Interpreting dataset multiple choice quiz for degree level students
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Questions and Answers

What is the appropriate method for handling missing data in this dataset?

  • Use the forward fill method to fill in missing values
  • Impute missing values based on the mean of the entire dataset
  • Apply multiple imputation to handle missing data (correct)
  • Remove rows with missing values entirely

    • Which statistical test would be most appropriate for analyzing the relationships in this dataset?

  • One-way ANOVA for comparing means of multiple groups
  • Chi-squared test for independence (correct)
  • Independent t-test for comparing means of two groups
  • Mann-Whitney U test for non-parametric comparison of two independent samples

    • What is the most effective method for reducing the dimensionality of this dataset?

  • Principal Component Analysis (PCA) (correct)
  • Stepwise regression
  • Lasso regression
  • Singular Value Decomposition (SVD)

    • When interpreting a raw dataset, which approach would be most appropriate for identifying outliers?

    <p>Using the interquartile range (IQR) method to detect outliers</p> Signup and view all the answers

    In interpreting a raw dataset, which technique is most suitable for detecting multicollinearity among the independent variables?

    <p>Variance inflation factor (VIF)</p> Signup and view all the answers

    When interpreting a raw dataset, which method is most appropriate for assessing the goodness of fit of a regression model?

    <p>Akaike Information Criterion (AIC)</p> Signup and view all the answers

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