Answer:
Step-by-step explanation:
What if i say NO?
jk
3*3=9
8+3=11
12-3=9
sp
9*11=99
2 area coverd so far
99+9=108
7*2=14
108+14=122
Lastly the tir
10-7=3
11-3-2=6
6*4=24
24/2=12
It’s function one cause if you find the slope on the table it’s 3/1 which is basically just 3. Then the y-intercept is -3.
Function 1 slope is 5 or 5/1 and y-intercept is 4
No, -8 - 2(3 + 2n) + 7n is not equivalent to -30 - 13n
Step-by-step explanation:
Let us revise the operation of the negative and positive numbers
- (-) + (-) = (-)
- (-) × (-) = (+)
- (-) + (+) = the sign of greatest [(-) if the greatest is (-) or (+) if the greatest is (+)]
- (-) × (+) = (-)
- (-) - (+) = (-)
- (+) - (-) = (+)
∵ The expression is -8 - 2(3 + 2n) + 7n
- Simplify it
∵ 2(3 + 2n) = 2(3) + 2(2n) = 6 + 4n
∴ -8 - 2(3 + 2n) + 7n = -8 - (6 + 4n) + 7n
- Multiply the bracket by (-)
∴ -8 - (6 + 4n) + 7n = -8 - 6 - 4n + 7n
- Add the like terms
∴ -8 - (6 + 4n) + 7n = (-8 - 6) - 4n + 7n
∴ -8 - (6 + 4n) + 7n = -14 + 3n
∴ -8 - 2(3 + 2n) + 7n is equivalent to -14 + 3n
∵ -14 + 3n ≠ -30 - 13n
∴ -8 - 2(3 + 2n) + 7n is not equivalent to -30 - 13n
No, -8 - 2(3 + 2n) + 7n is not equivalent to -30 - 13n
Learn more:
You can learn more about the directed numbers in brainly.com/question/10364988
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The question is worded incorrectly. It should say the DENSITY of water is 62 1/2 lbs per cubic foot. Divide the weight by the density to get volume.
(150 lbs) / (62.5 lbs/ft3) = ? ft3 (the two 3's are exponents. so it'd be ft then an exponent of 3.)
Answer:
The correct option is a
Step-by-step explanation:
From the question we are told that
The population mean is
The standard deviation is
The sample size is n = 9
The null hypothesis is
The alternative hypothesis is
The level of significance is
The sample mean is
Generally the test statistics is mathematically represented as
=>
=>
From the z table the area under the normal curve to the right corresponding to 1.2 is
Generally the p-value is mathematically represented as
=>
=>
From the value obtained w can see that
hence
The decision rule is
Fail to reject the null hypothesis
The conclusion is there is not enough evidence to support the claim