Using software, conduct a one-way analysis of variance (ANOVA) F-F-test at a significance level of a=0.05a=0.05 to determine if the mean weight for Hispanic women of age 36 to 45 for four regions of the country are all equal. You may find software manuals helpful. Sample data collected for Hispanic women of age 36 to 45 is provided by U.S. region in the data file. In the Excel and TI files, each column indicates one of four U.S. regions: Northeast, Midwest, South, and West. In the other data file formats, the region variable is its own column. Click to download the data in your preferred format. The data are not available in TI format due to the size of the dataset. Crunchlt! CSV Excel JMP Mac Text Minitab14-18 Minitab18+ PC Text R SPSS Determine the degrees of freedom for the numerator, dfidf1, and the degrees of freedom for the denominator, df2df2, of the F-F-statistic. dfldf1 = df2df2 = Use software to determine the F-F-statistic based on the provided data. Provide your answer with precision to two decimal places. F-F-statistic = Compute the P-valueP-value of the F-F-statistic using software. Give your answer in decimal form with precision to three decimal places. Avoid rounding for interim calculations. P-valueP-value = If the test requires that the results be statistically significant at a level of a=0.05a=0.05, fill in the blanks and complete the sentences that explain the test decision and conclusion. The decision is to "reject/fail to reject", the null hypothesis because the P-valueP-value is "less than/ greater than" the significance level. There is "insufficient/ sufficient" evidence that all of the "mean/ one or more of the mean" weights for Hispanic women of age 36 to 45 are equal/different. .Data: ex13-001d.xls (live.com)