PSYC 210 Final Exam Questions with CORRECT Answers (Grade A+)
Question 1:
Another weakness of oneway ANOVA is that it:
Answer:
Doesn't tell us which means differ
Question 2:
As your observed F gets larger, what is more likely to happen?
Answer:
differences between groups is more pronounced than within
Question 3:
Broadly speaking, r- squared can be interpreted as:
Answer:
proportion of variance accounted for by your predictors
Question 4:
A chi-square contingency table tells us:
Answer:
If cell frequencies depend on another variable
Question 5:
Chi-square is a non- parametric statistic. What does it tell us?
Answer:
if frequencies differ from what we expect to find
Question 6:
Conducting a oneway ANOVA with only two groups is actually the same as conducting a:
A. Z test
B. t test
, C. multiple regression
D. chi-square
Answer:
B. t test
Question 7:
A correlation coefficient of -1.0 indicates
A. a perfect negative relationship between the two variables.
B. a perfect positive relationship between the two variables.
C. no relationship between the two variables.
D. nothing
Answer:
A. a perfect negative relationship between the two variables.
Question 8:
A correlation coefficient of -1.32 tells us
A. there is a very strong negative relationship between x and y.
B. there is a very strong positive relationship between x and y.
C. the relationship between x and y is not linear.
D. we have calculated the correlation coefficient incorrectly.
Answer:
D. we have calculated the correlation coefficient incorrectly.
Question 9:
effect size and test
Answer:
t--cohen's d factorial ANOVA--eta or omega regression-- r^2/R^2adjusted chi squared-- cramer's v
Question 10:
Factorial ANOVA divides variance into between and within group variance. What else does it do?
Question 1:
Another weakness of oneway ANOVA is that it:
Answer:
Doesn't tell us which means differ
Question 2:
As your observed F gets larger, what is more likely to happen?
Answer:
differences between groups is more pronounced than within
Question 3:
Broadly speaking, r- squared can be interpreted as:
Answer:
proportion of variance accounted for by your predictors
Question 4:
A chi-square contingency table tells us:
Answer:
If cell frequencies depend on another variable
Question 5:
Chi-square is a non- parametric statistic. What does it tell us?
Answer:
if frequencies differ from what we expect to find
Question 6:
Conducting a oneway ANOVA with only two groups is actually the same as conducting a:
A. Z test
B. t test
, C. multiple regression
D. chi-square
Answer:
B. t test
Question 7:
A correlation coefficient of -1.0 indicates
A. a perfect negative relationship between the two variables.
B. a perfect positive relationship between the two variables.
C. no relationship between the two variables.
D. nothing
Answer:
A. a perfect negative relationship between the two variables.
Question 8:
A correlation coefficient of -1.32 tells us
A. there is a very strong negative relationship between x and y.
B. there is a very strong positive relationship between x and y.
C. the relationship between x and y is not linear.
D. we have calculated the correlation coefficient incorrectly.
Answer:
D. we have calculated the correlation coefficient incorrectly.
Question 9:
effect size and test
Answer:
t--cohen's d factorial ANOVA--eta or omega regression-- r^2/R^2adjusted chi squared-- cramer's v
Question 10:
Factorial ANOVA divides variance into between and within group variance. What else does it do?
