Each of three supermarket chains in the Denver area claims to have the lowest overall prices. As part of an investigative study on supermarket advertising. a local television station conducted a study by randomly selecting nine grocery items. Then, on the same day, an intern was sent to each ofthe three stores to purchase the nine items. From the receipts, the following data were recorded. At the 0.050 signicance level, is there a difference in the mean price for the nine items between the three supermarkets? Item Super's Ralph's Lowblaw's 1 $1.02 $1.32 $2.46 2 1.23 1.29 1.3? 3 1.21 2.01 1.57 4 1.35 2.46 1.25 5 1.80 3.10 1.8? 6 3.05 3.52 3.08 7 4.15 3.90 4.21 8 4.28 2.85 3.54 9 5.1? 4.36 3.75 1. State the null hypothesis and the alternate hypothesis. For Treatment (Stores): Null hypothesis a-Hormiuziua b-Horu1=u2=ua 2. Alternate hypothesis 0 H1: There is no difference in the store means. H1: There is a difference in the store means. 3. For blocks (items): 3- H03 \"1:112 =... N9 b- H03 \"1 i I12 3t \"s 4. Alternate hypothesis 0 H1: There is no difference in the item means. 0 H1: There is a difference in the item means. 5. What is the decision rule for both? (Round your answers to 2 decimal places.) 6. Complete an ANOVA table. (Round your 55, M5 to 3 decimal places, and Fla 2 decimal places.) 7. What is your decision regarding the null hypothesis? The decision for the Fvalue (Stores) at 0.050 signicance is: 0 Do not reject HO O Reject H0 8. The decision for the Fvalue ([tems} at 0.050 significance is: 0 Do not reject HO O Reject H0 9. is there a difference in the item means and in the store means? a difference a difference no difference