Hi! I was wondering if anyone could finish out these questions for me.

Saeko owns a yarn shop and want to expands her color selection. Before she expands her colors, she wants to find out if her customers prefer one brand over another brand. Specifically, she is interested in three different types of bison yarn. As an experiment, she randomly selected 21 different days and recorded the sales of each brand. At the .10 significance level, can she conclude that there is a difference in preference between the brands? Misa's Bison Yak-et-ty-Yaks Buffalo Yarns 799 776 799 784 40 931 873 822 794 702 812 920 795 673 731 375 893 337 Total 4,828.00 4,616.00 5,012.00 6) What is the null hypothesis? There isn't a significant difference between the means of the three: Misa's Bison, Yak-et-ty-Yaks, and Buffalo Yarn. What is the alternative hypothesis? A significant amount of evidence exists that demonstrates the difference between the three: Misa's Bison, Yak-et-ty-Yaks, and Buffalo Yarn. What is the level of significance? .1 or 10% 7) Use Tools - Data Analysis - ANOVA:Single Factor to find the F statistic: 8) From the ANOVA output: What is the F value? What is the F critical value? 9) What is your decision? Explain in statistical terms