The assumptions to check for confidence intervals are the same as it is for hypothesis tests.TrueFalseChoose all that apply. The significance level isA) aB) The probability of a type II errorC) the confidence levelD) the probability of a type I errorE) chosen by the researchersIf we fail to reject the null, but the null is actually false, we’veProved what we wanted to proveMade a type I errorFound evidence that supports the alternativeMade a type II errorWe’re trying to show that the true average resting pulse rate of teenagers is greater than 70 . beats per minute. What would our parameter be?Pa We’re trying to show that the true proportion of fractures that are compound is less than 20%. What would our alternative hypothesis be?P < 0.2P=0.2=0.2P > 0.2 <0.2We're trying to show that the true average length of an adult male femur is greater than 1.5 feet. What would a type I error mean?Our test results provide evidence that the true average is greater than 1.5, but it’s actually lessOur test results provide evidence that it’s less than 1.5 feet, but it’s actually greaterOur tests results supported that the average length is greater than 1.5 feetOur test results supported that the average length is less than 1.5 feetWe’re trying to show that the true proportion of Americans that are obese is greater than 40%. What would our parameter be?P We’re trying to show that the true proportion of blood donations that are O+ is different than 50%. What would our alternative hypothesis be?P??0.5 ?0.5?0.5P > 0.5P < 0.5We're trying to show that the true average length of a hospital stay for a CoVid patient is less than 20 days. What would our parameter be? P MathStatistics and Probability MAT 202
