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STATS EXAM 3 QUESTIONS AND ANSWERS

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STATS EXAM 3 QUESTIONS AND ANSWERS

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  • September 4, 2024
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  • 2024/2025
  • Exam (elaborations)
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GEEKA
STATS EXAM 3 QUESTIONS AND ANSWERS
For an anova comparing three treatment conditions, what is stated by the null
hypothesis (ho)? - answers -there are no difference between any of the population
means

When comparing more than two treatment means, why should you use an analysis of
variance instead of using several t tests? - answers -using several t tests increases the
risk of experiment-wise type i error.

In an analysis of variance, differences caused by treatment effects contribute to which
of the following variences? - answers -between-treatments variance but not within-
treatments variance

On average, what value is expected for the f-ratio if the null hypothesis is false? -
answers -much greater than 1.00

For which of the following pearson correlations would the data points be clustered most
closely around a straight line? - answers -r=-0.70

What would the scatter plot show for data that produce a pearson correlation of
r=+0.88? - answers -points clustered close to a line that slopes up to the right

The hypothesis test for a pearson correlation is usually (r) conducted using the
_____distribution - answers -t

What correlation is obtained when the pearson correlation is computed for data that
have been converted to ranks or an ordinal scale? - answers -the spearman correlation

Suppose the correlation between height and weight for adults is r=+0.40. What
proportion of the variability in weight can be explained by the relationship with height? -
answers -16%

For a two-tailed hypothesis test evaluating a pearson correlation, what is stated by the
null hypothesis? - answers -the population correlation is zero

What is indicated by a pearson correlation of r=+1.00 between x and y? - answers -each
time x increases, there is a perfectly predictable increase in y

Which of the following can create bias in the estimate of the correlation coefficient? -
answers -both a and c
(range restriction in the scores for x or y)
(the presence of outliers or some extreme scores)

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