Results from a fixed cohort study of 1,000 cancer survivors are shownbelow. The plot was deemed technically correct by a group of experts.The 5-year cumulative incidence of death was 80%.Survivala. Does this analysis use the life table or Kaplan-Meier approach toestimation of incidence? Explain your answer.10.9-0.8-0.70.6-0.5-0.4-0.30.2-0.1000.511.522.5Time (years)33.544.55

Given the graph of the results from a fixed cohort study of 1000 cancer survivors.

Answered: Results from a fixed cohort study of…

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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You take a survey that is supposed to measure whether you are an extrovert or not. The score you get on the extrovert survey is a z-score of 2.0. What does that mean about your level of extraversion compared to the average score?
Explain the findings of this crosstab, including a description of the table, a calculation of the epsilons, and a discussion of the 10% rule. Explain what the output of the measure of association means in terms of strength and direction of the relationship. Interpret Proportional Reduction of Error (PRE) using the following statement: Knowing the IV will reduce error in predicting the DV by *%.
ge 2: Has the proportion of Americans that are "20-somethings" decreased? According to the US Census Bureau, 14.8% of Americans living in 2004 were "20- somethings" (between ages 20 and 29). You take a random sample of 500 Americans and find that 59 of them fall in this age range. Has the proportion of Americans ages 20-29 decreased from what it was in 2004? for this problem (z-test or t-test).
News reports speak of an emerging crisis of childhood obesity in the United States. The National Health and Nutrition Examination Survey (NHANES) is a government survey run every several years recording a number of vital statistics on a random sample of Americans. A body mass index (BMI) is computed for each individual in the sample based on the individual's height and weight. Here are sample results for 8-year-old boys over the past 40 years. The table gives the sample size for 3 different surveys, the sample mean and sample standard deviation. Suppose we want to run an ANOVA to see if there is a difference in mean BMI for the three surveys. Assume each survey is a random sample and there are no extreme outliers.What is the sample standard deviations for each survey? ...the NHES II study? ...the NHANES II study? ...the NHANES study?
otected View - Saved to this PC Search View Help 12. The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for of the ordinance. Is there a statistically significant relationship between age and support for the anti-smoking law? Use the five step model as a guide and write a sentence or two interpreting your results. support Age More than 40 Less than 40 Support: For 145 78 223 Against 103 248 169 247 272 495 A. Use probabilities to determine if these two variable are independent or dependent P (Less than 40) 3D P(Less than 40 | For)= P(Less than 40| Against) = Are age and support for the anti-smoking law independent? (Yes independent/No = not independent) B. Conduct a hypothesis test using an alpha of .05 that these variables are i
The data represents the heights of eruptions by a geyser. ← Use the heights to construct a stem and leaf plot. Is there strong evidence suggesting that the data are not from a population having a normal distribution? Which plot represents a correct stem and leaf plot of the data? O A. 910 10 0 1 3 689 110034 12 0 0 1 13 0 0 0 1 14 0 15 0 OB. 9/0 ⒸA. 6 B. 1 OC. 4 OD. 5 10 0 1 11 00001 12 03 6 89 13 0 0 3 4 14 01 15 0 O C. 9|001 10 0 18 11 0 0 3 12 0 0 9 13 0 0 6 14 034 15 0 1 If there were a 200 foot eruption, how many stems would it add to the chart above? Save Height of eruption (in.) 128 90 110 150 140 110 100 130 110 123 134 111 110 126 129 120 133 130 101 141 ww Incor
Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. The data is reported to the right. Complete parts (a) through (d) below. Click the icon to view the critical values table. 1,080,000- 780,000 MRI 130 145 (a) Draw a scatter diagram treating MRI count as the explanatory variable and IQ as the response variable. Choose the correct diagram below. OA. Q Q OB. AMRI 1,080,000- 780,000 130 IQ 145 COLO Q Q SCIER O C. AIQ 145+ 130 780,000 Females MRI IQ 866,662 130 857,782 133 MRI IQ 935,494 141 1,079,550 141 852,244 132 1,001,121 140 951,545 137 955,466 133 790,619 135 1,038,438 139 MRI Males 1,080,000 C D. 145 AIQ 130- 780,000 MRI 1,080,000 Q (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to…
The point estimate of true population proportion x=5, n = 10
Answer and show complete solution. Pls don't rejectIn a study on the settlement of piles used in building foundations, data on the observed pile settlement were collected and compared with the calculated/estimated values. The ratio of the observed to the calculated settlements is a measure of the accuracy of the calculation method. The ratios are shown in the table below and as can be observed, it shows considerable variability: Ratios of Observed Settlement to Calculated Settlement of Piles 0.12 0.97 0.86 1.14 0.94 2.37 0.88 0.92 1.01 0.99 1.02 1.04 0.99 0.87 0.52 0.94 1.06 1.38 1.04 1.18 1 0.86 0.82 0.84 1.09 a. Assuming that the ratio is a normal random variable, construct a probability plot and observe if the data points follow a linear trend.
What do the box plots tell you about the variability of the data? a. A has greater variability because its median and mean are greater than B b. B has greater variability because its range and IQR are greater tha c. B has greater variability because its median & mean are greater than A d. A has greater variability because its range & IQR are greater than B
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.

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