Stats: Chapter 13
What are confidence limits?
The values that state the boundaries of the confidence interval
T or F: Confidence interval is an interval that the probability is .95 that the interval contains the population value
true, The probability is referring to the confidence interval not the population mean
T or F: If N>30 and the null hypothesis is normally shaped t-distribution looks like z-distribution
TRUE! (are all of these going to be true? wtf, you cray)
If H1 is directional then x-bar needs to be in the direction that was predicted
TRUe
True or False: The closer that a t-distribution gets to looking like a normal bell-shaped curve, the higher the df are.
TRUE, this indicates a larger sample size and is consistent with prior theories about normal distribution
What is a confidence interval?
A range of values that probably contains the population value
T or F: The T test is more powerful than the Ztest
FALSE the t test is less powerful than the ztest tcrit>zcrit as df increase tcrit approaches zcrit
Who is student?
Gosset
What does the sampling distribution of t do?
It gives all possible different t values for samples of size N The probability of getting each value if sampling is random from the null-hypothesis population
What is the sampling distribution of t?
It is a probability distribution of the t-values that would occur if all possible different samples of a fixed size N were drawn from the null hypothesis population.
What is required to run a z-test?
Mean and SD of Population bc it uses mean of pop. to test Null hypothesis must know the sampling distribution of the mean
T or F: As the size of the real effect increases so does the difference between x-bar-obt and mu
TRUE!
T or F: Like Sampling distribution of the mean, cab be determined theoretically or empirically
TRUE!
T or F: Most research does not meet the criteria for a z-test
TRUE!
What are degrees of freedom?
The number of scores that are free to vary in calculating a statistic
T or F: By estimating the standard deviation of the pop. using size of sample influences accuracy of the estimate
True
True or false: The wider a confidence interval the greater the confidence that the limits contain the mean.
True (alpha=.05 -> confidence interval contains 95% of scores)
True or False? T-dist. varies uniquely with the degrees of freedom associated with t instead of just the sample size
True! The df of single group t-test is N-1 if there are multiple groups it is N-K
T or F: Studen'ts t and the z-test are very similar.
True.
Why can't we use a z test in most research?
We can guess the mean but we cannot guess the standard deviation. The Z-test requires a large sample, but that's not always available to us.
When is the z-test used?
When the parameters of the Null Hypothesis Population are known (mean and standard deviation)
When do we use the t-test?
When the population standard deviation is unknown
How many t-distributions are there?
one for every df
if Tobtained > T crit then...
reject Null hypothesis