Anthony is studying how quickly children tire based on the amount of sugar they ingest. He splits a group of 20 children into 2
groups. One group is given sugar and the other is not. Anthony asks the children to start playing at a playground at the same time, and to stop when they tire, measuring the time each child stops playing. He finds that the children who did not ingest sugar played 2 minutes longer than those who did ingest sugar. Anthony rerandomizes the data, calculates the difference between the means, and creates the dot plot shown below. Based on the data, can Anthony conclude the difference is significant? Yes, Anthony can conclude the difference is significant because a 2-minute difference is not likely to happen by chance.
No, Anthony cannot conclude the difference is significant because a 2-minute difference is likely to happen by chance.
Yes, Anthony can conclude the difference is significant because 0.25 is the difference in means that occurs most often.
No, Anthony cannot conclude the difference is significant because 0.25 is the difference in means that occurs most often
The correct answer is option A. Yes, Anthony can conclude the difference is significant because a 2-minute difference is not likely to happen by chance.
Step-by-step explanation:
Based on the data, Anthony can conclude that the difference is significant because when we are analyzing data and reach to a statistically significant result then nothing or no event happens by chance. Like here, a 2 minute difference is not likely to happen by chance.
