STAT 211 MOCK EXAM QUESTIONS AND
100% CORRECT ANSWERS!!
#37) A researcher measures the correlation between self-esteem (high, low) and physical
fitness scores among school athletes. In the study, 12 participants reported high self-esteem,
and 12 reported low. If S(r) = 9.06 and M(y1)-M(y2) = 11, then what is the value of the
correlation coefficient?
0.61
0.30
0.39
not enough info
0.61
(#41) A researcher measures the correlation between the frequency of self-esteem (high,
low) and health status (lean/healthy, overweight/obese). Based on the frequencies for each
nominal category given below, what is the value of the phi correlation coefficient?
0.08
0.28
0.52
0.56
0.28
(#42) A researcher computes the following phi correlation coefficient r (phi) = 0.42. If the
sample size was 20, then what is the decision for this correlation test?
Retain the null hypothesis
(#43) A researcher determines that x^2 =3.76 to test for significance for a phi correlation
coefficient. What was the decision for this phi correlation test?
Retain the null hypothesis
(#45) IF X^2 =3.84 and n=36, then what is the value of r?
0.11
, 0.16
0.33
0.36
0.33
(#50) Select the description below that identifies the following correlation: r=.28, p < .01
-the correlation is positive
-the correlation is statistically significant
-the coefficient of determination is .08
ALL OF THE ABOVE
(#54) The correlation coefficient varies between 0 and 1 and can never be negative (T/F)?
False
(#57) A correlation of r=.50 in a sample of 15 participants is statistically significant for a
two-tailed test at .05 level of significance (T/F)?
False
(#58) A correlation of r=.38 in a sample of 30 participants is statistically significant for a
two-tailed test at .05 level of significance (T/F)?
True
(#64) The assumptions of normality require that the range of scores observed in a sample is
the same of the possible range of scores in the population (T/F)?
False
(#65) Homoscedasticity is the assumption that there is an equal variance of data points
dispersed along the regression line (T/F)?
True
(#66) Linearity is the assumption that the best way to describe a pattern of data is using a
straight line (T/F)?
100% CORRECT ANSWERS!!
#37) A researcher measures the correlation between self-esteem (high, low) and physical
fitness scores among school athletes. In the study, 12 participants reported high self-esteem,
and 12 reported low. If S(r) = 9.06 and M(y1)-M(y2) = 11, then what is the value of the
correlation coefficient?
0.61
0.30
0.39
not enough info
0.61
(#41) A researcher measures the correlation between the frequency of self-esteem (high,
low) and health status (lean/healthy, overweight/obese). Based on the frequencies for each
nominal category given below, what is the value of the phi correlation coefficient?
0.08
0.28
0.52
0.56
0.28
(#42) A researcher computes the following phi correlation coefficient r (phi) = 0.42. If the
sample size was 20, then what is the decision for this correlation test?
Retain the null hypothesis
(#43) A researcher determines that x^2 =3.76 to test for significance for a phi correlation
coefficient. What was the decision for this phi correlation test?
Retain the null hypothesis
(#45) IF X^2 =3.84 and n=36, then what is the value of r?
0.11
, 0.16
0.33
0.36
0.33
(#50) Select the description below that identifies the following correlation: r=.28, p < .01
-the correlation is positive
-the correlation is statistically significant
-the coefficient of determination is .08
ALL OF THE ABOVE
(#54) The correlation coefficient varies between 0 and 1 and can never be negative (T/F)?
False
(#57) A correlation of r=.50 in a sample of 15 participants is statistically significant for a
two-tailed test at .05 level of significance (T/F)?
False
(#58) A correlation of r=.38 in a sample of 30 participants is statistically significant for a
two-tailed test at .05 level of significance (T/F)?
True
(#64) The assumptions of normality require that the range of scores observed in a sample is
the same of the possible range of scores in the population (T/F)?
False
(#65) Homoscedasticity is the assumption that there is an equal variance of data points
dispersed along the regression line (T/F)?
True
(#66) Linearity is the assumption that the best way to describe a pattern of data is using a
straight line (T/F)?
