l T-Mobile LTE 3:00 PM Done 13 of 16 PSYC 004 Final son egation 46 Sppcze that w
ID: 3318414 • Letter: L
Question
l T-Mobile LTE 3:00 PM Done 13 of 16 PSYC 004 Final son egation 46 Sppcze that weare gve, aco fidence interval for the Sopeof a re Which of the fallowing is the tast description of the reationship between this confidne a Conducting such a hypothess test would provide additional information that cannat be b The confidenoe interval and such a hypotheais test provide two distinct pieces of infor- c The confidenoe int erval and such a hypathess test provide exactly the same intormation d. The confidence int ervail cont ains the result of such a hypothess test and mare it also mon Sape the anfiora led pa into the for the ruyesson sopeat a to interval and a two-ded hypothess t giwen soldy by the confidence int erval computing one is equivalent to doing the ather indicat es how prease our infarence would be a r 47 In onstructing a ontdece interval interval's coverage of the true sope and the est imated predis on of the computed sape are refilected, respectivedy, by the a p-value and st andard deviation b. standard eror, test statistic c rejection region and a-levl d criticl t-value and tandard errar 48 Which of the fallowing is correct about the corrdation codficient df r-04 betwesn the time spent on wat ching TV (X: hours par week) and midterm score (Y)? a 10% of the variability in the time spot on watching TV is epaired by the model b 4% of the variability in the midterm oore is not ooplaned by its liner rdainip with the time spent on watdhing TV the time spant on wat ching TV association with the midterm score c 1 % of the variability in the midterm sore iseplared by its l naor rdationship with d.4%ofthe variability in the time on on watching TV is explaned by its liar R" is #" known as the comart of (fill in the blank). 50.Orecan use a chitured tegofgoodness of fit to tewhether accin is tar, i.e. PrtHaads) crnot given rests of 100 toms a True b. False 13 4 ]Explanation / Answer
46. There is an extremely close relationship between confidence intervals and hypothesis testing. When a 95% confidence interval is constructed, all values in the interval are considered plausible values for the parameter being estimated. Values outside the interval are rejected as relatively implausible. If the value of the parameter specified by the null hypothesis is contained in the 95% interval then the null hypothesis cannot be rejected at the 0.05 level. If the value specified by the null hypothesis is not in the interval then the null hypothesis can be rejected at the 0.05 level. If a 99% confidence interval is constructed, then values outside the interval are rejected at the 0.01 level.
Hence answer is d.
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.