Potential buyers for a new car were randomly divided into two groups. One group was shown the "A" version of an ad for the car, while the other group was shown the "B" version of the ad. All were then tested on their recall of key points made in the ad. The researcher should run a hypothesis test based upon a comparison of means for independent samples equal variances X. In another study, a healthcare insurance company took measures of subscribers' cardiac (heart) health. The people were then provided an app for their phones which provided "nudges" and reminders about heart-healthy behaviors, such as eating more vegetables and less fried or fatty food, taking walks and breaks from sitting too long, and getting enough sleep. After 4 months of having the app, the cardiac health measures were taken again, with the objective of seeing if nudges from the app would result in decreased cardiac risk. The researcher should run a hypothesis test based on a comparison of means for paired samples equal variances X. paired samples unequal variances independent samples unequal variances

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Potential buyers for a new car were randomly divided into two groups. One group was shown the "A" version of an ad for the car, while the
other group was shown the "B" version of the ad. All were then tested on their recall of key points made in the ad. The researcher should
run a hypothesis test based upon a comparison of means for
independent samples equal variances
X.
In another study, a healthcare insurance company took measures of subscribers' cardiac (heart) health. The people were then provided an
app for their phones which provided "nudges" and reminders about heart-healthy behaviors, such as eating more vegetables and less fried
or fatty food, taking walks and breaks from sitting too long, and getting enough sleep. After 4 months of having the app, the cardiac health
measures were taken again, with the objective of seeing if nudges from the app would result in decreased cardiac risk. The researcher
should run a hypothesis test based on a comparison of means for
paired samples equal variances
X.
paired samples unequal variances
independent samples unequal variances
Transcribed Image Text:Potential buyers for a new car were randomly divided into two groups. One group was shown the "A" version of an ad for the car, while the other group was shown the "B" version of the ad. All were then tested on their recall of key points made in the ad. The researcher should run a hypothesis test based upon a comparison of means for independent samples equal variances X. In another study, a healthcare insurance company took measures of subscribers' cardiac (heart) health. The people were then provided an app for their phones which provided "nudges" and reminders about heart-healthy behaviors, such as eating more vegetables and less fried or fatty food, taking walks and breaks from sitting too long, and getting enough sleep. After 4 months of having the app, the cardiac health measures were taken again, with the objective of seeing if nudges from the app would result in decreased cardiac risk. The researcher should run a hypothesis test based on a comparison of means for paired samples equal variances X. paired samples unequal variances independent samples unequal variances
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