a. Describe in words what features mostof the frequency distributions ofactual survival times have incommon, based on the box plots foreach group.b. Describe the differences in shape ofactual survival time distributionsbetween those for 1 to 5 monthspredicted survival times and those for6 to 24 months.c. Describe the trend in median actualsurvival time with increasingpredicted number.d. The predicted survival times ofterminally ill cancer patients tend tooverestimate the medians of actualsurvival times. Are the means of actualsurvival times likely to be closer to,further from, or no different from thepredicted times than the medians?Explain. 19. Accurate prediction of the timing ofdeath in patients with a terminal illnessis important for their care. Thefollowing graph compares the survivaltimes of terminally ill cancer patientswith the clinical prediction of theirsurvival times (data from Glare et al.2003).15234 5 67-9 10-12 13-24Clinical prediction (months)Whitlock & Schluter, The Analysis of Biological Data, 3e© 2020 W. H. Freeman and CompanyI I|II III ||5.Actual survival (months)

Answered: a. Describe in words what features most…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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On occasion, medical studies need to model the proportion of the population that has a disease and compare that to observed frequencies of the disease actually occurring. Suppose the end-stage renal failure in south-west Wales was collected for different age groups. Do the data in the table show that the observed frequencies are in agreement with proportion of people in each age group? Test at the 1% level. Renal Failure Frequencies Age group 16-29 30-44 45-59 60-74 75+ Total Observed Frequencies 125 152 134 124 48 583 Expected Proportion 0.23 0.25 0.22 0.21 0.09 State the hypotheses.H0: The observed frequencies in agreement with proportion of people in each age group.Ha: The observed frequencies in agreement with proportion of people in each age group. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to 3 decimal places.χ2 = Calculate the p-value. Round to 3 decimal places.p-value = State your decision.Since p-value α,…
Listed below are the measured radiation emissions (in W/kg) corresponding to cell phones: A, B, C, D, E, F, G, H, I, J, and K respectively. The media often present reports about the dangers of cell phone radiation as a cause of cancer. Cell phone radiation must be 1.6 W/kg or less. Find the a. mean, b. median, c. midrange, and d. mode for the data. Also complete part e. 0.32 1.49 1.41 0.27 1.08 0.77 0.55 0.22 1.17 1.28 1.06 a. Find the mean. The mean is (Round to three decimal places as needed.) ... n
4. Given the following observations from a population, calculate the mean, the median, and the mode. 20 15 25 20 10 15 25 20 15
A manufacturer of exercise equipment wanted to collect data on the effectiveness of their equipment. A magazine article compared how long it would take men and women to burn 200 calories during light or heavy workouts on various kinds of exercise equipment. The results summarized in the accompanying table are the average times for a group of physically active young men and women whose performances were measured on a representative sample of exercise equipment. Assume normality of the population. Complete parts (a) through (c) below. Click the icon to view the data table. C a) On average, how many minutes longer than a man must a woman exercise at a light exertion rate in order to burn 200 calories? Find a 95% confidence interval. minutes (Round to one decimal place as needed.) b) Estimate the average number of minutes longer a woman must work out at a light exertion than at heavy exertion to get the same benefit. Find a 95% confidence interval. (₁) minutes (Round to one decimal place…
For each of the following charts: stem-and-leaf diagram, box-and-whisker diagram,bar chart and histogram, indicate whether or not the chart would be suitable forpresenting the data displayed in Table 1 above. Give reason for your answer and calculate the mean employees’ morale , the median and the mode
The figure below shows relative frequency histogram for 50 employees working in a small construction company classified according to their years of experience. While x-axis represents the class midpoints of experience years, y-axis represents relative frequency for the employees. The value of variance for the years of :experience is between Relative Frequency for Employees 0.45 04 0.35 0.3 0.25 0.2 0.15 0.1 0.05 7.5 Relative Frequency Chart 13.5 19.5 Class Midpoints of Experience Years 25.5 32-34 O 40-42 O 12-14 O 20-22 O 52-54 O
Shape of the distribution of data can be visually assessed using which plot(s)? a. boxplot b. histogram c. scatterplot d. all of the above Potential confounders are issue in the following type of study design. a. Observational cohort studies b. Case-control studies c. Both observational cohort and case-control studies Subjects are recruited to take part in a study examining the effect of a new therapy to aid with smoking cessation for persons who smoke cigarettes. If a subject is followed until he/she stops smoking, their survival time is: a. Censored b. Excluded from the analysis c. Uncensored d. Survival time is zero, since the subject had the event of interest
10. Consider the box plot shown below: 2 4 6 8 10 12 14 16 a. What is the median of the data set? b. What are the upper and lower quartiles of the dataset? c. What is the interquartile range of the dataset? d. Is the data set skewed to the left, skewed to the right, of symmetric? e. What percentage of the observations in the data set lie to the right of the median? To the left of the upper quartile?
Please, I want to solve question 8-9 only. Please
The histogram for data is attached: Does it form a bell shaped curve? explain what this means and how it applies.
provide an interpretation of the the plots presented here. what do you learn about the data distribution? do any possible concerns emerge? Then, in two paragraphs, continue with an elaboration on the controlling idea, perhaps with an explanation, implication, or statement about significance.
Listed below are the measured radiation emissions (in W/kg) corresponding to cell phones: A, B, C, D, E, F, G, H, I, J, and K respectively. The media often present reports about the dangers of cell phone radiation as a cause of cancer. Cell phone radiation must be 1.6 W/kg or less. Find the a. mean, b. median, c. midrange, and d. mode for the data. Also complete part e. 0.45 0.77 0.72 0.68 1.53 1.28 0.75 0.99 0.55 0.56 1.12 --..- a. Find the mean. The mean is . (Round to three decimal places as needed.)

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