p < .05 means that the difference between sample means
The null hypothesis in a paired samples t test is that the two
In an independent samples design, the null hypothesis is that
A correlation coefficient of .72 based on 7 pairs is, for a two-tailed test,
b.significant at the .001 level
c.significant at the .05 level
d.significant at the .01 level
Suppose you obtained a sample from a population different from the one specified by the null hypothesis. On the basis of a t test, you failed to reject the null hypothesis. You have made a
a.Type II error
c.any of the other alternatives could be; more information is needed
d.Type I error
According to your text, the motivation of the agricultural scientists (agronomists) who selected 30:1 as the point separating differences due to chance from those not due to chance, was
a.to maximize the chance that a recommendation to change would be made
b.to minimize a Type II error
c.to minimize the chance of making a false recommendation
d.that tables already existed for odds of 30:1
1 – b is the ___ of a statistical test.
a.neither of the descriptive alternatives are correct
b.both of the descriptive alternatives are correct
c.probability of a
Data Set 10-1
A college teacher was assigned 4 freshmen advisees. He administered an attitude scale that measured liberalism-conservatism. Four years later, just before graduation, all 4 took the same scale again. High scores indicate conservative attitude. The following scores were obtained.
Freshman yearSenior year
The proper conclusion for the experiment described in Data Set 10-1 is
a.there was no significant shift in attitudes
b.there was a significant shift in attitudes from conservative to liberal (p < .05)
c.there was a significant shift in attitudes from liberal to conservative (p < .05)
Critical values are in the rejection region of the t distribution.
The symbol for an effect size index is ñ (rho).
The numerator of a t test is a difference between means.
If a difference is statistically significant, the null hypothesis was rejected.
The two opposing hypotheses in null hypothesis significance testing are the null hypothesis and the derivative hypothesis.
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