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IrinaVladis [17]
2 years ago
5

The volume of an object that is 23 ft wide, 10 ft deep, and 8 ft height is:

Mathematics
2 answers:
goldenfox [79]2 years ago
8 0

Answer:

1840 ft³

Step-by-step explanation:

For this question, an assumption should be made about the shape of the object. The safest assumption is that the object is a rectangular prism. The formula for the volume of a rectangular prism is as follows:

V=width*height*depth\\

Substituting in the given values:

V = 23*8*10\\V=1840ft^{3}

monitta2 years ago
6 0
The answer is 1840 because you have to do 10x8 then multiply that by 23 and get 1840
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myrzilka [38]

Answer:

1 . Closure

2. Distributive

3. Closure

Step-by-step explanation:

Here, we want to know the type of property exhibited or displayed by each of the equations in the question.

Equation 1 displays the closure property.

What this means that if we make an addition operation either way, we would get same answer. So we say that addition is closed for that equation.

Equation 3 exhibits closure property as well. If we go either way on the addition operation for that equation, we are bound to get the same answer.

Equation 2 exhibits the distributive property.

Each term in the bracket is multiplied by the subtraction symbol before we proceeded to complete the arithmetic operations

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g Steel used for water pipelines is often coated on the inside with cement mortar to prevent corrosion. In a study of the mortar
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Answer:

P(X

And we can find this probability using the z table and we got:

P(z

Step-by-step explanation:

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X \sim N(0.635,0.082)  

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We are interested on this probability

P(X

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If we apply this formula to our probability we got this:

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2 years ago
Read 2 more answers
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Leviafan [203]

Answer:

z=\frac{(7.6-8.1)-0}{\sqrt{\frac{2.3^2}{40}+\frac{2.9^2}{55}}}}=-0.936  

The p value can be founded with this formula:

p_v =P(z  

Since the p value is higher than the significance level provided of 0.05 we have enough evidence to FAIL to reject the null hypothesis and we can't conclude that the true mean for the Gibbs brand is significantly lower than the true mean for the competitor

Step-by-step explanation:

Information given

\bar X_{1}=7.6 represent the mean for Gibbs products

\bar X_{2}=8.1 represent the mean for the competitor

\sigma_{1}=2.3 represent the population standard deviation for Gibbs

\sigma_{2}=2.9 represent the sample standard deviation for the competitor

n_{1}=40 sample size for the group Gibbs

n_{2}=55 sample size for the group competitor

\alpha=0.05 Significance level provided

z would represent the statistic

Hypothesis to verify

We want to check if babies using the Gibbs brand gained less weight, the system of hypothesis would be:  

Null hypothesis:\mu_{1}-\mu_{2}=0  

Alternative hypothesis:\mu_{1} - \mu_{2}< 0  

The statistic would be given by:

z=\frac{(\bar X_{1}-\bar X_{2})-\Delta}{\sqrt{\frac{\sigma^2_{1}}{n_{1}}+\frac{\sigma^2_{2}}{n_{2}}}} (1)  

Replacing the info given we got:

z=\frac{(7.6-8.1)-0}{\sqrt{\frac{2.3^2}{40}+\frac{2.9^2}{55}}}}=-0.936  

The p value can be founded with this formula:

p_v =P(z  

Since the p value is higher than the significance level provided of 0.05 we have enough evidence to FAIL to reject the null hypothesis and we can't conclude that the true mean for the Gibbs brand is significantly lower than the true mean for the competitor

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