Use the following information for questions:
A researcher conducted a study on college students to see if there was a link between gender and how often they have cheated on an exam. She asked two questions on a survey:
(1) What is your gender? Male ___ Female ___
(2) How many times have you cheated on an exam while in college?
Never __ 1 or 2 times ___ 3 or more times ___
A two-way table of observed counts follows:
Chi-Square = 5.33, DF = 2, P-Value = 0.0696
-Based on the chi-square statistic and p-value, what conclusion can be made about the relationship between gender and response to the question about cheating, using $\alpha$= 0.05?
A) The result is not statistically significant so there does not appear to be a relationship.
B) The result is not statistically significant so there does appear to be a relationship.
C) The result is statistically significant so there does not appear to be relationship.
D) The result is statistically significant so there does appear to be a relationship.

Question

Use the following information for questions:
A researcher conducted a study on college students to see if there was a link between gender and how often they have cheated on an exam. She asked two questions on a survey:
(1) What is your gender? Male ___ Female ___
(2) How many times have you cheated on an exam while in college?
Never __ 1 or 2 times ___ 3 or more times ___
A two-way table of observed counts follows: 
  Chi-Square = 5.33, DF = 2, P-Value = 0.0696
-Based on the chi-square statistic and p-value, what conclusion can be made about the relationship between gender and response to the question about cheating, using $\alpha$= 0.05?
A) The result is not statistically significant so there does not appear to be a relationship. 
B) The result is not statistically significant so there does appear to be a relationship. 
C) The result is statistically significant so there does not appear to be relationship. 
D) The result is statistically significant so there does appear to be a relationship.

Quizplus · Accepted Answer

The chi-square statistic and p-value are used to determine if there is a statistically significant relationship between variables. If the result is not statistically significant (p-value > α), it suggests that any observed association might be due to chance, indicating no apparent relationship between the variables at the chosen level of significance (α = 0.05 in this case).

Use the Following Information for Questions: a Researcher Conducted a Study

Use the Following Information for Questions:
a Researcher Conducted a Study