Inferential statistics and hypothesis testing Flashcards
if the sampling distribution of a sample statistic has a mean equal to the population parameter that the statistic is intended to estimate, what is said of the statistic?
it is an unbiased estimate of the parameter
if the mean of the sampling distribution is not equal to the parameter, what is said of the statistic?
it is a biased estimate of the parameter
what is the standard deviation of the sampling distribution?
standard deviation of sampled population / square root of sample size
(sampling error)
what are the two types of inferential statistics?
- estimation
2. hypothesis testing
definition: confidence interval
provides a range of plausible values for the population parameter
what are the conditions required for a valid confidence interval for u?
- random sample
2. large sample size
when do you use Student’s t statistic?
when you do not know what the standard deviation of the population is
what is the main difference between the sampling distributions of t and z?
t statistic is more variable than the z statistic
what is described by degrees of freedom?
actual amount of variability in the sampling distribution
how is the reliability associated with a confidence interval for the population mean expressed?
sampling error (margin of error)
definition: type I error
occurs if researcher rejects the null hypothesis in favor of the alternative hypothesis when in fact the null hypothesis is true
denoted by alpha
definition: type II error
occurs if the researcher accepts the null hypothesis when, in fact, the null hypothesis is false
denoted by beta
definition: p value
observed significance level for a specific statistical test is the probability of observing a value of the test statistic that is at least as contradictory to the null hypothesis, and supportive of the alternative hypothesis, as the actual one computed from the sample data
the p value is compared to what other value when determining whether or not to reject the null hypothesis?
alpha (type I error value)
what conditions are required for a valid hypothesis test for u?
- random sample
2. large sample size