Respuesta :
Answer: The fifth option is the most correct option. We are 95% confident that the average difference in sales quantity for all stores is positive, with the higher sales coming after the ad campaign.
Step-by-step explanation: since they is 95% confidence interval to estimate the true average difference in nationwide sales quantity before the ad campaign and after is (2.16, 23.32). That's mean they will be a positive result for the difference.
The average difference before the ad campaign is 2.16, while the average difference after the ad campaign so 23.32.
Therefore the difference between after and before the ad campaign will be
23.32 - 2.16 = 21.16
It gave a positive result, because more sales came after the ad campaign.
Answer:
The appropriate conclusion is Option 5.
5) We are 95% confident that the average difference in sales quantity for all stores is positive, with the higher sales coming after the ad campaign.
Step-by-step explanation:
Analysing the result of Confidence Interval of 95% with the statement in quote,
"The 95% confidence interval to estimate the true average difference in nationwide sales quantity before the ad campaign and after is (2.16, 23.32)", It can be seec that difference the values of the interval(23.32 - 2.16) is positive and the higher part is after the ad compaign (That is, 23.23)
