Conducting a paired-samples t test
When conducting a paired-samples t test, we can assess the practical importance of our obtained results by calculating:
a. post-hoc tests.
b. an effect size measure.
c. a confidence interval.
d. a hypothesis test.
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In a certain parking lot, 45% of the cars have four doors, 16% of the cars are blue, and 4% of the cars have four doors and are blue. What is the probability that a car chosen at random will have either four doors or a blue color, but not both?
We draw a ball from a bag that contains four red balls and eleven white balls. We replace the ball and draw another ball. What is the probability that both balls are white balls?
If the standard deviation for a population, as estimated from a sample, is s = 5.6, then the standard error for a sample size of N = 16 is:
When conducting a paired-samples t test, we compare our sample mean difference to:
For the single-sample t test, the confidence interval is centered around the:
With very few degrees of freedom, the test statistic:
In a paired-samples t test, the null hypothesis posits that the mean of the comparison distribution is:
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