Help with the statement! Is the average time we shower the same? Two hundred and fifty randomly selected citizens from Brazil, United States, and Germany were asked to report the length of time (minutes) they spend in the shower. Use a 0.10 significance level and the StatCrunch output to determine if the mean time for a shower is the same for these three countries.**StatCrunch Output:**- **Column statistics** - **U.S.** - n = 250 - Mean = 9.84948 - Std. Dev. = 1.228919 - Std. Error = 0.077723662 - **German** - n = 250 - Mean = 9.58676 - Std. Dev. = 1.282753 - Std. Error = 0.081136157 - **Brazil** - n = 250 - Mean = 10.03888 - Std. Dev. = 1.247691 - Std. Error = 0.078910787- **ANOVA table** - **Source**: - **DF**: - Columns = 2 - Error = 747 - Total = 749 - **SS**: - Columns = 25.775554 - Error = 1173.472 - Total = 1199.2475 - **MS**: - Columns = 12.887777 - Error = 1.571091 - **F-Stat = 8.2040045** - **P-value = 0.0003**In the space provided below state your decision: Reject \( H_0 \) or Retain \( H_0 \).Also, write a summary statement for the hypothesis test. Be sure to use the context.

Given claim:Test whether the mean time for a shower is same for three countries.Null Hypothesis:H0: The mean time for a shower is same for three countries.Alternative Hypothesis:H1: The mean time for a shower is not same for three countries.That is, at least two countries have different mean shower times.From the output,Decision Rule: If P-value ≤ α, then reject the null hypothesis. Conclusion: Here, the P-value is less than the level of significance.From the decision rule, reject the null hypothesis.At least two countries have different mean shower times.Decision: Reject H0Conclusion: At least two countries have different mean shower times.