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Exam 4 for PBSI 301 (stats) questions with verified answers graded A+, Exams of Nursing

Exam 4 for PBSI 301 (stats) questions with verified answers graded A+

Typology: Exams

2024/2025

Available from 07/12/2025

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Exam 4 for PBSI 301 (stats) questions
with verified answers graded A+
Factorial ANOVA - correct answer ✔✔an analysis of variance involving two or more
independent variables or predictors.
factorial notation - correct answer ✔✔A way to summarize the design of a study numerically
i.e., 2x3 factorial notation =
The first variable has 2 levels (i.e., male or female) and the second IV has 3 levels (age, height,
weight)
factor - correct answer ✔✔an independent variable
Level - correct answer ✔✔the specific values that the experimenter chooses for a factor
- dependent variable
condition - correct answer ✔✔An option across all of the independent variables
Main Effect - correct answer ✔✔considering one IV at a time to see if there's a difference in DV
across all levels of IV
interaction - correct answer ✔✔considering one IV is not enough--we consider multiple IV to
see a change in DV. used to predict Dv/outcome. if there's an interaction between IVs it gets
complex and we have to say "it depends" when explaining hat happened in the DV/outcome.
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Exam 4 for PBSI 301 (stats) questions

with verified answers graded A+

Factorial ANOVA - correct answer ✔✔an analysis of variance involving two or more independent variables or predictors. factorial notation - correct answer ✔✔A way to summarize the design of a study numerically i.e., 2x3 factorial notation = The first variable has 2 levels (i.e., male or female) and the second IV has 3 levels (age, height, weight) factor - correct answer ✔✔an independent variable Level - correct answer ✔✔the specific values that the experimenter chooses for a factor

  • dependent variable condition - correct answer ✔✔An option across all of the independent variables Main Effect - correct answer ✔✔considering one IV at a time to see if there's a difference in DV across all levels of IV interaction - correct answer ✔✔considering one IV is not enough--we consider multiple IV to see a change in DV. used to predict Dv/outcome. if there's an interaction between IVs it gets complex and we have to say "it depends" when explaining hat happened in the DV/outcome.

how do identify main effects and interactions significance - correct answer ✔✔split them into sources of between or within and the p-value tells us whether or not the effect is significant or not Correlation - correct answer ✔✔how do changes in the value of one variable relate to the values of another variable correlation coefficient - correct answer ✔✔a statistical index of the relationship between two things (from -1 to +1) are a way of assigning a single number to describe these relationships- r. what does r tell us? - correct answer ✔✔1. Direction

  1. Strength Testing Correlations - correct answer ✔✔we use p-values to tell if significant, compared to the cristical rs (.05). Degree of freedom is N- r and effect size - correct answer ✔✔r is BOTH an obtained value AND a measure of effect size note that the obtained value of r is not influenced by sample size (the ns cancels out) The statistical significance of r relies on the sample size, though, because the critical value gets smaller as the sample size gets bigger

linear equation of regression - correct answer ✔✔Y' = bx + a The line of best fit - correct answer ✔✔Minimizes the distance between each data point and the line residual - correct answer ✔✔◦ The distance between the regression line and any one person's actual Y score Or the difference between y prime and y. solving for b - correct answer ✔✔know equation solving for a - correct answer ✔✔equation, need b how to test whether the beta (b) is significant? - correct answer ✔✔no critical values, given p- values standard error of estimate - correct answer ✔✔The average size of all the residuals unstandardized regression coefficient (b) - correct answer ✔✔The change in the dependent variable associated with a 1 unit change in the independent variable when all other variables in the regression model are controlled for standardized beta coefficient - correct answer ✔✔standardization translates each independent value into the number of standard deviations away from its own mean

It is the correlation when you have just 1 predictor!!! Helpful when we want to compare effects across different types of variables. Regression vs. Correlation - correct answer ✔✔In correlation, you can only have 2 variables ◦ In regression, you can have multiple predictors of a single outcome. ◦ Allows the researcher to ask more complex (and potentially more interesting questions) interpreting beta in multiple regression - correct answer ✔✔ r2 in regression - correct answer ✔✔This is the effect size for multiple regression Interpreted as a percentage of the variance accounted for by all of the predictors together. parsimony - correct answer ✔✔The scientific method demands that we should accept the simplest answer