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3 years ago

A system consists of two components A and B that operate independently. The system

Mathematics

1 answer:

-BARSIC- [3]3 years ago

4 0

Answer:

0.3

Step-by-step explanation:

When one component fails, so does the other one.

a + b = P

0.1 + 0.2 = 0.3

Your answer would be 0.3 or 30%.

Hope this helps. Have a nice day.

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Help I dunno what this is I need someone to walk me through it and give me the answer.

Dennis_Churaev [7]

Answer:

-5

Step-by-step explanation:

The dot means multiply: so $3 \cdot 2 = 3 \times 2 = 6$

Also: 5² = 5 x 5 = 25

Therefore,

$-6-4(3 \cdot 2)+5^2$

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$\implies -6-(4 \times 6)+25$

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(10 points) Northeast Food Distributor has 1,247 employees. 187 of those employees were sick last week. What percent of Northeas

Marysya12 [62]

Answer:

15%

Step-by-step explanation:

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3 years ago

Please answer!

melisa1 [442]

Answer:

49,200

Step-by-step explanation:

41,000 x 1.2 = 49,200

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What is the mean of the data set? 12, 17, 16, 10, 20, 13, 14, 14, 12, 12, 19, 18 a.14.75 b.15.75 c.13.50 d.14.00 need answer asa

cricket20 [7]

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3 years ago

The government of Preon (a small island nation) was voted in at the last election with 58% of the votes. That was 2 years ago, a

mel-nik [20]

Answer:

a) $z=\frac{0.684 -0.58}{\sqrt{\frac{0.58(1-0.58)}{114}}}=2.250$

b) $p_v =2*P(z>2.250)=0.0244$

If we compare the p value and the significance level given we see that $p_v$ we have enough evidence to reject the null hypothesis at 5% of significance.

Step-by-step explanation:

Data given and notation

n=114 represent the random sample taken

$\hat p=0.684$ estimated proportion of people that their approval rating might have changed

$p_o=0.58$ is the value that we want to test

$\alpha=0.05$ represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

$p_v$ represent the p value (variable of interest)

Hypothesis

We need to conduct a hypothesis in order to test the claim that true proportion of people that their approval rating might have changed is 0.58 or no.:

Null hypothesis: $p=0.58$

Alternative hypothesis: $p \neq 0.58$

Part a

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

Calculate the statistic

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

$z=\frac{0.684 -0.58}{\sqrt{\frac{0.58(1-0.58)}{114}}}=2.250$

Part b: Statistical decision

The significance level provided $\alpha=0.05$ . The next step would be calculate the p value for this test.

Since is a bilateral test the p value would be:

$p_v =2*P(z>2.250)=0.0244$

If we compare the p value and the significance level given we see that $p_v$ we have enough evidence to reject the null hypothesis at 5% of significance.

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3 years ago