Reading Questions Answer Checker
To check your answers put them in the appropriate box and click the ‘Check’ button. Every checker box can do arithmetic and calculate standard functions (see calculator help). If you give decimal answers, give them to at least 3 decimal places.
As you work you should have pencil and paper handy for calculations and thinking!
Note: some questions ask for a formula. For the checker we ask you to plug a value into the formula. For your pset you still need to give the whole formula.
//DEBUG PARAMETERS //Because we don’t show solutions for pset checkers we use //this to give a showanswer button during the debugging phase var debugans = undefined; //release //var debugans = kDebugAnswer; //debug problemNumber = 0; wl(“Calculator”); writecalculator(“psetcheckcalcid”, “Calculate”); whr(kdivcol,kdivwid);
//Problem 1 problemNumber++; wl(problemheader(problemNumber)); var s; var partName, problemName, buttonLabel, answerArray, correct; s = “If the original data has $n$ points then a bootstrap sample should have:"; wl(s); wl(kbr); partName = problemNumber; problemName = “prob” + partName; buttonLabel = “Check problem " + partName; correct = “The same number of points as the original because we want the bootstrap statistic to mimic the statistic on the original data."; var answerArray = [“Fewer points than the original because there is less information in the sample than in the underlying distribution.", correct, “Many more points than the original because we have the computing power to handle a lot of data."]; writeMultipleChoiceRadioGroup(answerArray, problemName, correct, buttonLabel); wl(kp); whr(kdivcol,kdivwid);
//Problem 2 problemNumber++; wl(problemheader(problemNumber)); var s; var partName, problemName, buttonLabel, answerArray, correct; s = “True or false: it is important to verify the assumption that the data is normal before running the parametric bootstrap."; wl(s); wl(kbr); partName = problemNumber; problemName = “prob” + partName; buttonLabel = “Check problem " + partName; correct = “False”; var answerArray = [“True”, correct]; writeMultipleChoiceRadioGroup(answerArray, problemName, correct, buttonLabel); wl(kp); whr(kdivcol,kdivwid);
//Problem 3 problemNumber++; wl(problemheader(problemNumber)); var s; var partName, problemName, buttonLabel, answerArray, correct; s = “True or false: the bootstrap is only effective if we know the sampling distribution for the statistic being used as an estimator."; wl(s); wl(kbr); partName = problemNumber; problemName = “prob” + partName; buttonLabel = “Check problem " + partName; correct = “False”; var answerArray = [“True”, correct]; writeMultipleChoiceRadioGroup(answerArray, problemName, correct, buttonLabel); wl(kp); whr(kdivcol,kdivwid);
//Problem 4 problemNumber++; wl(problemheader(problemNumber)); var s; var partName, problemName, buttonLabel, answerArray, correct; s = “True or false: the bootstrap percentile method is not as robust as the bootstrap using differences."; wl(s); wl(kbr); partName = problemNumber; problemName = “prob” + partName; buttonLabel = “Check problem " + partName; correct = “True”; var answerArray = [correct, ‘False’]; writeMultipleChoiceRadioGroup(answerArray, problemName, correct, buttonLabel); wl(kp); whr(kdivcol,kdivwid);