1. State the null hypothesis and the alternate hypothesis. For Treatment (Stores): Null hypothesis a-Hor u1u2u3 b-HO:U1=u2=u3 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- H0? \"1 = I12 2 H9 b-H03i11 3E I12 i N9 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.) For Stores For Items 6. Complete an ANOVA table. (Round your 55, M5 to 3 decimal places, and Fto 2 decimal places.) 7. What is your decision regarding the null hypothesis? The decision for the Fvalue (Stores) at 0.050 signicance is: Q Do not reject HO O Reject H0 8. The decision for the Fvalue {Items} 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 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 1.37 3 1.21 2.01 1.57 4 1.35 2.46 1.25 5 1.80 3.10 1.87" 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