Please answer all of questions below, I finished but I am not sure my answer correct thanks!

QUESTION 1 Data analysts use one-sample hypothesis tests to frustrate students manage random sampling error justify their jobs make bad decisions All of the choices above None of the choices QUESTION 2 How are one-sample hypothesis tests different from confidence intervals? One-sample hypothesis tests construct intervals and partial intervals around benchmarks instead of intervals around estimators. One-sample hypothesis tests use alpha instead of the confidence level. One-sample hypothesis tests are not different from confidence intervals. One-sample hypothesis tests provide less information about random sampling error. All of the choices above None of the choicesQUESTION 3 The critical value is required for use of the pvalue approach to one-sample hypothesis tests is the standardized value of the estimate is the standardized value associated with alpha or alpha/2 is the probability of committing type II error ' All of the choices above None of the choices QUESTION 4 A false positive in one-sample hypothesis tests occurs when " ' you use the absolute value to turn a negative value to a positive value " ' you fail to reject the null hypothesis when it is false ' you reject the alternative hypothesis when it is true ' you reject the null hypothesis when it is true ' All of the choices above None of the choices QUESTION 5 A one-tail, one-sample hypothesis test is more poweril than a two-tail, one-sample hypothesis test is less powerful than a two-tail, one-sample hypothesis test requires a skewed population lowers random sampling error All of the choices above None of the choices QUESTION 6 You would reject the null hypothesis if ' the critical value is less than alpha the test statistic is less than alpha 205110 is less than alpha ' the pvalue is less than alpha ' All of the choices above None of the choices QUESTION 9 Assume, for the sake of this question, that the data were collected through a well-designed, well-implemented random sampling method. The marketing department of a widget manufacturer collected potential consumer preference data regarding a proposed widget upgrade. Three hundred thirty-eight of 575 respondents reported preferring the proposed new widget. The widget manufacturing company had established a threshold of 60% preferring the proposed new widget to move forward with producing the new widgets. At a .10 level of significance, was the threshold probably met? Yes No There is insufficient information to answer this question All of the choices above None of the choices QUESTION 10 Assume that a process has a company-established specification for variation set at 4 minutes. Assume that a well-designed, well- implemented random sample of 150 process time measurements was collected. The mean time was 97.3 minutes, with a standard deviation of 4.77 minutes. Using the company established significance level of .07, is the process probably operating within its company-established specification? Yes No There is insufficient information to answer this question All of the choices above None of the choicesQUESTION 11 Continuing with the previous question ... based on the data collected from their sample, how confident should the company be that their process either is or is not operating within its specification for variation in the time required for the process? Approximately 99.95% confident Approximately 94.56% confident There is insufficient information to answer this question All of the choices above None of the choicesQUESTION 7 If the estimate being tested is less than the benchmark, you should conduct a onesample hypothesis test. ' two tail right tail left tail no tail ' All of the choices above None of the choices QUESTION 8 If the estimate is 29 and the benchmark is 28, because of the probability that the estimate su'ers from some random sampling error, it would be logical to ask , or is the difference probably due to random sampling error? is the estimate probably greater than the benchmark is the estimate greater than the benchmark is the benchmark wrong is alpha too low All of the choices above None of the choices