Multiple Choice
Should a researcher ever use chi-square to examine the relationship between two variables that are interval level and normally distributed?
A) Yes, since chi-square can be computed with any level of data.
B) Yes, since it can produce a significant saving in data analysis time.
C) Yes, since it is more powerful than tests designed for use with higher levels of level.
D) No, because it wastes the available precision of measurement, and can result in a Type II error.
Correct Answer:

Verified
Correct Answer:
Verified
Q1: When using chi-square, statistically significant but very
Q2: When the effect of a control variable
Q3: Chi-square is a test for between variables.<br>A)
Q4: Chi-square determines if there is support for
Q5: A dummy table uses asterisks to indicate
Q7: In chi-square analysis, the numbers that best
Q8: When conducting chi-square analysis, it is possible
Q9: In reporting the results of chi-square analysis,
Q10: The Yates correction factor for continuity is
Q11: How many degrees of freedom are there