Question

Exercise 2: The hospital administrator mentioned that a randomly selected 64 patients and measured the time (in minutes) between when they checked in to the ER and the time they were first seen by a doctor. The average time is 150 minutes and the standard deviation is 42 minutes. She is getting grief from her supervisor on the basis that the wait times in the ER has increased greatly from last year's average of 135 minutes. However, she claims that the increase is probably just due to chance. Using a significance level of a = 0.10, is the change in wait times statistically significant? Use a two-sided test since it seems the supervisor had to inspect the data before she suggested an increase occurred. Activity 5: Hypothesis for small samples Types of t-tests: Independent Samples (between samples, do not confuse with independent variables): This refers to the fact that the samples are different populations. They are comparing two different groups Denondent Samples (naired samples do not confuse with dependent variable this rafare to the front the

Answer 1

Ans. classmate n=64, I = 150 minutes 2= 6.10 s-42 minutes Date Page we want to Holl = 135 test, i vls 4:4 & 135 Test statistic is, att t = 150-135 - 5.25 मर्य to 2.86 df = hal = 64-) =63 t-critical values at 22o.10 with to 1.669, 1.669 Rejection Region - Ec-1.669 or t > 1.669 since t-calulated > 1.669 Hence, we reject the null hypothesis a And condude that change in wait times statistically significant