a market researcher for a local grocery store...
a market researcher for a local grocery store is interested in determining whether women are more likely than men to buy the smoothie brand fruiti - blend. (if so, the researcher would recommend that advertising for fruiti - blend be geared more toward women.) to investigate, the researcher selects a sample of 175 females and a sample of 175 males from the stores customer database. the selected customers shopping trends are digitally monitored by the researcher through the use of a customer loyalty card. after six months, the percentage of shoppers who have purchased fruiti - blend is compared between the two groups.\n(a) first choose whether the procedure described above is an observational study or a designed experiment. then further categorize the procedure by choosing the correct type of observational study or designed experiment.\n - observational study\n - prospective\n - retrospective\n - designed experiment\n - double - blind\n - completely randomized\n(b) which one of the following best describes the explanatory (independent) and response (dependent) variables?\n - the explanatory variable is the brand of smoothie drink and the response variable is the percentage of shoppers who have purchased fruiti - blend.\n - the explanatory variable is the percentage of shoppers who have purchased fruiti - blend and the response variable is gender.\n - the explanatory variable is gender and the response variable is the percentage of shoppers who have purchased fruiti - blend.\n - the explanatory variable is gender and the response variable is the brand of smoothie drink.\n(c) suppose there is a significant difference between the percentage of female shoppers who purchased fruiti - blend and the percentage of male shoppers who purchased fruiti - blend. would the researcher be well - justified in claiming that the difference in percentage was caused by the shoppers gender? choose the best answer below.\n - yes. because the procedure used data gathered over an extended period of time (six months), the data set will be large. so, claiming a cause - and - effect relationship is well - justified.\n - no. the researcher has only found evidence to support a claim that a shoppers gender is associated with the decision to purchase fruiti - blend.\n - no. there is no procedure, however well - designed, that can give evidence to support a claim of a cause - and - effect relationship.