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STATS EXAM THREE
Terms in this set (26)
the natural discrepancy, or amount of error, between a sample statistic and its corresponding population parameter
a distribution of statistics obtained by selecting all the possible samples of a specific size from a population.
Type I Error
occurs when a researcher rejects a null hypothesis that is actually true. In a typical research situation, a ___________ error means the researcher concludes that a treatment does have an effect when in fact it has no effect.
Type II Error
occurs when a researcher fails to reject a null hypothesis that is in fact false. In a typical research situation, a _____________ error means that the hypothesis test has failed to detect a real treatment effect.
sample standard deviation
population standard deviation
The ______________ variable is the variable that is manipulated by the researcher.
The ________ variable is the one that is observed to assess the effect of the treatment.
the reject region is one or the other
the reject region could be both
Finding an effect that is actually there
Rejection of the null
There is a difference between the sample and population mean
Retaining the null
There is no difference between the sample and population mean
Three ways we increase power?
1.) increase the sample size
2.) have a strong manipulation
3.) use reliable and valid tests
Type I Error p = alpha
p = 1 - alpha
p = 1 - beta POWER
Type II Error p = beta
Say that we wanted to compare a sample of men and women on the average daily consumption of alcohol in the past month. The population standard deviations for the groups are unknown. Which of the following tests would be used?
independent groups t-test
The level of significance for an independent groups t-test is set at 0.05. Power is 0.8. What is the probability of Type-1 Error?
The standard deviation of the sampling distribution of means is called the __________ of the mean
if p is less than or equal to 0.05, is the result statistically significant?