Question

In: Statistics and Probability

The following data is the survival time of a set of patients who had Glioblastoma (it...

  1. The following data is the survival time of a set of patients who had Glioblastoma (it is the time from detection until death): {5.28, 6.36, 9.72, 0.25, 5.52, 0.24, 76.8, 15.12, 11.52, 21.84, 2.76, 5.4, 15, 4.8, 1.08}.

Construct a Q-Q plot (normal probability plot) for the data

Solutions

Expert Solution

Q-Q plot:

Formula Reference:

Select Z score of i and standardized x values and go to recommended charts. Choose scatter diagram and add trend line


Related Solutions

The following data is the survival time of a set of patients who had Glioblastoma (it...
The following data is the survival time of a set of patients who had Glioblastoma (it is the time from detection until death): {5.28, 6.36, 9.72, 0.25, 5.52, 0.24, 76.8, 15.12, 11.52, 21.84, 2.76, 5.4, 15, 4.8, 1.08}. Determine a 90% confidence interval for the median of the data and a 90% confidence interval for the mean of the data.
Given the following data: Number of patients = 3,293 Number of patients who had a positive...
Given the following data: Number of patients = 3,293 Number of patients who had a positive test result and had the disease = 2,184 Number of patients who had a negative test, and did NOT have the disease = 997 Number of patients who HAD a positive test result, but did NOT have the disease = 55 Number of patients who had a negative test result, but who HAD the disease = 57 a. Create a complete and fully labelled...
Given the following data: Number of patients = 3,293 Number of patients who had a positive...
Given the following data: Number of patients = 3,293 Number of patients who had a positive test result and had the disease = 2,184 Number of patients who had a negative test, and did not have the disease = 997 Number of patients who had a positive test result, but did not have the disease = 55 Number of patients who had a negative test result, but who had the disease = 57 Create a complete and fully labelled 2x2...
8. Given the following data: Number of patients = 3,293 Number of patients who had a...
8. Given the following data: Number of patients = 3,293 Number of patients who had a positive test result and had the disease = 2,184 Number of patients who had a negative test, and did not have the disease = 997 Number of patients who had a positive test result, but did not have the disease = 55 Number of patients who had a negative test result, but who had the disease = 57 a. Create a complete and fully...
The PulseRates data set has pulse, height and weight for 90 patients who had an echocardiogram...
The PulseRates data set has pulse, height and weight for 90 patients who had an echocardiogram test in one of the clinic in Ottawa in the month of September. (a)[2] Fit a L-S regression line using height to predict the pulse rate (pulse rate is called the response variable). What is the equation of the L-S regression line? . Does it make sense to use this line? Why? (Check the correlation coefficient) (b)[2] Fit a L-S regression line using weight...
The current median survival time of patients  with acute myelogenous lukemia who achieve complete remission from conventional...
The current median survival time of patients  with acute myelogenous lukemia who achieve complete remission from conventional treatment is 21 months. A new procedure is being studied. Researchers hoped that with this new procedure, the median survival time will be improved. The following is the survival time for 10 patients who received the new treatment: Patient: 1,2,3,4,5,6,7,8,9,10 Survival Time: 24.1, 25.8, 20.5, 20.9, 27.3, 21.5, 20.1, 28.9, 19.2, 26.3 A) Let M be the median survival time for patients under the...
A study investigated survival rates for in-hospital patients who suffered cardiac arrest. Among 58,593 patients who...
A study investigated survival rates for in-hospital patients who suffered cardiac arrest. Among 58,593 patients who had a cardiac arrest during the day, 11,604 survived. Among 28.155 patients who suffered cardiac arrest at night, 4139 survived. Use a 0.01 significance level to test the claim that the survival rates are the same for day and night. State the degrees of freedom (i.e., DF = __) or write “not applicable” if not relevant. State all the requirements with respect to the...
A study investigated survival rates for in-hospital patients who suffered cardiac arrest. Among 58,583 patients who...
A study investigated survival rates for in-hospital patients who suffered cardiac arrest. Among 58,583 patients who has cardiac arrest during the day, 11,604 survived. Among 28,155 patients who suffered cardiac arrest during the night, 5350 survived. A physician claims that the survival rate of those who suffer cardiac arrest during the day is higher than the survival rate of those who suffer cardiac arrest during the night. a) Perform a complete hypothesis test to test their claim at the 5%...
A study investigated survival rates for in-hospital patients who suffered cardiac arrest. Among 58,583 patients who...
A study investigated survival rates for in-hospital patients who suffered cardiac arrest. Among 58,583 patients who has cardiac arrest during the day, 11,604 survived. Among 28,155 patients who suffered cardiac arrest during the night, 5350 survived. A physician claims that the survival rate of those who suffer cardiac arrest during the day is higher than the survival rate of those who suffer cardiac arrest during the night. a) Perform a complete hypothesis test to test their claim at the 5%...
The mean survival time for patients with a particular form of disease is 4 years. A...
The mean survival time for patients with a particular form of disease is 4 years. A new treatment is tried on 20 patients with this particular disease and their average survival time is 4.7 years with a standard deviation of 1.5 years. (a) State the direction of the alternative hypothesis to test if the new treatment constitutes a significant improvement in survival time. Type gt (greater than), ge (greater than or equal to), lt (less than), le (less than or...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT