# 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

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 ?
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?
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Types of independent two sample tests:
Independent two sample test with equal variances.
Independent two sample test with unequal variances.
From the given information, the buyers are divided into two groups. One group shows “A” version of an ad for the car and another group shows “B” version of an ad for the car. That is, the two groups are independent. Hence, both independent samples test with equal variances and independent samples test with unequal variances are used for comparing the means.