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JulijaS [17]
3 years ago
15

Find the value of x in each case: Pls answer as fast as possible Thank You!!!!!!!

Mathematics
1 answer:
ycow [4]3 years ago
6 0

m\angle AEB+4x=180^o\to m\angle AEB=180^o-4x\\\\\angle DEB=2x+\angle AEB\ \text{and}\ \angle EBC=6x\ \text{are Alternate Interior Angles}\\\\\text{Alternate Interior Angles are congruent (have the same measure)}\\\\\text{Therefore we have the equation:}\\\\m\angle DEB=m\angle EBC\\\\2x+(180^o-4x)=6x\\\\2x+180^o-4x=6x\\\\(2x-4x)+180^o=6x\\\\-2x+180^o=6x\qquad|\text{add 2x to both sides}\\\\180^o=8x\qquad|\text{divide both sides by 8}\\\\22.5^o=x\to x=22.5^o

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Plzz help 22 points, 11 if brainliest
OLEGan [10]

Step-by-step explanation:

plz I cannot see the pdf.

6 0
3 years ago
Please help. The survey data, and question is in the picture provided.
notka56 [123]

Answer:

\frac{83}{186}

Step-by-step explanation:

In probability, "OR" means "+" and "AND" means "*".

The total amount of people is:

32 + 54 + 78 + 112 + 96 = 372

Number of diabetic patients are 54

Number of eye patients are 112

Since we want "OR", we will add the two probabilities:

P(diabetic or eye problem) = 54/372 + 112/372 = 83/186

5 0
3 years ago
The Late Show with David Leterman is seen by a relatively large percentage of household members who record the show for viewing
Zanzabum

Answer:

a) Null hypothesis:\mu \leq 40000  

Alternative hypothesis:\mu > 40000  

b) t=\frac{41182-40000}{\frac{19990}{\sqrt{1700}}}=2.438    

c) The first step is calculate the degrees of freedom, on this case:  

df=n-1=1700-1=1699  

Since the sample size is large enough we cna use the z distribution as an approximation for the statsitic on this case.

Since is a one right tailed test the p value would be:  

p_v =P(t_{(1699)}>2.438)=0.0074  

d) If we compare the p value and the significance level given \alpha=0.01 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis at 1% of signficance.  So we can conclude that the true mean is higher than 40000 at the significance level assumed.

Step-by-step explanation:

Data given and notation  

\bar X=41182 represent the sample mean

s=19990 represent the sample standard deviation

n=1700 sample size  

\mu_o =40000 represent the value that we want to test

\alpha=0.01 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

Part a: State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the true mean is greater than 40000, the system of hypothesis would be:  

Null hypothesis:\mu \leq 40000  

Alternative hypothesis:\mu > 40000  

If we analyze the size for the sample is > 30 but we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Part b: Calculate the statistic

We can replace in formula (1) the info given like this:  

t=\frac{41182-40000}{\frac{19990}{\sqrt{1700}}}=2.438    

Part c: P-value

The first step is calculate the degrees of freedom, on this case:  

df=n-1=1700-1=1699  

Since the sample size is large enough we cna use the z distribution as an approximation for the statsitic on this case.

Since is a one right tailed test the p value would be:  

p_v =P(t_{(1699)}>2.438)=0.0074  

Part d: Conclusion  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis at 1% of signficance.  So we can conclude that the true mean is higher than 40000 at the significance level assumed.

3 0
3 years ago
-4x + 2x + 3x + 8<br> Asap
Talja [164]

Answer:

x + 8

Step-by-step explanation:

1. To simplify this expression, we have to combine like terms.

  • (-4x + 2x + 3x) + (8)
  • (-2x + 3x) + (8)
  • x + 8

Therefore, the answer is x + 8.

4 0
3 years ago
When the author observed a sobriety checkpoint conducted by the Dutchess County Sheriff Department, he saw that 676 drivers were
jek_recluse [69]

Answer:

The probability of drivers who are not intoxicated is P(I¯) and is given as 0.99411.

Step-by-step explanation:

As the event is indicated as I for the drivers who are intoxicated, the value of I¯ is for the drivers who are not intoxicated. Its value is calculated as follows

P(I¯)=1-P(I)

P(I¯)=1-0.00589

P(I¯)=0.99411

So the probability of drivers who are not intoxicated is P(I¯) and is given as 0.99411.

6 0
4 years ago
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