6 If the mean Hemoglobin concentration of a sample of patients is 10 g/dL andtheir variance is 100 g/dL, so this sample hasSoa) Normal distributionb) Non-normal distribution=10c) A SD which equals 100d) A Mean which equals its mediane) A mode equals 307 Square root of variance is called:(a) Standard deviation(b) Standard error(c) Mean deviation(d) Range(e) Interquartile range100√ varia SD

6. The mean hemoglobin concentration of a sample of patients is µ = 10 g/dL.

Answered: 6 If the mean Hemoglobin concentration…

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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4. It is known that the average weight of babies born in a maternity ward is 3.2 kg and the variance of 0.09 kg 2corresponds to the normal distribution. According to this; a) Assuming that an average of 200 babies are born a day, how many of these babies weigh more than 4 kg? b) What weight is the lightest 5% lighter than babies?
According to a study, BMI among men aged 16-61 in the world follows a Normal distribution with mean 25.27 kg/m2 and variance 15.36 (kg/m2)2. What proportion of men have BMI less than 3O kg/m2 (obesity line)? Round to 4 decimal digits.
6) A normal distribution has mean 500 and variance 2500. Find the area under the normal curv the mean to 600.
3. The ages of expectant parents at Huntsville Women's and Children's Hospital can be approximated by a bivariate normal distribution with parameters uz = random variable X corresponds to the age of the pregnant woman and the random variable Y corresponds to the expectant father. Determine a) the percentage of pregnant women who are over 30 28.4, ơx = 6.8, µy = 31.6, ơy = 7.4, and p = .82. The %3D b) the percentage of pregnant women who are over age 30 whose husbands (or baby daddy) are aged 35.
Suppose steel wires have the tensile strength represented by a normal distribution with mean value equal to 5000N and standard deviation equal to 150N. Knowing that these wires will be used in the manufacture of a steel cable to be mounted on the boom of a crane, what should be the number of wires to be used in the manufacture of this cable so that the probability of the cable breaking with a load less than 50,000N is 2%?What would be the safety factor associated with this probability of failure?Suppose the resistance of the cable is expressed by the sum of the resistance of the wires that make it up.
Suppose the current measurements made on a conductor wire track follow a normal distribution with mean 10 milliamperes and variance 4 (milliamperes)^2 a) what is the probability that the value of a measurement is less than 9 milliamperes? b) what is the probability that the value of a measurement is greater than 13 milliamps? c) what is the probability that the value of a current measurement is between 9 and 11 milliamperes?
Say you have two sets of data X1, ..., X10 and Y1,..., Y40. All of this data is considered independent. The first set of data are Normally distributed with mean B and variance 10. The second set of data are Normally distributed with mean y and variance 10. We are trying to estimate 0 = X = X; 18 + y. Consider the estimate ô = }X + Ÿ where 3 4 iX + Y where 10 vi=1 1 10 and Y = E Y;? 40 vi=1 40 (a) What is the mean, variance and distribution of 0? (b) What is the probability that 0 is larger than 1 away from 0? (c) What is the bias, variance and MSE of the estimate 0 for estimating 0?
The life span of a certain wood cutting machine manufactured by a factory has a normal distribution with a guarantee that any machine that stars malfunctioning within 36 months of the purchase will be replaced by a new one. How many percentages of machines are expected to be replaced in the following cases? Mean of 60 months and variance of 64 months2 Mean of 45 months and variance of 36 months2 Mean of 75 months and variance of 16 months2
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The weight of a male bald eagle has approximately a normal distribution with mean ?= 7.4 pounds and a standard deviation of ?= 1.6 pounds. Suppose we take a random sample of n=64 male bald eagles. Let X̄ be the random variable representing the mean weight in pounds of the 64 sampled male bald eagles. Let Xtot be the random variable representing sum of the weights of the 84 sampled bald eagles. a) About what proportion of male bald eagles have weights between 7.0 and 7.8 pounds? b) About what proportion of male bald eagles have weights greater than 7.8 pounds? c) About how many of the 64 sampled male bald eagles would you expect to have weight greater than 7.8 pounds? (nearest integer)? d) About how many of the 64 sampled male bald eagles would you expect to have weight between 7.0 and 7.8 pounds? (nearest integer)? e) What is the standard deviation of the distribution of X̄ (in pounds)? f) What is the standard deviation of the distribution of Xtot (in pounds)? g) What is the…

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