The absolute mean deviation is an adequate measure of dispersion, and it is preferable over the standard deviation and variance because of its usefulness in inferential statistics.
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Q40: If experimental treatments produce an effect,
A) between-groups
Q41: Approximately 68 percent of the scores in
Q42: If the null hypothesis is true, alpha
Q43: The variance of a distribution is defined
Q44: Characteristics of a population of scores are
Q46: Most hypothesis testing is performed using known
Q47: As the level of significance is changed
Q48: Two-tailed tests are more liberal and less
Q49: The degrees of freedom equals the number
Q50: The standard error of the mean is
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