b
What statistical test do we run when we want to compare the means of several groups.
a) chi-square
b) One-Way ANOVA
c) Repeated-Measures ANOVA
d) Correlation
e) T-Test
f) Regression
c
What statistical test do we run when comparing the population means of several groups with multiple observations.
a) chi-square
b) One-Way ANOVA
c) Repeated-Measures ANOVA
d) Correlation
e) T-Test
f) Regression
ANOVA
-a technique to assess how one or more categorical independent variables affect a continuous dependent variable.
f
What statistical test do we run when we want to evaluate the relationship between one or more independent variables (continuous) and a single continuous dependent variable?
a) chi-square
b) One-Way ANOVA
c) Repeated-Measures ANOVA
d) Correlation
e) T-Test
f) Regression
ordinal
-A variable that allows the categories to be sorted is ordinal variables. Customer satisfaction (Excellent, Very Good, Good, Average, Bad, and so on) is an example
nominal
-this variable's categories have no natural ordering. Example: Gender, Blood groups
a
Which statistical test do we run when we want to find out whether a difference between two categorical variables is due to chance or a relationship between them?
a) chi-square
b) One-Way ANOVA
c) Repeated-Measures ANOVA
d) Independent T- Test
e) Paired T-Test
f) Regression
chi square
-a statistical test that is used to compare observed and expected results. The goal of this test is to identify whether a disparity between actual and predicted data is due to chance or to a link between the variables under consideration
d
Which statistical test do we run when comparing the means of two categorical independent variables?
a) chi-square
b) One-Way ANOVA
c) Repeated-Measures ANOVA
d) Independent T- Test
e) Paired T-Test
f) Regression
e
Which statistical test do we run when comparing the means of two groups, and repeat the observation again a year later?
a) chi-square
b) One-Way ANOVA
c) Repeated-Measures ANOVA
d) Independent T- Test
e) Paired T-Test
f) Regression