Let us say that:
x = cost of shorts
y = cost of slacks
z = cost of sports coat
From the given statements, we can create the following
equations:
eqtn 1: 3 x + y =
10.96
eqtn 2: 7 x + 2 y +
z = 30.40
eqtn 3: 4 x + z =
14.45
Rewrite eqtn 1 explicit to y:
y = 10.96 – 3 x -->
eqtn 4
Rewrite eqtn 3 explicit to z:
z = 14.45 – 4x -->
eqtn 5
Plug in the values of y (eqtn 4) and z (eqtn 5) to eqtn
2:
7 x + 2 (10.96 – 3 x) + 14.45 – 4 x = 30.40
7 x + 21.92 – 6 x + 14.45 – 4 x = 30.40
- 3 x + 36.37 = 30.40
- 3 x = - 5.97
x = 1.99
Eqtn 4:
y = 10.96 – 3 x
y = 10.96 – 3 (1.99)
y = 4.99
Eqtn 5:
z = 14.45 – 4x
z = 14.45 – 4 (1.99)
z = 6.49
Therefore each shirt cost $1.99, each slacks cost $4.99,
and each sports coat cost $6.49.
<span> </span>
Answer:
The solution is (-2,2)
Step-by-step explanation:
The graph is shown below.
Oh I totally know that answer it is did you right notes if you did then yay because in there somewher is you answer
Answer:
x = 5
Step-by-step explanation:
Step 1: Write equation
-(1 + 7x) - 6(-7 - x) = 36
Step 2: Solve for <em>x</em>
- Distribute: -1 - 7x + 42 + 6x = 36
- Combine like terms: -x + 41 = 36
- Subtract 41 on both sides: -x = -5
- Divide both sides: x = 5
Step 3: Check
<em>Plug in x to verify it's a solution.</em>
-(1 + 7(5)) - 6(-7 - 5) = 36
-(1 + 35) - 6(-12) = 36
-(36) + 72 = 36
-36 + 72 = 36
36 = 36
Answer:
D) P-045 says that a response this small or smaller would be seen in sample data almost half the time when in fact there is no effect in the entire population of rats. That is, a response this size would often happen just by chance.
Step-by-step explanation:
The P-value represents the probability of getting the test sample results given that the null hypothesis is true.
A P-value that is low enough (smaller than the significance level) gives statistical evidence to support that the null hypothesis is not true.
In this case, a P-value of 0.45 does not represent a strong evidence against the null hypothesis, as there is 45% of chances of getting this sample results if the null hypothesis is true.
In this case, as we talk about differences ("no difference was seen" between the two groups), we know that the sample difference has not been large enough to be proved statistically significant.
So the right answer is Option d).
