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Nezavi [6.7K]
3 years ago
13

On your lab bench, you have 2 mystery metal cubes. each cube has a mass of 10.0 grams. cube a has a density of 10 g/cm3. cube b

has a density of 0.37 cm3. what conclusion can be made about the sizes of the two cubes?
a. cube b has atoms that are more closely packed in its volume than cube
a.
b. cube b has a volume that is one-third of the volume of cube
a.
c. each edge of cube b is two times larger than cube
a.
d. each edge of cube b is three times larger than cube
Mathematics
1 answer:
lianna [129]3 years ago
6 0
To compare both, we find the volume of both cubes as follows:

V of cube A = 10 g / 10 g/cm^3 = 1 cm^3

V of cube B = 10 g / 0.37 g/cm^3 = 27 cm^3

I think the correct answer from the choices listed above is option D. Each edge of cube b is three times larger than cube. Hope this helps. Have a nice day.
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The Roman numerals CIX equals to 109.

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2 years ago
A researcher studying stress is interested in the blood pressure measurements of chief executive officers (CEOs) of major corpor
sesenic [268]

Answer:

Null Hypothesis, H_0 : \mu = 136 mm Hg  

Alternate Hypothesis, H_A : \mu\neq 136 mm Hg

In this context type I error is rejecting that the μ is equal to 136 mm Hg when in fact μ is equal to 136 mm Hg.

Step-by-step explanation:

We are given that the mean systolic blood pressure, μ, of CEOs of major corporations is different from 136 mm Hg, which is the value reported in a possibly outdated journal article.

He measures the systolic blood pressures of a random sample of CEOs of major corporations and finds the mean of the sample to be 126 mm Hg and the standard deviation of the sample to be 18 mm Hg.

So, Null Hypothesis, H_0 : \mu = 136 mm Hg     {means that the mean systolic blood pressure, μ, of CEOs of major corporations is 136 mm Hg}

Alternate Hypothesis, H_A : \mu\neq 136 mm Hg      {means that the mean systolic blood pressure, μ, of CEOs of major corporations is 136 mm Hg}

Type I error states that the null hypothesis is rejected when in fact the null hypothesis was true. So, in this context type I error is rejecting that the μ is equal to 136 mm Hg when in fact μ is equal to 136 mm Hg.

Suppose the researcher decides not to reject the null hypothesis. It means the researcher is making a type I error.

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3 years ago
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