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VLD [36.1K]
3 years ago
10

Jason correctly graphed an inequality as shown below

Mathematics
1 answer:
sattari [20]3 years ago
8 0
4 < = x + 4 < = 8.....subtract 4 from all sections
4 - 4 < = x + 4 - 4 < = 8 - 4...simplify
0 < = x < = 4

this would produce a number line with a solid circle on 0 and a solid circle on 4, with shading in between....just like the graph shown in the picture u posted.

so the expression u would add would be : x + 4


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a marble was randomly selected from a bad containing 3 red marbles , 3 blue marbes and 3 green marbles . what is the probability
galina1969 [7]

Answer:

\frac{1}{3}

Step-by-step explanation:

If there are 9 marbles in total and the desired outcome is to pick a green marble then the probability is \frac{desired outcome}{totaloutcomes} = \frac{3}{9} which simplifies down to a third.

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3 years ago
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If 40 is decreased by 80%, what is the new amount?
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Answer:

The new amount is 8.

Step-by-step explanation:

80% of 40 is 32, so subtract 32 from 40 to get 8.

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The sum of thrice a number and 5 is 17.
Gnoma [55]

Answer:

The number is 4

Step-by-step explanation:

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3 years ago
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Consider a drug testing company that provides a test for marijuana usage. Among 310 tested​ subjects, results from 28 subjects w
Naily [24]

Answer:

z=\frac{0.0903 -0.1}{\sqrt{\frac{0.1(1-0.1)}{310}}}=-0.569  

The p value for this case can be calculated with this probability:

p_v =P(z  

Since the p value is higher than significance level we don't have enough evidence to conclude that the true proportion is significantly less than 0.1

Step-by-step explanation:

Information given

n=310 represent th sample selected

X=28 represent the subjects wrong

\hat p=\frac{28}{310}=0.0903 estimated proportion of subjects wrong

p_o=0.1 is the value to verify

\alpha=0.05 represent the significance level

t would represent the statistic

p_v represent the p value

System of hypothesis

We want to test the claim that less than 10 percent of the test results are wrong ,and the hypothesis are:  

Null hypothesis:p\geq 0.1  

Alternative hypothesis:p < 0.1  

The statistic is given by:

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

Replacing the info we got:

z=\frac{0.0903 -0.1}{\sqrt{\frac{0.1(1-0.1)}{310}}}=-0.569  

The p value for this case can be calculated with this probability:

p_v =P(z  

Since the p value is higher than significance level we don't have enough evidence to conclude that the true proportion is significantly less than 0.1

5 0
3 years ago
Please help as soon as possible
Rzqust [24]

Answer:

The last one doesn't satisfy! for example if y=2 and x=1 then 2<0 false.

Step-by-step explanation:


4 0
2 years ago
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