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stats 203 final exam practice questions and answers 100% pass What is factorial ANOVA and when do you use it? - ANSWER-used with factorial designs- two or more independent variables Factorial notation system (e.g. 2x2, 2x3) - ANSWER-a way to summarize the design of the study numerically -numb...

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  • November 4, 2024
  • 6
  • 2024/2025
  • Exam (elaborations)
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  • stats 203 final exam practice questions and answer

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Copyright © KAYLIN 2024/2025 ACADEMIC YEAR. ALL RIGHTS RESERVED FIRST PUBLISH NOVEMBER, 2024




stats 203 final exam practice questions

and answers 100% pass


What is factorial ANOVA and when do you use it? - ANSWER✔✔-used with factorial designs- two or

more independent variables


Factorial notation system (e.g. 2x2, 2x3) - ANSWER✔✔-a way to summarize the design of the study

numerically


-number of numbers is = to number of factors (variables)


-actual numbers= the number of levels for each of the factors


What is main effect? - ANSWER✔✔-overall effect of a single variable


What are interactions? - ANSWER✔✔-when the effect of one factor depends on the level of another

factor


How can you spot main effect vs. interactions with the means? - ANSWER✔✔-compute row and column

means that combine the data for all cells that are at one level of a variable


will give a quick idea of whether there is a main effect or not


calculate the differences across the rows/columns


always do the same group first


see whether the differences differ




Copyright ©Stuvia International BV 2010-2024 Page 1/6

, Copyright © KAYLIN 2024/2025 ACADEMIC YEAR. ALL RIGHTS RESERVED FIRST PUBLISH NOVEMBER, 2024


How can you spot main effects vs. interactions in graphs? - ANSWER✔✔-main effect- lines almost parallel


interaction-lines intersect


How can you spot main effect vs. interactions in SPSS output? - ANSWER✔✔-


What are correlations and when do you use them? - ANSWER✔✔-use when we want to look at the

effect of one variable on another and not split people into groups


look at relationship between two continuous variables


ask how do changes in the value of one variable influence the values of another variable


a way of assigning a single number to describe these relationships


Scatterplots - ANSWER✔✔-positive relationship: as one variable goes up, so does the other


negative relationship: as one variable goes up, the other goes down


Strength - ANSWER✔✔-the magnitude of the coefficient tells how strong the relationship is


r=0, no relationship


r=-1 or 1, then perfect relationship


closer value is to 1 in absolute value-closer it is to perfect relationship


Testing correlations - ANSWER✔✔-use p-value to tell us if a correlation is statistically significant


compare r to a table of critical r's


Reporting correlations - ANSWER✔✔-A correlation coefficient between height and weight revealed a

significant positive relationship (r (20) = .81, p < .05). This suggests that the taller people are, the more

they tend to weigh.


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