ISDS COPE FINAL EXAM PREP ALREADY
PASSED
ANOVA is a statistical technique used to determine if differences exist between the means of
two populations. - =FALSE
ANOVA is a statistical technique used to determine if differences exist between the means of
three or more populations. - =TRUE
When using Fisher's least difference (LSD) method at some stated significance level α, the
probability of committing a Type I error increases as the number of pairwise comparisons
increases. - =TRUE
Fisher's LSD method is applied when the
A. ANOVA test has not rejected the null hypothesis of equal population means.
B. ANOVA test has rejected the null hypothesis of equal population means.
C. two-sample t test is not applicable.
D. None of these choices is correct. - =B. ANOVA test has rejected the null hypothesis of equal
population means.
When using Fisher's LSD method at some stated significance level, the probability of
committing a Type I error increases as the number of _________________________.
A. pairwise comparisons decreases
,B. pairwise comparisons increases
C. sample size increases
D. treatments decreases - =B. pairwise comparisons increases
Tukey's honestly significant differences (HSD) method ensures that the probability of a Type I
error remains fixed irrespective of the number of ________________.
A. pairwise comparisons
B. treatments
C. replications within each treatment
D. replications for each combination of factor A and factor B - =A. pairwise comparisons
If the interaction between two factors is not significant, the next tests to be done are
___________________.
A. none, the analysis is complete
B. none, gather more data
C. tests about the population means of factor A or factor B using two-way ANOVA without
interaction
D. Tukey's confidence intervals - =C. tests about the population means of factor A or factor B
using two-way ANOVA without interaction
, The correlation coefficient can only range between 0 and 1. - =FALSE (-1 </= RXY </= 1)
Simple linear regression includes more than one explanatory variable. - =FALSE
A simple linear regression model uses one explanatory variable to explain the variability in the
response variable. - =TRUE
Simple linear regression analysis differs from multiple regression analysis in that
A. simple linear regression uses only one explanatory variable
B. the coefficient of correlation is meaningless in simple linear regression
C. goodness-of-fit measures cannot be calculated with simple linear regression
D. the coefficient of determination is always higher in simple linear regression - =A. simple
linear regression uses only one explanatory variable
In a simple linear regression model, if the plots on a scatter diagram lie on a straight line, which
of the following is the standard error of the estimate?
A. -1
B. 0
C. +1
D. Infinity - =B. 0
PASSED
ANOVA is a statistical technique used to determine if differences exist between the means of
two populations. - =FALSE
ANOVA is a statistical technique used to determine if differences exist between the means of
three or more populations. - =TRUE
When using Fisher's least difference (LSD) method at some stated significance level α, the
probability of committing a Type I error increases as the number of pairwise comparisons
increases. - =TRUE
Fisher's LSD method is applied when the
A. ANOVA test has not rejected the null hypothesis of equal population means.
B. ANOVA test has rejected the null hypothesis of equal population means.
C. two-sample t test is not applicable.
D. None of these choices is correct. - =B. ANOVA test has rejected the null hypothesis of equal
population means.
When using Fisher's LSD method at some stated significance level, the probability of
committing a Type I error increases as the number of _________________________.
A. pairwise comparisons decreases
,B. pairwise comparisons increases
C. sample size increases
D. treatments decreases - =B. pairwise comparisons increases
Tukey's honestly significant differences (HSD) method ensures that the probability of a Type I
error remains fixed irrespective of the number of ________________.
A. pairwise comparisons
B. treatments
C. replications within each treatment
D. replications for each combination of factor A and factor B - =A. pairwise comparisons
If the interaction between two factors is not significant, the next tests to be done are
___________________.
A. none, the analysis is complete
B. none, gather more data
C. tests about the population means of factor A or factor B using two-way ANOVA without
interaction
D. Tukey's confidence intervals - =C. tests about the population means of factor A or factor B
using two-way ANOVA without interaction
, The correlation coefficient can only range between 0 and 1. - =FALSE (-1 </= RXY </= 1)
Simple linear regression includes more than one explanatory variable. - =FALSE
A simple linear regression model uses one explanatory variable to explain the variability in the
response variable. - =TRUE
Simple linear regression analysis differs from multiple regression analysis in that
A. simple linear regression uses only one explanatory variable
B. the coefficient of correlation is meaningless in simple linear regression
C. goodness-of-fit measures cannot be calculated with simple linear regression
D. the coefficient of determination is always higher in simple linear regression - =A. simple
linear regression uses only one explanatory variable
In a simple linear regression model, if the plots on a scatter diagram lie on a straight line, which
of the following is the standard error of the estimate?
A. -1
B. 0
C. +1
D. Infinity - =B. 0
