Question

Irin was conducting some tests to determine if there was a relationship between consumption of diet soda and weight loss. Her null hypothesis was that diet soda does not play any role in weight loss, and her alternate hypothesis was that diet soda causes an increase in weight.

If Irin completed her study, which of the following statements would indicate a Type I error?

• Testing indicates that diet soda consumption and weight gain are related, but not in the way Irin originally thought.

• Testing indicates that diet soda causes weight gain when in reality there is no relationship between the two.

• Testing indicates that a subject's weight affects his/her diet soda consumption, not the other way around.

• Testing indicates that diet soda and weight are related, while in reality there is no relationship between diet soda consumption and weight gain.

Which probability value indicates that there is statistical significance?

• 0.2351

• 0.0035

• 0.9936

• 0.7952

Answer 1

1) since type I error is to reject null when it is true: correct option is:

Testing indicates that diet soda causes weight gain when in reality there is no relationship between the two.

2)

0.0035   (since the p value is the least)