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tangare [24]
4 years ago
11

Solve. -8 = d + 6 a.-14 b.-2 c.2 d.14

Mathematics
1 answer:
Crank4 years ago
6 0
The correct answer is B -2.
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Solve for x 11/12=10/3x+5-3/4x
Mazyrski [523]

Answer:

x = −49/31

Step-by-step explanation:

6 0
4 years ago
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What is the expanded form of 503.208
xxMikexx [17]

Answer: 500 + 3 + .200 +.008

Step-by-step explanation: You add 500 and 3 then after you get your number add .200 then add .008

6 0
3 years ago
-18=-10-1.5m<br> can someone help
Brums [2.3K]

Answer:

<h2><u><em>m= 16/3</em></u></h2>

Step-by-step explanation:

-18=-10-1.5m

-18+10=-1.5m

-8=-1.5m

m=-8:(-1.5)

m=80:15

m= 16/3

4 0
2 years ago
Integrated circuits consist of electric channels that are etched onto silicon wafers. A certain proportion of circuits are defec
boyakko [2]

Answer:

z=\frac{0.033 -0.05}{\sqrt{\frac{0.05(1-0.05)}{1000}}}=-2.467  

p_v =P(Z>-2.467)=0.0068  

So the p value obtained was a very low value and using the significance level assumed for example \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of circuits that show evidence of undercutting is significantly less than 0.05.  

Step-by-step explanation:

1) Data given and notation  

n=1000 represent the random sample taken

X=33 represent the number of circuits that show evidence of undercutting

\hat p=\frac{33}{1000}=0.033 estimated proportion of circuits that show evidence of undercutting

p_o=0.05 is the value that we want to test

\alpha represent the significance level

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that they reduce the rate of undercutting to less than 5%.:  

Null hypothesis:p\geq 0.05  

Alternative hypothesis:p < 0.05  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

3) Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.033 -0.05}{\sqrt{\frac{0.05(1-0.05)}{1000}}}=-2.467  

4) Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(Z>-2.467)=0.0068  

So the p value obtained was a very low value and using the significance level assumed for example \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of circuits that show evidence of undercutting is significantly less than 0.05.  

4 0
3 years ago
The volume of a sphere with a diameter of 6
KiRa [710]

Answer:

113.1

Step-by-step explanation:

Formula: V=4/3pi radius^3

radius = 1/2 diameter

plug it in

3 0
3 years ago
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