Scenario 3 Runner Music No Music 1 535 468 2 531 449 528 482 524 571 4 5 433 562 496 592 7 555 471 8 399 499 537 552 10 542 500 11 521 524 12 534 555 Do the data provide convincing evidence that the mean time to exhaustion for experienced triathletes is different when they run while listening to motivational music? Test the relevant hypotheses using a significance level of 0.1. Suggestion: write out every step in the hypothesis test. 3. LO 6.

The table below shows the marks out of 40 for nine students on two tests. The tests cover similar content but on one test the students are allowed to use a calculator while on the other test calculators are not allowed. Student A B Calculator allowed (x) 8 10 Non-calculator (y) 12 14 (b) C 14 6 Student J scored 25 on the test with calculators allowed, but missed the non-calculator test. Use the marks for students A to I to find the value of the Pearson correlation coefficient between the marks x on the test with calculator allowed and the marks y on the non-calculator test, and the equation of the least squares regression line of y on x. (a) (c) D E F G H I 14 16 22 28 32 36 4 28 16 24 22 18 Use the least squares regression line of y on x to estimate the mark of student J on the non-calculator test. Describe the strength of the correlation between the marks on the two tests and explain how this may affect the accuracy of your estimate.

Why does the use of multiple t tests increases?

The low temperatures in the Town of Rigby for 5 conservative days were -12, -17,-11,-12,-18 what was the mean low temperature for five days