The city council for a small town has been receiving complaints from local law enforcement that citizens have been extremely uncooperative when pulled over for minor traffic violations. To remedy the situation, the city council has decided to start an information campaign that expresses the benefits of complying with police during minor traffic stops. To maximize effectiveness and minimize cost, the city council wants to know if they can target the campaign at specifically men or women, or if the campaign should be generalized to both genders. Conduct an independent samples t-test (full hypothesis test) to determine if the council should target their campaign and if so, at which gender.
For this test, use a p-value of .05 to set your critical value and make sure to show all 5 steps of the hypothesis test. As part of your conclusion, apply the results and make a recommendation to the city council about how they should conduct their information campaign.
Is this a one or two tailed test. I believe it is two. Can you have a one tailed independent t test? You are just comparing means are they the same or are they different correct. I am confused as to how I am supposed to know the gender they should target. I have a tobt of -2.32 and a tcv of +or- 2.11. If you need any of the other data please let me know. Obviously if this is a two tail then we reject the null. But I am still hung up on how I would tell which group should be targeted.
Since you have an uneven number of cases and want to use a T-test, you should use the "pooled T-test" of the difference in the two groups, then if it is significant, you should target the group with the higher group average, since they complain more.