There are two main kinds of statistics: Which is NOT an example of categorical d
ID: 3218693 • Letter: T
Question
There are two main kinds of statistics:
Which is NOT an example of categorical data?
Which of these measures of central tendency divides a distribution in half?
In hypothesis testing, we generally test a:
Measuring child's distress during dental treatment with mother present versus absent would require a:
For a one-way ANOVA, we have 5 groups and 10 participants per group: what are dfbetween:
For a factorial ANOVA we are looking at the effect of 3 treatments (experimental, control, and no treatment) and 2 groups (Male and Female). How many cells will there be on this experiment?
What follow-up analysis will help you understand a significant interaction better in a factorial ANOVA?
The more tests you run, the greater the chances of committing a type _____ error
How many possible pairwise comparisons can you make if you have 6 groups?
Descriptive and inferentialExplanation / Answer
There are two main kinds of statistics: Ans : Descriptive and inferential Which is NOT an example of categorical data? Ans : Height is NOT an example of categorical data because it is depicted in the form of numbers Which of these measures of central tendency divides a distribution in half? Ans : Median divides a distribution in half In hypothesis testing, we generally test a: Ans : Null hypothesis Measuring child's distress during dental treatment with mother present versus absent would require a: Ans : Assuming the same children are measured for distress, once with mother present and second time with mother absent, we would require a Related Samples t-test For a one-way ANOVA, we have 5 groups and 10 participants per group: what are dfbetween: Ans : df between = 5 groups - 1 = 4 df = 4 For a factorial ANOVA we are looking at the effect of 3 treatments (experimental, control, and no treatment) and 2 groups (Male and Female). How many cells will there be on this experiment? Ans : There will be 3 treatments x 2 groups = 6 cells in this experiment 6 What follow-up analysis will help you understand a significant interaction better in a factorial ANOVA? Ans : When there is significant interaction, we focus on interaction using Simple main effects The more tests you run, the greater the chances of committing a type _____ error Ans : The more tests you run, the greater the chances of committing a type I error How many possible pairwise comparisons can you make if you have 6 groups? Ans : If we have 6 groups we can make 6C2 = 15 pairwise comparisons