1.When ordering a wrapped bouquet, customers have the option to select between brightly colored paper or pastel colored paper to wrap the flowers in. The florist would like to assess if a majority of customers prefer the brightly colored paper over the pastel-colored paper.

2.The florist is trying to select a new supplier to purchase her flowers from and has narrowed it down to two options. For a random selection of flower types (i.e. tulips, roses, etc.), the florist records the price for each type of flower from the suppliers. The florist would like to determine if there is a difference in price per flower, on average, between the two suppliers.

3.Around prom, the sales of boutonnieres and corsages increase considerably. The florist provides three color options when purchasing a boutonniere or corsage: white, pink, or red. The florist would like to determine if the distribution of color preference is the same between the population of boutonnieres purchases and the population of corsage purchases.

4.As flowers age, their appearance changes. The florist selects a random sample of flowers and records at the time of sale the age (in days) since blooming and the sales price (in dollars) for the flower. The florist would like to determine if there is a relationship between the age of the flower and its sales price for all flowers.

5.The florist would like to determine if there is a difference in the average order cost for three popular flower-buying holidays: Valentine's Day, Mother's Day, and Sweetest Day. The florist records the order costs for a random sample of Valentine's Day orders, a random sample of Mother's Day orders, and a random sample of Sweetest Day orders.

Select the best fitting test for each scenario above

One Proportion

Two Proportions (Independent)

One Mean

Mean of Differences (Paired)

Differences in Two Means (Independent)

ANOVA

Regression

Chi-Square Goodness of Fit Test

Chi-Square Test of Homogeneity

Chi-Square Test of Independence