Never= 0.022 probability.
Would you consider it unusual to find a college student who never wears a seat belt when riding in a car driven by someone else?
Yes, I would consider it unusual to find a college student who never wears a seat belt when riding in a car driven by someone else, considering the low probability of 0.022.
To determine if it is unusual to find a college student who never wears a seat belt when riding in a car driven by someone else, we need more information about the overall prevalence of seat belt usage among college students. The probability you provided (0.022) is not enough to assess the level of unusualness.
If you have additional data on the seat belt usage rate among college students, please provide it, and I will be able to help you determine whether this specific behavior is unusual or not.
To determine whether it would be considered unusual to find a college student who never wears a seat belt when riding in a car driven by someone else, we need to compare the given probability to a threshold.
The given probability is 0.022, which represents the probability of a college student not wearing a seat belt when riding in a car driven by someone else. However, to determine the threshold for considering it unusual, we need additional information.
Typically, a probability is considered unusual if it falls below a certain threshold, often determined to be less than 5% (0.05) in statistical analysis. This threshold corresponds to a p-value of 0.05, which indicates that there is a less than 5% chance of observing an event as extreme or more extreme (in this case, a college student never wearing a seat belt) under the null hypothesis.
Therefore, if the given probability of 0.022 is less than 0.05, it would be considered unusual to find a college student who never wears a seat belt when riding in a car driven by someone else. However, if the probability is greater than or equal to 0.05, it would not be considered unusual.
To further clarify, you might need more specific information about the total number of college students or a sample size to calculate a more accurate probability.