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- A study of patients with stage 1 breast cancer is run to assess time to progression to stage II over an observation period of 15 years. Of interest is whether there is a difference in time to progression between patients on two different chemotherapy regimens. Times to progression are measured in years from the time at which the chemotherapy regimen was initiated. (using Excel and show the table) A) Estimate the survival functions (times to progression) for each chemotherapy regimen using the Kaplan-Meier approach. B) Sketch the two survival functions above. C) Test whether there is a significant difference in time to progression between treatment regimens using the log-rank test and a 5% level of significance. D) Compute and interpret the hazard ratio for progression to stage II with the regimen I as compared to regimen 2. Years to progression by chemotherapy regimen Regimen 11 Progression No progression 12 14 13 11 15 10 8 2 6 7 3 4 6 12 Regimen 2 Progression No progression 9 11 4 14…Ims.tu.edu.sa قائمة القراءة. Remaining Time: 34 minutes, 24 seconds. v Question Completion Status: QUESTION 1 "Suppose X has an exponential distribution with ß=1/2 , then P (X2 2) is " 0.3988 O 0.0183 0.4786 O 0.2916 QUESTION 2 "Suppose X has an exponential distribution with ß=1/4 , then P (Xs1.) is " O 0.9817 O 0.3246 O 0.4105 O 0.5116 QUESTION 3One tree in the study had a weight that exceeded its expected weight (according to the best fit curve) by more than that of any other tree. By how many tons did the trees actual weight exceed the expected weight for its height?
- Access the significsnce of each of the variables in the attached table. For age, write out all of the steps for hypothesis testing. For the other variables, report a p-value and conclusion. Write out the interpretation of the hazards ratios for age and sex in words. What is the estimated hazard ratio for a 10-year increase in age?Please use the accompanying Excel data set or accompanying Text file data set when completing the following exercise. An article in Wood Science and Technology, "Creep in Chipboard, Part 3: Initial Assessment of the Influence of Moisture Content and Level of Stressing on Rate of Creep and Time to Failure" (1981, Vol. 15, pp. 125-144) studied the deflection (mm) of particleboard from stress levels of relative humidity. Assume that the two variables are related according to the simple linear regression model. The data are shown below x = Stress level (%) 54 54 61 61 68 68 75 75 75 y = Deflection (mm) 16.473 18.693 14.305 15.121 13.505 11.64 11.168 12.534 11.224 a. Calculate the least square estimates of the intercept (a) and slope (b). What is the estimate of o² (c)? b. Find the estimate of the mean deflection if the stress level can be limited to 66% (d). c. Estimate the change in the mean deflection associated with a 8% increment in stress level (e). (a) i (Round your answer to 2…3. What percentage of College students have made at least one online purchase in the last three months? To answer this question, a market researcher surveyed 200 college students. Of those surveyed, 76 said that they had made at least one online purchase (a.) What is the parameter of interest in this study? (b.) Calculate the corresponding point estimate of the population proport
- Can you help with part b without using Chebyshev's theoremIn a random sample of 765 adults in the United States, 122 of them said if they had to cover a $400 emergency expense, they would need to use a credit card and pay it back over time. a. what is the parameter being estimated b. what is the sample proportion (must show work)A statistical program is recommended. Electric power consumption is measured in kilowatt-hours (kWh). The local utility company offers an interrupt program whereby commercial customers that participate receive favorable rates but must agree to cut back consumption if the utility requests them to do so. A certain company cuts back consumption at 12:00 noon Thursday. To assess the savings, the utility must estimate the company's usage without the interrupt. The period of interrupted service was from noon to 8:00 p.m. Data on electric power consumption for the previous 72 hours are available. Time Period 12-4 a.m. 4-8 a.m. (b) Compute 8-12 noon 12-4 p.m. 4-8 p.m. 8-12 midnight 41,310 Time Period 12-4 a.m. 4-8 a.m. 8-12 noon Monday 12-4 p.m. 4-8 p.m. 8-12 midnight 124,299 123,666 113,555 111,717 Seasonal Index 0.3262 0.4484 1.3647 Tuesday 1.6992 (a) Is there a seasonal effect over the 24-hour period? O No, the time series plot indicates a linear trend with no seasonal effect. O Yes, the…
- Using Excel Tablet’s hardness can be represented by its relative density and tensile strength. Studies have indicated that its tensile strength depends on the relative density, regardless of production shifts. Recently, a batch was found to produce cluster of tablets that show low relative density values of 68%, 74.3%, and 80.1%. Based on the current data in April 2022, what is the prediction of the tensile strength for such tablets? Present the requires analysis and comment on the validity of the model that you have used to carry out this prediction.Lecture(8.8): The amount of time people engage in physical activity mat be related to health outcome. Those who report that they spend more than 15 hours are put into one while those who spend less 10 were put into another group. (Those who fall in between 10 and 15 were left out of the study); The reaearcher then ask the participants to wear a monitor for one month. The average time in minutes is recorded and shown below . Is there any evidence that on average people who watch less than 10 hours watching televsion spend more time on physical activity.?. Test the hypotheses at (alpha=0.05) using the 5 step procedure <10 hours 75 63 118 35 82 >15 hours 62 6 78 43 22 33Iron-deficiency anemia is an important nutritional healthproblem in the United States. A dietary assessment wasperformed on 51 boys 9 to 11 years of age whose familieswere below the poverty level. The mean daily iron intakeamong these boys was found to be 12.50 mg with standarddeviation 4.75 mg. Suppose the mean daily iron intakeamong a large population of 9- to 11-year-old boys fromall income strata is 14.44 mg. We want to test whether themean iron intake among the low-income group is differentfrom that of the general population. Problem a) State the hypotheses that we can use to considerthis question.Problem b) Carry out the hypothesis test in Problem a using the critical-value method with an α level of 0.05, and summarize your findings. Problem c) What is the p-value for the test conducted in Problem b?