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Introduction to ANOVA quiz #1 Flashcards

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Introduction to ANOVA quiz #1
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  • What are the main assumptions required to perform an ANOVA test?
    The main assumptions of ANOVA are: (1) samples are random and independent, (2) the populations from which the samples are drawn are approximately normally distributed, and (3) the populations have approximately equal variances.
  • What does a high variance between groups indicate in an ANOVA test?
    A high variance between groups indicates that the groups are far apart and contain very different data values. This suggests that the means of the groups are likely different.
  • How is the F statistic in ANOVA calculated conceptually?
    The F statistic is calculated by dividing the variance between groups by the variance within groups. A higher F statistic suggests greater differences among group means.
  • What does a low F statistic suggest about the group means in ANOVA?
    A low F statistic suggests that the group means are likely similar. This is because the variance between groups is small compared to the variance within groups.
  • What is the null hypothesis in an ANOVA test when comparing three groups?
    The null hypothesis states that all three group means are equal. It does not matter how many groups there are; the null hypothesis always asserts equality of all means.
  • What information does ANOVA not provide about group means?
    ANOVA does not tell you which specific means are different or how many means differ. It also does not indicate whether the different means are higher or lower than others.
  • How do you determine degrees of freedom for the numerator in an ANOVA test?
    Degrees of freedom for the numerator is calculated as the number of groups minus one (k - 1). For example, with three groups, the numerator degrees of freedom is two.
  • What is the rule of thumb if a problem does not mention all ANOVA conditions?
    If a problem does not mention all conditions, it is generally safe to assume they are met unless there is evidence to the contrary. This allows you to proceed with the ANOVA test.
  • What does it mean if the p value from an ANOVA test is less than alpha?
    If the p value is less than alpha, you reject the null hypothesis. This means there is enough evidence to suggest that at least one group mean is significantly different.
  • What steps do you follow to run an ANOVA test using a calculator?
    First, enter each group's data into separate lists, then select the ANOVA test option and input the lists. The calculator will output the F statistic and p value for interpretation.