P-value = 0.001
What is "since the P-value is less than any reasonable significance level, we reject the null hypothesis, and conclude there is significance evidence to support the alternative hypothesis"?
What is "Store the data in a list, then do STAT-->CALC-->1-1-Var Stats"?
Interpreting the slope of the least squares regression line given by
height-hat = 38.30+1.43*footlength
What is "For every one unit increase in the footlength, we predict a 1.43 unit increase in the height"?
The rule for finding the probability of a female given that they are an AP Stats student.
What is P(Female|AP Stats Student) = P(Female AND AP Stats Student)/P(AP Stats Student)
The z* for a 92% confidence interval
What is DISTR (or 2nd VARS)--> invNorm(.96)?
or equivalent table value?
Interpretation of 95% Confidence level for the population proportion of Loyola students who drive an SUV is (0.045, 0.086)
What is "We are 95% confident that the true proportion of Loyola students who drive an SUV is between 4.5% to 8.6%?
The rule for finding the probability of obtaining the first success after the 5th trial.
What is P(X> 5) = 1 - P(X <= 4) =
1 - geometricCDF(p, 4)?
To carry out a Chi Square Test of Independence...
To carry out a Chi Square GOF Test...
What is "store your observed counts in Matrix A, STAT-TESTS-C: X2-TEST-CALCULATE"?
What is "store your observed counts in L1 and your expected counts in L2, STAT-TESTS-D X2 GOF TEST enter DF CALCULATE"?
The mean and standard deviation of the sampling distribution of sample means
What is the mean of the sampling distribution of sample means is equal to the population mean and the standard deviation of the sampling distribution of sample means is equal to the population standard deviation divided by the square root of the sample size?
The rule for finding exactly 10 successes in 15 trials.
What is P(X=10) = (15 C 10)*p^10*(1-p)^5
OR what is binomialPDF(n=15, p, k=10)
What is "put 20 slips of paper with "new" and 20 slips of paper with "current" in a hat, mix up the papers and for each patient, pull out a slip (without replacement) until all patients have been assigned to a treatment?
OR equivalent randomization method