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raquel galindo 4 questions

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  1. 1If we want to test whether the percentage of women in Group 1 is bigger than in Group 2 we will have to conduct:
    1. AA one tailed two proportions test
    2. BA two tailed two proportions test
    3. CA one tailed paired-samples two means test
    4. DA two tailed paired-samples two means test
  2. 2In an ANOVA, when the Total Squared Sum (SST) increases:
    1. AThe differences in average means increase. Therefore, we are more likely to reject the null hypothesis.
    2. BWithout more information we do not know the source of the increase of variability and therefore cannot tell whether we are more or less likely to reject the null hypothesis.
    3. CThe differences in average means decrease. Therefore, we are more likely to reject the null hypothesis.
    4. DThe differences in average means decrease. Therefore, we are less likely to reject the null hypothesis.
  3. 3In an ANOVA, when the Squared Sum of between Grous (SSG) increases, all else being equal:
    1. AThe differences in average means decrease. Therefore, we are less likely to reject the null hypothesis.
    2. BThe differences in average means increase. Therefore, we are more likely to reject the null hypothesis.
    3. CThe differences in average means decrease. Therefore, we are more likely to reject the null hypothesis.
    4. DThe differences in average means increase. Therefore, we are less likely to reject the null hypothesis.
  4. 4In an ANOVA:
    1. AThe F statistic measures the inter-group variability (MSG) relative to the intra group variability (MSE). The higher the F statistic the more likely we are to reject the null hypothesis of mean equality.
    2. BThe F statistic measures the inter-group variability (MSG) relative to the intra group variability (MSE). The higher the F statistic the less likely we are to reject the null hypothesis of mean equality.
    3. CThe F statistic measures the intra-group variability (MSE) relative to the inter group variability (MSG). The higher the F statistic the more likely we are to reject the null hypothesis of mean equality.
    4. DThe F statistic measures the intra-group variability (MSE) relative to the inter group variability (MSG). The higher the F statistic the less likely we are to reject the null hypothesis of mean equality.

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Quiz on Untitled, created by raquel galindo on 07/06/2016.
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