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Fynjy0 [20]
2 years ago
11

Points (-5,-3) (-2,-2) (-4,-6) reflected over y=-x-1

Mathematics
1 answer:
Mars2501 [29]2 years ago
8 0

Answer:

frfrfr

Step-by-step explanation:

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3 2/3+ 8 7/12<br><br> I need the work
castortr0y [4]

Answer:

\frac{49}{4}

Step-by-step explanation:

Convert each to a improper fraction

3 \frac{2}{3} = \frac{11}{3}

8\frac{7}{12} = \frac{103}{12}

\frac{11}{3} +\frac{103}{12} = \frac{49}{4}

4 0
2 years ago
Read 2 more answers
WORTH 50! WILL AWARD BRAINLIEST! PLEASE SHOW STEPS! THANK YOU!
yanalaym [24]

Answer:

x = 45

Step-by-step explanation:

Re-order terms so constants are on the left
15 * x/9 - 42 =28

Combine multiplied terms into a single fraction
15x/9 - 42 = 28

Cancel terms that are in both the numerator and denominator
5x/3 - 42 = 28


4 0
2 years ago
I NEED HELP ASAP please please hurry up!!
prohojiy [21]

Answer:

first one is 0.02   the second is 8

Step-by-step explanation:

4 0
2 years ago
If you answer I’ll make you the brainiest
Dovator [93]

Answer:

the second one

Step-by-step explanation:

if it is right pls mark brainliest thanks :)

5 0
2 years ago
An automobile manufacturer has given its van a 31.3 miles/gallon (MPG) rating. An independent testing firm has been contracted t
Fynjy0 [20]

Answer:

z=\frac{31.1-31.3}{\frac{1.3}{\sqrt{140}}}=-1.82  

The p value for this case would be given by:

p_v =2*P(z  

For this case since the p value is higher than the significance level we have enough evidence to FAIL to reject the null hypothesis and we can conclude that the true mean is not significantly different from 31.3 MPG

Step-by-step explanation:

Information given

\bar X=31.1 represent the sample mean  

\sigma=1.3 represent the population standard deviation

n=140 sample size  

\mu_o =31.3 represent the value that we want to test  

\alpha=0.02 represent the significance level for the hypothesis test.  

z would represent the statistic

p_v represent the p value

Hypothesis to test

We want to test if the true mean is equal to 31.3 MPG, the system of hypothesis would be:  

Null hypothesis:\mu =31.3  

Alternative hypothesis:\mu \neq 31.3  

Since we know the population deviation, the statistic is given by

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}} (1)  

Replacing we got:

z=\frac{31.1-31.3}{\frac{1.3}{\sqrt{140}}}=-1.82  

The p value for this case would be given by:

p_v =2*P(z  

For this case since the p value is higher than the significance level we have enough evidence to FAIL to reject the null hypothesis and we can conclude that the true mean is not significantly different from 31.3 MPG

4 0
3 years ago
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