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
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The matching function is what the example situation needs to perform to channel intermediaries in contributing values. In addition, the method is used to "match" the unmatched factors to its designated type. The Cobb-Douglas' equation is commonly used in describing the matching function.
Answer:
B. x=75
Step-by-step explanation:
First, write out the equation as you have it:
x/5=15
Then, multiply both sides of the equation by 5/1:
5/1(x/5)=15(5/1)
Your result is:
x=75
Answer:
yes it is the 10th term in the series
Step-by-step explanation:
The nth term of a geometric sequence is
= a₁ 
where a₁ is the first term and r the common ratio
Here a₁ = 7 and r = 
= 
= 2 , then
= 7 
Equate to 3584 and solve for n
7 = 3584 ( divide both sides by 7 )
= 512 , that is
= 
Since the bases on both sides are equal, both 2 , then equate the exponents
n - 1 = 9 ( add 1 to both sides )
n = 10
3584 is the 10th term in the series
Answer:
Option A is correct.
y = 35.4 bushels per acre when rainfall = 7.1 inches
Step-by-step explanation:
An image of the steps to obtain the equation that relates x to y is attached to this answer.
n = number of variables = 9
μₓ = mean of variable x (rainfall in inches)
μᵧ = mean of variable y (yield in bushels per acre)
σₓ = standard deviation of variable x (rainfall in inches)
σᵧ = standard deviation of variable y (yield in bushels per acre)
y = 4.379x + 4.268
when x = 7.1
y = 4.379(7.1) + 4.268 = 35.3589 = 35.4 bushels per acre.
