If we were to repeat this procedure many times, 95% of the confidence intervals would contain the true parameter.
100
sigma / sqrt(n)
What is the standard deviation of the sampling distribution of x bar?
100
The first condition for every test we ever perform
What is randomization?
100
This value is unaffected by switching x and y
What is correlation coefficient (r)?
200
The probability of rejecting a true null hypothesis
What is alpha?
200
The general interpretation of a p-value
Assuming the null hypothesis is true, the probability of getting a statistic as or more extreme than the one we observed is (p-value).
200
The "observed effect" for a one-sample t-test
What is (x bar - mu)?
200
The sample size necessary to conclude that the sampling distribution of x bar is approximately normal
What is n=30?
200
This is needed to establish causation
What is random allocation of treatment?
300
All possible values of a sample mean along with the frequency at which they occur (for fixed sample size).
What is the sampling distribution of x bar?
300
Interpret this 95% confidence interval: (15,18)
Mu is the mean number of emails I get in a week.
We are 95% confident that the mean number of emails Tyler receives in a week is in the interval (15, 18)
300
The parameter estimated by a matched pairs t-test
What is the mean difference?
300
This is how we meet the normality condition for a one sample t-test.
What is a single peaked sample plot with no outliers?
300
The number of consecutive points above or below the procedural average to determine a process is out of control
What is nine?
400
The probability of rejecting a false null hypothesis
What is power?
400
The regression equation modeling "score on the final exam (percent)" vs. "number of hours studied" is found to be score(y)= 65 + 7x
Interpret b in context
For each additional hour studied, we'd expect a 7% increase in score on the final exam.
400
The standard error for a one-sample t-confidence interval
What is s/sqrt(n)?
400
The hypotheses for Chi Square
Null: There is NO association between x and y
Alt: There is an association between x and y
400
Doing this will decrease margin of error, reduce the standard deviation of the sampling distribution of x bar, increase power, or make the sampling distribution of p hat more normal.
What is increase sample size?
500
Doing this is a bad idea because it inflates our type I error rate.
What are multiple analyses?
500
The regression equation modeling "score on the final exam (percent)" vs. "number of hours studied" is found to be score(y)= 65 + 7x
R squared = .89
Interpret R squared in context
89% of the variation in scores on the final exam can be explained by the number of hours studied.
500
The standard error for a two sample z-test for proportions
sqrt(p(1-p)(1/n1 +1/n2))
500
The hypotheses for ANOVA
Null: Mu1 = Mu2 = Mu3 = Mu4
Alt: At least one mean differs significantly from the others.
500
The only way to get 5 points of extra credit on the final exam
What is filling out your student evaluations for both Dr. Christensen (through BYU) and me (through credit quiz 39)?