Is the answer 44 feet wide? What I did was draw a rectangle an label both widths as 6, that equals 12. Then I subtracted 12 from 96 and got 84 and in order to only get one side length I divided it by 2 and got 42. Next I added 2 to that because the width of one side took up one foot and so did the other side so yeah. I'm just guessing.
Answer:
a = 5
Step-by-step explanation:
Hello, please consider the following.
So, a = 5.
Thank you.
Answer:
<u>x=-1.5</u>
Step-by-step explanation:
To solve for x, you need to rearrange so the x is on one side of the "=" by itself.
So To do that, first you need to subtract 1/4 on both sides of the "=". This leaves you with 1/2+x=-3/4-1/4. You can simplify the -3/4-1/4 to -1 (-4/4). So, you now have 1/2+x=-1.
The next step is to subtract 1/2 on both sides of the "=". This leaves you with x=-1-1/2. Again, you can simplify the -1-1/2 to -3/2 which can be written as -1.5. So, you now have x=-1.5, which is the final answer.
The question may ask you to write your answer in the form of a fraction, in which case your answer x=-3/2. If the questions wants it written as a mixed number, your answer would be -1 1/2.
<em>I have attached a photograph of this method written out using the funnel technique. </em>
Answer:
77
Step-by-step explanation:
For each 2 evergreens there are 7 other trees.
Add 2 +7 = 9.
For each 7 non-evergreens there are 9 trees of all types.
The ratio of non-evergreens to total trees is 7/9.
Let x = number of non-evergreens.
7/9 = x/99
9x = 7 * 99
Divide both sides by 9.
x = 7 * 11
x = 77
The degrees of freedom in testing for differences between the means of two dependent populations where the variance of the differences is unknown are: df = n - 1
<h3>What is the degree of freedom for dependent variables?</h3>
In statistics, degrees of freedom refers to the number of distinct values that can change in an evaluation without exceeding any constraints.
The degree of freedom is crucial and necessary when attempting to comprehend the significance of a test statistic and the validity of the null hypothesis.
In testing for differences between the means of two dependent populations where the variance of the differences is unknown, the degrees of freedom are: df = n - 1
Learn more about calculating degrees of freedom for dependent variables here:
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