For any problem where you use a preprogrammed TI function, you must writedown which function you use (complete name, not just something like"normal" because there are multiple normal functions), what values you enter(in order), and what the calculator produces. Round all probabilities to at leastfour decimal places.According to an article in the Journal of Anatomy (May, 2013), the ratio of thelength of a person's femur to the length of their tibia averages 1.23. Supposethis ratio is approximately normal with a mean of 1.23 and a standarddeviation of sigmasigma0.031b11.25c11.2187c21.266d190beta4.95f2e1f13.564 6.1875 14.058g125.7g270.9h133.47a. Sketch a normal curve, mark the mean and the locations that are one, two, and three standarddeviations to each side of the mean, and provide the values at those locations. According to theEmpirical Rule, what are the endpoints of the interval that contains the middle 68% of all of theaforementioned ratios?h258.06

The question is about normal distribution Given : Popl. mean of ratio of length of femur to the…

Answered: For any problem where you use a…

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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Researchers often rely on surveys to capture a subjective assessment of well-being. One study finds that holding everything else constant, people seem to be least happy when they are in their 40's. Another study suggests that money does buy happiness, but its effects diminishes as income rises above $75000 a year. The accompanying data file includes survey daa of 100 working adults' self-assessed happiness on a scale of ) to 100, along with their age and annual income. Estimate and interpret a regression model based on Age, Age 2 and income. Predict happiness with income equal = to $80000 and age equal to 30, 45, and 60 Years Predict happiness with Age equal = to 60 and income equal to 25,000, 75000, and 125000 Happiness Age Income 69 49 52000 83 47 123000 86 72 112000 73 52 166000 89 68 90000 81 37 152000 75 48 58000 56 48 50000 75 56 93000 57 51 27000 77 60 173000 83 55 173000 85 75 68000 82 69 157000 63 39 40000 70 66 107000 78 34 109000 53…
Suppose that the length of long distance phone calls, measured in minutes, is known to have an exponential distribution with the average length of a call equal to $24 minutes. The 16th percentile is a phone call that lasts minutes.
The Transylvania hypothesis claims that the full moon has an effect on health-related behavior. A study investigating this effect found a significant relationship between the phase of the moon and the (x-4) + 100 where y is the number of consultations as a percentage of the daily mean and x is the days since the last full 15.12 number of general practice consultations nationwide, given by y = 1.9 cos moon. a. What is the period of this function? What is the significance of this period? The period is days. (Round to two decimal places as needed.) Choose the correct meaning of the period p in the context of the problem. The x-distance between the maximum and the minimum of the graph is p. Every p days there is a full moon. There were p% more consultations when there was a full moon. The average number of daily consultations is p. b. If there was a full moon on April 7, on what day in April does this formula predict the maximum number of consultations? What percent increase would be…
Question D. Give a 95% interval estimate of the number of fatal accidents per 1000 licenses in a city where 15% of the licensed drivers are under 21. Same data set as above.
From the following data of the daily wage of 500 workers of a factory find the number of workers : (a) whose wages are more than $ 370 but not more than $ 400. (b) whose wages are less than $ 370 but not less than $ 350. Wages not exceeding $ 300 =150 workers Wages not exceeding $ 350 = 180 workers Wages not exxceeding $ 400 = 240 workers Wages not exceeding $ 450 = 400 workers Wages not exceeding $ 500 = 500 workers
I need help learning how to solve this with a TI-84 calculator and a table of normal values. No excel or R please.
The Law of Large Numbers states that as the number of observations in a sample increases, the mean of this is sample becomes a. exactly equal to the mean. b. closer and closer to the population mean. c. close to 0. d. further and further from the population mean.
Suppose you are told your BMI is 32, the 70th percentile for your age and sex. Please interpret this percentile age: 28 Female
IQ tests supposedly measure our intelligence. They typically are ‘normed’ so that they have a mean of 100 and a standard deviation of 15. (Higher scores show higher intelligence.) Use the graph and use the z-score and percents from columns b and c in Table A, when relevant. If you scored 132, what is your z-score? (Interpret.) Use table A X, z(a), (b), and (c) X z (a) (b) (c) and use the graph! Write down or save your response to use in Part 2 of this quiz. Group of answer choices -2.53 z. I'm at the 98.34 percentile rank and 1.66% of people scored smarter than me. 2.13 z. I'm at the 98.34 percentile rank and 1.66% of people scored smarter than me. -2.13 z. I'm at the 1.66 percentile rank and 98.34% of people scored smarter than me. 2.53 z. I'm at the 0.57 percentile rank and 99.43% of people scored smarter than me. 2.13 z. I'm at the 1.66 percentile rank and 98.34% of people scored smarter than me. 2.53 z. I'm at the 99.43 percentile rank…
KINDLY SOLVE THESE 4 QUESTIONS (41/42/43/44) . BECAUSE all are interconnected So kindly solve all these 4 questions.All details are given .Thanks in advance .
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