According to recent data the survival function for life after 63 is approximately given byS(x) = 1-0.052x-0.078x²where x is measured in decades. This function gives the probability that an individual who reaches the age of 63 will live at least x decades (10xyears), longer.a. Find the median length of life for people who reach 63, that is, the age for which the survival rate is 0.50.yeyears(Round to the nearest whole number as needed.)

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Answered: According to recent data the survival…

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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A patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with μ=140+5 mg/dl and σ=5+1 mg/dl. Using the Central Limit Theorem, determine the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured: Once? n=5+2 times n=5+4 times Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context.
Suppose a data set of 200 observations (n = 200) was analyzed using OLS to examine the relationship between CEO salary and various measures of firm performance. The regression results are as follows, with standard errors in parentheses: logy = 5 + 0.2logx₁0.03x₂ +0.002x3 (0.2) (0.04) (0.004) where? (0.009) y = CEO salary in thousands of dollars X₁ = annual firm sales X₂ = percentage of sales lost to competitors X3 = return on stock in percent R² = 0.290 Suppose you want to test the null hypothesis that percentage of sales lost to competitors has no ceteris paribus effect on the salaries of CEOS. For the one-sided alternative hypothesis ß₂ < 0 and 1% rejection rule (i.e., at the 1% level), you would_ the null hypothesis that ß₂ = 0.
The table below contains pulse rates after running for 1 minute, collected from a sample of females who drink alcohol. The mean pulse rate after running for 1 minute of females who do not drink is 97 beats per minute. Do the data show that the mean pulse rate of females who do drink alcohol is higher than the mean pulse rate of females who do not drink? Test at the 9% level. pulse rate after running one minute in bpm 80 139 71 100 75 86 128 78 99 72 80 145 106 82 83 185 92 5 151 107 129 62 72 64 44 106 71 122 124 58 102 128 132 110
A regression was run to determine if there is a relationship between hours of study per week (z) and the test scores (y)- The results of the regression were: y=ax+b a=5.701 b=31.89 r2=0.660969 r=0.813 Use this to predict the final exam score of a student who studies 3.5 hours per week, and please round your answer to a whole number. Question Help: Message instructor Submit Question rse here to search R
What test involves an analysis of rate of change in Y per single point increase in X and what is the “predictor”?
Researchers suspect that 18% of all high school students smoke at least one pack of cigarettes a day. At Wilson High School, with an enrolment of 300 students, a study found that 50 students smoked at least one pack of cigarettes a day. At a = 0.04, test the claim that 18% of all high school students smoke at least one pack of cigarettes a day.
mean(log X)= 3.4, Slogx = 0.136 and k=1.2, using the log Pearson Type III distribution. The magnitude of the 10 yr floods is إختر أحد الخيارات cfs 3657.6 .A O cfs 4570.7 .B cfs 2645.7 .CO cfs 1568.7 .DO
Question 23 > Suppose f(10) = 7 and g(10) = 3. %3D 1. (f – 9)(10) %3D 2. (fg)(10) = () 3. (10) A decimal is not an acceptable answer. 4. |(10) A decimal is not an acceptable answer. Submit Question
An individual’s income varies with his or her age. The following table shows the median income I of males of different age groups within the United States for 2012. For each age group, let the class midpoint represent theindependent variable, x. For the class “65 years and older,” we will assume that the class midpoint is 69.5. (a) Use a graphing utility to draw a scatter diagram of thedata. Comment on the type of relation that may existbetween the two variables.(b) Use a graphing utility to find the quadratic function ofbest fit that models the relation between age and medianincome.(c) Use the function found in part (b) to determine the age atwhich an individual can expect to earn the most income.(d) Use the function found in part (b) to predict the peakincome earned.(e) With a graphing utility, graph the quadratic function ofbest fit on the scatter diagram.
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How can I find this in excel and work it out ?

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