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A sample is taken from Airport Data Speeds to test the claim that the population mean is less than 4.00 Mbps.

The null hypothesis $H_0$represents the population greater than or equal to 4. The original claim does not contain equality. So, it becomes an alternative hypothesis $H_1$.

Thus, the test is one-tailed.

Let $渭$be the population mean of the internet speed at the airport.

The null and alternate hypotheses are as follows.

$$\begin{gathered} H_0:渭猢�4 \\ {H}_1:渭<4 \end{gathered}$$

The test statistic and the p-value are represented by the symbols $t$and p, respectively.

State the test statistic and p-value obtained fromthe second row andthe third row of the output, respectively, as follows.

$$\begin{gathered} t=-0.3662917532 \\ 鈮�-0.366 \\ p=0.3578621222 \\ 鈮�0.3579 \end{gathered}$$

If the p-value is less than the significance level, the null hypothesis is rejected; otherwise, it is failed to be rejected.

Assume that the significance level is 0.05. The p-value is greater than the significance level.

Thus, the null hypothesis is failed to be rejected at a 0.05 significance level.

Thus, it can be concluded that there is not sufficient evidence to support the claim that the mean data speeds for the population are lesser than 4 Mbps, at a 0.05 level of significance.