2 -x_1}$

So, we have:

$m_{DF} = \frac{0 + 1}{0 +2}$

$m_{DF} = \frac{1}{2}$

Also, we have:

$m_{EF} = \frac{0 -2 }{0+2}$

$m_{EF} = \frac{-2 }{2}$

$m_{EF} = -1$

For the triangle to be a right triangle, then the calculated slopes must be opposite reciprocals.

i.e.

$m_1 = -\frac{1}{m_2}$

By comparison, the slopes of both lines are not opposite reciprocals.

Hence, the true statement is (c)

Read more about right triangles at:

brainly.com/question/17972372

7 0

2 years ago

Read 2 more answers

The city of Oakland is experiencing a movement of its population to the suburbs. At present 85% of the total population lives in

Oxana [17]

Answer:

A. $\left[\begin{array}{cc}0.93&0.07&\\0.01&0.99&\end{array}\right]$

B. (0.85 0.15)

C. 79.2% population in the city while 20.8% population in the suburb

Step-by-step explanation:

(a) The transition matrix for the information is

C S

$\left[\begin{array}{cc}0.93&0.07&\\0.01&0.99&\end{array}\right]$

(b) the probability vector for the information is

$(\frac{85}{100} \ \ \frac{15}{100} )$

and this gives us

(0.85 0.15)

(c) we simply multiply the above two matrices to find the percent of the population can be expected to be in each category after one year after

$\left[\begin{array}{cc}0.85&0.15\end{array}\right] \left[\begin{array}{cc}0.93&0.07&\\0.01&0.99&\end{array}\right] = \left[\begin{array}{cc}0.792&0.208&\end{array}\right]$

in the city there are 79.2% while in the suburb, there are 20.8%

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3 years ago