Imagine we wanted to compare a group of married couples with a group of non-married couples on levels of relationship satisfaction. after collecting our data, we find that the mean age of our married group (m = 30) was significantly different from the mean age of our non-married group (m = 23). what should we do?

Conduct a second survey

Explanation:

Mean age is the average age in a particular group of people. It is used in statistics to compare a group of people with another one.

The purpose of the mentioned survey was to compare the level of relationship satisfaction between married and non-married couples. For the survey to be valid, the average (mean) age in these two groups should be the same. People behave differently at different stages in their lives, some may be satisfied with their relationship at 23 and dissatisfied at 30. The age gap between the two groups here is to great to reach any plausible conclusions. You should conduct a second survey with the same or similar age groups.

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the answer to your question is,

old stone age.

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