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Nata [24]
3 years ago
12

Rewrite the radical expression as an expression with a rational exponent. the seventh root of x to the third power

Mathematics
2 answers:
kap26 [50]3 years ago
5 0

Answer:

yes, x to the 3/7th power is correct

Step-by-step explanation:

i just took the test today

kherson [118]3 years ago
4 0

The expression with a rational exponent of the seventh root of x to the third power is x to the three sevenths power ⇒ answer A

Step-by-step explanation:

Let us explain how to change the radical expression as an expression

with a rational exponent

1. Find the number of the root and make it the denominator of the

  fraction exponent

2. Find the power of the term under the radical and make it the

   numerator of the fraction exponent

Examples:

\sqrt{x^{n}}=x^{\frac{n}{2}}

\sqrt[3]{x^{n}}=x^{\frac{n}{3}}

\sqrt[5]{x^{n}}=x^{\frac{n}{5}}

So \sqrt[m]{x^{n}}=x^{\frac{n}{m}}

∵ the radical expression is the seventh root of x to the third power

∵ seventh root = \sqrt[7]{}

∵ x to the third power = x³

∴ seventh root of x to the third power = \sqrt[7]{x^{3}}

Let us change it to the rational exponent

∵ \sqrt[m]{x^{n}}=x^{\frac{n}{m}}

∵ \sqrt[7]{x^{3}}

∴ m = 7 and n = 3

∴ \sqrt[7]{x^{3}} = x^{\frac{3}{7}}

∵ x^{\frac{3}{7}} is x to the three sevenths power

∴ \sqrt[7]{x^{3}} is x to the three sevenths power

The expression with a rational exponent of the seventh root of x to the third power is x to the three sevenths power

Learn more:

You can learn more about radical equation is brainly.com/question/7153188

#LearnwithBrainly

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Answer:

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Step-by-step explanation:

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Answer:

We conclude that the mean weight of coffee in its containers is at least 32 ounces which means that the data support the claim.

Step-by-step explanation:

We are given that a coffee packaging plant claims that the mean weight of coffee in its containers is at least 32 ounces.

A random sample of 15 containers were weighed and the mean weight was 31.8 ounces with a sample standard deviation of 0.48 ounces.

Let \mu = <u><em>mean weight of coffee in its containers.</em></u>

SO, Null Hypothesis, H_0 : \mu \geq 32 ounces     {means that the mean weight of coffee in its containers is at least 32 ounces}

Alternate Hypothesis, H_A : \mu < 32 ounces      {means that the mean weight of coffee in its containers is less than 32 ounces}

The test statistics that would be used here <u>One-sample t-test statistics</u> as we don't know about population standard deviation;

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where, \bar X = sample mean weight = 31.8 ounces

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So, <u><em>the test statistics</em></u>  =  \frac{31.8 -32}{\frac{0.48}{\sqrt{15} } }  ~ t_1_4  

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The value of t test statistics is -1.614.

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Answer:

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Step-by-step explanation:

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Answer:

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