A market researcher for a local grocery store is interested in determining whether women are more likely than men to buy the chocolate milk brand Caocow. (If so, the researcher would recommend that advertising for Caocow be geared more toward women.) To investigate, the researcher selects a sample of 175 females and a sample of 175 males from the store's customer database. The selected customers' monthly 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 Caocow is compared between the two groups. (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. O Observational study O prospective O retrospective O Designed experiment O double-blind O completely randomized (b) Which one of the following best describes the explanatory (independent) and response (dependent) variables? O The explanatory variable is the brand of chocolate milk and the response variable is the percentage of shoppers who have purchased Caocow. O The explanatory variable is the percentage of shoppers who have purchased Caocow and the response variable is gender. O The explanatory variable is gender and the response variable is the percentage of shoppers who have purchased Caocow. O The explanatory variable is gender and the response variable is the brand of chocolate milk. (c) Suppose there is a significant difference between the percentage of female shoppers who purchased Caocow and the percentage of male shoppers who purchased Caocow. Would the researcher be well-justified in claiming that the difference in percentage was caused by the shopper's gender? Choose the best answer below. O 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. O No. The researcher has only found evidence to support a claim that a shopper's gender is associated with the decision to purchase Caocow. X S

A market researcher for a local grocery store is interested in determining whether women are more likely than men to buy the chocolate milk brand Caocow. (If so, the researcher would recommend that advertising for Caocow be geared more toward women.) To investigate, the researcher selects a sample of 175 females and a sample of 175 males from the store's customer database. The selected customers' monthly 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 Caocow is compared between the two groups. (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. O Observational study O prospective O retrospective O Designed experiment O double-blind O completely randomized (b) Which one of the following best describes the explanatory (independent) and response (dependent) variables? O The explanatory variable is the brand of chocolate milk and the response variable is the percentage of shoppers who have purchased Caocow. O The explanatory variable is the percentage of shoppers who have purchased Caocow and the response variable is gender. O The explanatory variable is gender and the response variable is the percentage of shoppers who have purchased Caocow. O The explanatory variable is gender and the response variable is the brand of chocolate milk. (c) Suppose there is a significant difference between the percentage of female shoppers who purchased Caocow and the percentage of male shoppers who purchased Caocow. Would the researcher be well-justified in claiming that the difference in percentage was caused by the shopper's gender? Choose the best answer below. O 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. O No. The researcher has only found evidence to support a claim that a shopper's gender is associated with the decision to purchase Caocow. X S

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

(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.

(b)Which one of the following best describes the explanatory (independent) and response (dependent) variables?

(c)Suppose there is a significant difference between the percentage of female shoppers who purchased Caocow and the percentage of male shoppers who purchased Caocow. Would the researcher be well-justified in claiming that the difference in percentage was caused by the shopper's gender? Choose the best answer below.

Transcribed Image Text:A market researcher for a local grocery store is interested in determining whether women are more likely than men to buy the chocolate milk brand Caocow. (If so, the researcher would recommend that advertising for Caocow be geared more toward women.) To investigate, the researcher selects a sample of 175 females and a sample of 175 males from the store's customer database. The selected customers' monthly 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 Caocow is compared between the two groups. (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. O Observational study O prospective O retrospective O Designed experiment O double-blind O completely randomized (b) Which one of the following best describes the explanatory (independent) and response (dependent) variables? O The explanatory variable is the brand of chocolate milk and the response variable is the percentage of shoppers who have purchased Caocow. O The explanatory variable is the percentage of shoppers who have purchased Caocow and the response variable is gender. O The explanatory variable is gender and the response variable is the percentage of shoppers who have purchased Caocow. O The explanatory variable is gender and the response variable is the brand of chocolate milk. (c) Suppose there is a significant difference between the percentage of female shoppers who purchased Caocow and the percentage of male shoppers who purchased Caocow. Would the researcher be well-justified in claiming that the difference in percentage was caused by the shopper's gender? Choose the best answer below. O 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. O No. The researcher has only found evidence to support a claim that a shopper's gender is associated with the decision to purchase Caocow. O No. There is no procedure, however well-designed, that can give evidence to support a claim of a cause-and-effect relationship. X S

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