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Psych stats quiz for chap 8 and 9
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Terms in this set (20)
As the sample size increases, the standard error decrease.
T
If the researcher hypothesizes that a treatment will decrease scores, then the critical region for a directional test will be in the right tail.
F
Most researches would like to reject the null hypothesis.
T
If the sample data are in the critical region with a= 0.05, then the same sample data would still be in the critical region if a were changed to 0.01.
F
In general, the null hypothesis states that the sample mean does not differ from the population mean.
T
Type II error occurs when we set a low a too low.
T
The critical region for a hypothesis test consists of sample outcomes that are very unlikely to occur if the null hypothesis is true.
T
Type 1 error occurs when a researcher concludes concludes that there is no effect when there really is an effect.
F
An alpha level of 0.05 has a smaller critical region than an alpha level of 0.01.
F
In a hypothesis test, the value obtained for the z score is independent of (not affected by) the sample size
F
As the sample size is increased, the distribution of t statistics becomes flatter and more spread out.
F
As degrees of freedom (df) increases, the t value in the t distribution table also increases.
F
Sample size has no influence on effect size.
T
The t distribution for df=4 is flatter and more spread out then the t distribution for df =20.
T
The confidence interval always includes the population mean
F
For a hypothesis test using a t statistic, boundaries for the critical region will change if the sample size is changed.
T
A t statistic is used when population variance is known.
F
Two samples from the same population will have different t statistics even if they are the same size and have the same mean.
T
The confidence interval always includes the sample mean.
T
If other factors are held constant, the bigger the sample is, the greater than likelihood of rejecting the null hypothesis.
T
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