Research suggests that the pressure of being timed may interfere with performance on tests that involve mathematical problems. A fictional study was conducted with 30 sixth graders. First, the sixth graders were given a math test that contained 50 problems and were told that they had only one hour to complete it (timed condition). The same sixth graders were later given a math test that contained 50 problems and were told that they could have as much time, as needed, to complete the test (unlimited time condition). The total number of correct answers for each sixth grader was then calculated for each condition. Then, for each student, the difference between the two scores (timed − untimed) was calculated. The researchers hypothesized that the sixth graders would get fewer correct answers when they took the test with a time limit than when they had unlimited time.The following hypotheses were tested:H0: μd = 0Ha: μd < 0The researchers analyzed the data and obtained the following output:Which of the following is an appropriate conclusion based on the output? The data do not provide sufficient evidence to reject H0. Thus, the researchers conclude that sixth grade students get, on average, fewer correct answers and, thus, lower scores, on math tests, when taking them under timed conditions as compared to untimed conditions. The data do not provide sufficient evidence to reject H0. Thus, based on the data, the researchers cannot conclude that mean number of correct answers on the math test for the timed condition is lower than for the untimed condition. The data provide sufficient evidence to reject H0. Thus, based on the data the researchers cannot conclude that mean number of correct answers on the math test for the timed condition is lower than for the untimed condition. The data provide sufficient evidence to reject H0. Thus, the researchers conclude that sixth grade students get, on average, fewer correct answers and thus lower scores on math tests when taking them under timed conditions as compared to untimed conditions.

A study was conducted to explore the possibility of a podcast treatment effect on someone's ability to estimate time. One version of the study involved 95 school students. Each student was led into a dark room, and asked to press a button exactly three minutes after a signal was given. The time that actually passed from the signal to the pushing of the button was recorded in seconds. The school students were allocated to a group randomly at the time that they signed up for the study. One group listened to a podcast during the study, while the other group did not. The researchers found a difference of 8.7 seconds between the mean of the times recorded for each group, with the group that listened to a podcast having the higher mean. The tail proportion from a randomisation test carried out with the data from the study was 109/1000. Is the observed difference unusual when compared to the 'just chance' distribution? (enter yes or no)

a mathmatical examination started at 7:00a.m lasted for 2 and a half hours what time did it end

A study was conducted to explore the possibility of a music treatment effect on someone's ability to estimate time. One version of the study involved 115 university students. Each student was led into a dark room, and asked to press a button exactly three minutes after a signal was given. The time that actually passed from the signal to the pushing of the button was recorded in minutes. The university students were allocated to one of the two groups based on their weight. One group listened to jazz music during the study, while the other group did not. The researchers found a difference of 0.18 minutes between the mean of the times recorded for each group, with the group that listened to jazz music having the higher mean. The tail proportion from a randomisation test carried out with the data from the study was 115/1000. Use the information above to answer the following questions. In some cases, you will need to copy and paste words exactly as they appear above. Who were the participants in this study? student How many participants were used for this study? What was the treatment effect explored? treatment effect What were the units used to measure the response variable? Write the tail proportion as a percentage (rounded to one decimal place e.g. 12.5 or 25.0): 11.5 % Is the observed difference compatible with the null model? (enter yes or no) Is the observed difference unusual when compared to the 'just chance' distribution? (enter yes or no) Was randomisation used in the design of the study? (enter yes or no

A mathematics test, given to a set of incoming freshmen at a college, consists of five difficult math problems. Only a small number of the incoming freshmen could approach the questions well enough because these were higher-level statistics questions. This test would not be useful in separating those who failed high school math from those who aced Calculus because ofGroup of answer choicesa floor effecta ceiling effectboth

A mathematics test, given to a set of incoming freshmen at a college, consists of five difficult math problems. Only a small number of the incoming freshmen could approach the questions well enough because these were higher-level statistics questions. This test would not be useful in separating those who failed high school math from those who aced Calculus because ofGroup of answer choicesbotha floor effecta ceiling effect