Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses?

A. $ H_0: \mu = 5.00 \text{ Mbps} $
$ H_1: \mu \neq 5.00 \text{ Mbps} $

B. $ H_0: \mu < 5.00 \text{ Mbps} $
$ H_1: \mu = 5.00 \text{ Mbps} $

C. $ H_0: \mu = 5.00 \text{ Mbps} $
$ H_1: \mu < 5.00 \text{ Mbps} $

D. $ H_0: \mu = 5.00 \text{ Mbps} $
$ H_1: \mu > 5.00 \text{ Mbps} $

Identify the test statistic.

Identify the P-value.

State the final conclusion that addresses the original claim.

There is evidence to support the claim that the sample is from a population with a mean less than 5.00 Mbps.

The null hypothesis (H0) states that the population mean (μ) is equal to 5.00Mbps, while the alternative hypothesis (H1) states that the population mean is less than 5.00Mbps. This indicates that we are testing whether there is evidence to support the claim that the sample comes from a population with a mean less than 5.00Mbps.

To determine the test statistic and p-value, we need more information such as the sample size, sample mean, and standard deviation, as well as the chosen significance level (alpha). The test statistic is typically calculated based on the sample data and the hypothesized population parameters. The p-value is a measure of the strength of evidence against the null hypothesis.

Without this additional information, it is not possible to calculate the test statistic or p-value or draw a final conclusion regarding the original claim.

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