X-int:let y=0
3x-2(0)=18
3x=18
divide both sides by 3
therefore x=6
y-int:let x=0
3(0)-2y=18
-2y=18
we divide both side by -2
therefore y=-9
<span>Pertains to y-intercept is then 0.</span>
It introduces the relationship between two variables and is called correlation. Proportionality or variation is state of relationship or correlation between two variables It has two types: direct variation or proportion which states both variables are positively correlation. It is when both the variables increase or decrease together. On the contrary, indirect variation or proportion indicates negative relationship or correlation. Elaborately, the opposite of what happens to direct variation. One increases with the other variables, you got it, decreases. This correlations are important to consider because you can determine and identify how two variables relates with one another. Notice x = y (direct), y=1/x (indirect)
Its a repeating decimal 0.22222222222222222222222
Answer:
The correct option is (C).
Step-by-step explanation:
Let <em>X</em> = heights for adult men in a certain population.
The random variable <em>X</em> follows a Normal distribution with mean <em>μ</em> = 70 inches and standard deviation, <em>σ</em> = 4 inches.
Compute the heights that represents the middle 80 percent of the heights as follows:
The value of <em>z</em> for the probability P (Z < <em>z</em>) = 0.90 is,
<em>z</em> = 1.282
*Use a <em>z</em>-table.
Compute the two heights as follows:
Thus, the two heights which represents the middle 80 percent of the heights are 64.87 inches and 75.13 inches.
The correct option is (C).
Answer:
A. It is a two tailed test about a proportion
Step-by-step explanation:
We are given;
Population proportion; p= 8% = 0.08
Sample size; n = 450
Defective ones in the sample = 27
Sample proportion; p^ = 27/450 = 0.06
Let's define the hypotheses.
Null Hypothesis; H0: p = 0.08
Alternative hypothesis;Ha: p ≠ 0.08
≠ is used for the alternative hypothesis because we can't really ascertain if the training was going to make things worse.
Thus, this is a two tailed hypothesis test about a proportion.
