Answer:
sample variances
Step-by-step explanation:
The pooled variance method is used to estimate the variance of several different population with different means, but are assume to have the same variance.
The weights represent the sample variances.
So the correct answer is
sample variances
Composite is a number that is NOT prime. So we want to find an odd perfect square that IS prime to be a counterexample.
√36 = Not odd
√49 = 7 Factors only 1 * 7 so it is prime
√81 = 9 Factors 1, 3, 9 composite
√225 = 15 Factors 1,3, 5,9,15, 25, 45, 75, 225 composite
Counterexample for 2∧n - 1 Is prime
2^6 - 1 = 64 - 1 = 63 NOT PRIME Factors are: 1, 3, 7, 9,21, 63
2^5 - 1 = 32 - 1 = 31 Prime
2^3 - 1 = 8 - 1 = 7 Prime
2^2 - 1 = 4 - 1 = 3 Prime
Answer:Initiation fee is $400 while monthly fee is $10
Step-by-step explanation:
Let the initial fee be x which is fixed while the monthly fee be y
At the end of 5 months, 450 was paid
This means that;
x + 5y = 450 ••••••••(i)
At the end of 10 months, $500 was paid
Mathematically, this means that;
x + 10y = 500•••••••••••(ii)
now we solve both equations simultaneously to get the value of x and y
our equation ii can be rewritten as;
x + 5y + 5y = 500
we can now insert equation i directly into this
450 + 5y = 500
5y = 500-450
5y = 50
y = 50/5
y = $10
From x + 5y = 450
let’s insert the calculated value of y
x + 5(10) = 450
x + 50 = 450
x = 450-50
x = $400
We know that the line is tangent at the point (2,8)
The derivative of the function at x=2 is
So, the tangent line passes through the point (2,8) and has slope 2. The equation is
This line crosses the x axis where y=0:
The distribution shape that tells us for which it is best to use the mean is the skewed.
<h3>What is the mean?</h3>
This is the term that is used to refer to the average score that exists in a data set.
In the question, these are the reasons why the other options are not correct
When we say Bimodal we are talking about the 2 modes that are in a symmetric distribution. This has nothing to do with the mean
The bell shape has to do with how the normal distribution is when it is drawn. It would create a bell shape hence the mean is not useful.
symmetric has to do with the fact that there are mirror images when the vertical line is drawn in the distribution.
Uniformed shapes tells us that the classes are made up of the same frequency all through.
The skewed shape is what tells us if the median is more or if it is less.
Hence we have the answer that the distribution shapes for which it is most often appropriate to use the mean is the skewed.
Read more on the mean here
brainly.com/question/17847237
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