Afood truck operator has traditionally sold 75 bowls of noodle soup each day. he moves to a new location and after a week sees that he has averaged 85 bowls of noodle soup sales each day. he runs a one-sided hypothesis test to determine if his daily sales at the new location have increased. the p-value of the test is 0.031. how should he interpret the p-value?
a) there is a 3.1% chance that the true mean of soup sales at the new location is 85 bowls a day.
b) there is a 96.9% chance that the true mean of soup sales at the new location is greater than 75 bowls a day.
c) there is a 96.9% chance that the sample mean of soup sales at the new location is 85 bowls a day.
d) there is a 3.1% chance of obtaining a sample with a mean of 85 or higher assuming that the true mean sales at the new location is still equal to or less than 75 bowls a day.
e) there is a 96.9% chance that the true mean of soup sales at the new location is within 3.1 bowls of 85 bowls a day.+9