Guide for Assumptions Checks in Hypothesis Testing
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Questions and Answers

Which test is recommended for checking equal variances in t-test and ANOVA?

  • Kolmogorov-Smirnov Test
  • Levene’s Test (correct)
  • Q-Q Plot
  • Shapiro-Wilk Test
  • What does a boxplot indicate when no dots are present?

  • There are no outliers present. (correct)
  • The data follows a uniform distribution.
  • There are significant outliers present.
  • The data is normally distributed.
  • What characterizes heteroscedasticity in correlation data?

  • The data points 'fan out' across the graph. (correct)
  • The data points are all clustered closely together.
  • The data points show a consistent spread.
  • The data points maintain a linear relationship.
  • Which method is primarily used to visually check for outliers in correlation data?

    <p>Scatterplot</p> Signup and view all the answers

    When using the Shapiro-Wilk Test, what does a p-value less than .05 imply?

    <p>The data is non-normal.</p> Signup and view all the answers

    In the context of the Kolmogorov-Smirnov Test, what does a sample size of n ≥ 50 indicate?

    <p>This test is suitable for assessing normality.</p> Signup and view all the answers

    What is an indication of no significant outliers in the context of a scatterplot?

    <p>The points are densely packed around the line of best fit.</p> Signup and view all the answers

    Which plot helps to visually assess if a dataset follows a normal distribution in large samples?

    <p>Histogram</p> Signup and view all the answers

    Which assumption must be checked before using One-Way ANOVA?

    <p>Normal distribution in both categorical groups</p> Signup and view all the answers

    What should be used if the assumptions of the t-Test for Independent Samples are violated?

    <p>Mann-Whitney U Test</p> Signup and view all the answers

    What is a requirement for using Tukey’s HSD test?

    <p>Equal sample sizes</p> Signup and view all the answers

    Which test is appropriate when there is a significant variability in group variances?

    <p>Welch’s ANOVA</p> Signup and view all the answers

    When using the Kruskal-Wallis H Test for nonparametric data, what should follow if significant differences are found?

    <p>Bonferroni Procedure</p> Signup and view all the answers

    What is NOT an assumption for the t-Test for Independent Samples?

    <p>Normal distribution among all groups</p> Signup and view all the answers

    If the assumptions of One-Way ANOVA are met except for homogeneity of variance, which approach is recommended?

    <p>Games-Howell test</p> Signup and view all the answers

    Which test is the nonparametric counterpart of the paired t-Test?

    <p>Wilcoxon-Signed Rank Test</p> Signup and view all the answers

    Which test is more robust when the assumptions of correlation are violated?

    <p>Kendall’s tau-B correlation</p> Signup and view all the answers

    What is a prerequisite for conducting the Chi-Square Test for Goodness of Fit?

    <p>One categorical variable</p> Signup and view all the answers

    Which of the following assumptions must be met when conducting a Pearson’s r correlation?

    <p>There must be no univariate outliers</p> Signup and view all the answers

    Which of the following is NOT an assumption of the Chi-Square Test for Independence?

    <p>Bivariate normal distribution</p> Signup and view all the answers

    What does the term 'homoscedasticity' refer to in correlation analysis?

    <p>Variance of the dependent variable is constant across levels of the independent variable.</p> Signup and view all the answers

    What is the primary focus of a Two-Way ANOVA?

    <p>Examining the influence of two factors</p> Signup and view all the answers

    In the context of ANOVA, what does ANCOVA control for?

    <p>External variables that might affect the study</p> Signup and view all the answers

    What must be ensured when using multiple dependent variables in MANCOVA?

    <p>Homogeneity of variance and similar assumptions as ANCOVA must hold</p> Signup and view all the answers

    Study Notes

    Assumptions Checks Overview

    • Assumptions checks determine the appropriateness of hypothesis-testing procedures for data.
    • Conduct various methods to assess assumptions and identify violations.

    Normality Assumption

    • Shapiro-Wilk Test: Ideal for n < 50; assesses normality.
      • p-value < .05 indicates non-normality.
      • p-value ≥ .05 indicates normality.
    • Kolmogorov-Smirnov Test: Suitable for n ≥ 50; similar decision criteria as Shapiro-Wilk.
    • Histogram: Use for large sample sizes (e.g., n = 300); visually assess normality.
    • Q-Q Plot: Complement histogram for large samples; normal distribution indicated if dots align along the straight line.

    No Significant Outliers Assumption

    • Boxplot: Identifies outliers.
      • Absence of dots indicates no outliers.
      • Presence of dots indicates outliers.
    • Scatterplot: For correlation, visually check for data points deviating from the pattern indicating significant outliers.

    Equal Variances Assumption

    • Homogeneity of Variance: Critical for t-tests and ANOVA.
      • Levene’s Test: p < .05 indicates unequal variance; p ≥ .05 indicates equal variance.
    • Homoscedasticity: Assessed with scatterplot for correlation; data should “fan out” evenly.

    Tests for Differences

    • Wilcoxon-Signed Rank Test: Nonparametric alternative to Paired t-Test when assumptions are violated.
    • t-Test for Independent Samples: Compares two datasets from different groups.
      • Assumptions include continuous dependent variable, two categorical groups, independent observations, normal distribution, no outliers, and homogeneity of variance.
      • Mann-Whitney U Test: Nonparametric alternative if assumptions are violated.

    One-Way ANOVA

    • Used for comparing three or more groups.
      • Assumptions involve continuous dependent variables, independent categorical groups, independent observations, no significant outliers, normal distribution across groups, and homogeneity of variances.
      • If assumptions are met, use Student’s ANOVA.
      • Post hoc comparisons for significant ANOVA results:
        • Tukey’s HSD for equal sample sizes.
        • Tukey-Kramer for unequal sample sizes.
        • Scheffé test for unequal sample sizes.
    • To address violation of homogeneity of variance, use Welch’s ANOVA and Games-Howell post hoc test.
    • Kruskal-Wallis H Test: Used when assumptions are violated, followed by Dunn’s test or Bonferroni Procedure for post hoc testing.

    Variations of ANOVA

    • Repeated-Measures ANOVA: Analyzes three or more scores from the same respondents.
    • Two-Way ANOVA: Assesses effects of two factors (e.g., coffee and music on memory).
    • ANCOVA: ANOVA controlling for other influencing variables.
    • MANOVA: Simultaneous ANOVA for multiple dependent variables.
    • MANCOVA: Like ANCOVA but for multiple dependent variables.

    Pearson’s r Correlation

    • Examines the relationship between two continuous variables.
      • Assumptions include both variables being continuous, paired observations, independence, linear relationship, bivariate normal distribution, no outliers, and homoscedasticity.
    • If assumptions are violated, use Kendall’s tau-B or Spearman’s rho for correlation analysis.

    Chi-Square Tests

    • Chi-Square Test for Goodness of Fit: Determines if actual proportions align with expected proportions (e.g., gender representation in crime statistics).
      • Assumptions include one categorical variable, independence of observations, mutually exclusive groups, and at least 5 expected frequencies per group.
    • Chi-Square Test for Independence: Assesses whether categories are related (e.g., color preference and personality traits).

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    Description

    This quiz focuses on the various assumptions checks necessary for evaluating hypothesis-testing procedures. It discusses methods like the Shapiro-Wilk Test for normality assumption and provides guidance on when to use these techniques. Perfect for those studying statistics or preparing for data analysis.

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