ages, these erors are often very tortion, erors in measuring distances are often no larger than 000 s Assume that the probability of a serious measureent error is .05, A soch. 150 independent measurements are made, Let X denote the number of serious negligible dis errors made. (a) In finding the probability of making at least one serious error., is the no mal approximation appropriate? If so, approximate the probability usine this method. (b) Approximate the probability that at most three serious errors will he made. 54.) Achemical reaction is run in which the usual yield is 70%. A new process has been devised that should improve the yield. Proponents of the new process claim that it produces better yields than the old process more than 90% of the time. The new process is tested 60 times. Let X denote the number of trials in which the yield exceeds 70%. (a) If the probability of an increased yield is .9, is the normal approximation appropriate? (b) If p = 9, what is E[X]? (c) If p>.9 as claimed, then, on the average, more than 54 of every 60 trials will result in an increased yield. Let us agree to accept the claim if X is at %3D CONTINUOUS DISTRIBUTIONS 149 least 59. What is the probability that we will accept the claim if p is really only .9? (d) What is the probability that we shall not accept the claim (X < 58) if it is true, and p is really .95? 55. Opponents of a nuclear power project claim that the majority of those living near a proposed site are opposed to the project. To justify this statement, a ran- dom sample of 75 residents is selected and their opinions are sought. Let X de- note the number opposed to the project. (a) If the probability that an individual is opposed to the project is .5, is the normal approximation appropriate? (b) If p = .5, what is E[X]? (c) If p > .5 as claimed, then, on the average, more than 37.5 of every 75 in- dividuals are opposed to the project. Let us agree to accept the claim if X is at least 46. What is the probability that we shall accept the claim if p is really only .5? (d) What is the probability that we shall not accept the claim (X < 45) even though it is true and p is really .7? 56. (Normal approximation to the Poisson distribution.) Let X be Poisson with parameter As. Then for large values of As, X is approximately normal with mean As and variance As. (The proof of this theorem is also based on the Cen- tral Limit Theorem and will be considered in Chap. 7.) Let X be a Poisson random variable with parameter As = 15. Find P[X < 12] from Table II of App. A. Approximate this probability using a normal curve. Be sure to employ the half-unit correction factor. 57. The average number of jets either arriving at or departing from O’Hare Air- port is one every 40 seconds. What is the approximate probability that at least 75 such flights will occur during a randomly selected hour? What is the prob- fower than 100 such flights will take place in an hour? do.gobtam
Family of Curves
A family of curves is a group of curves that are each described by a parametrization in which one or more variables are parameters. In general, the parameters have more complexity on the assembly of the curve than an ordinary linear transformation. These families appear commonly in the solution of differential equations. When a constant of integration is added, it is normally modified algebraically until it no longer replicates a plain linear transformation. The order of a differential equation depends on how many uncertain variables appear in the corresponding curve. The order of the differential equation acquired is two if two unknown variables exist in an equation belonging to this family.
XZ Plane
In order to understand XZ plane, it's helpful to understand two-dimensional and three-dimensional spaces. To plot a point on a plane, two numbers are needed, and these two numbers in the plane can be represented as an ordered pair (a,b) where a and b are real numbers and a is the horizontal coordinate and b is the vertical coordinate. This type of plane is called two-dimensional and it contains two perpendicular axes, the horizontal axis, and the vertical axis.
Euclidean Geometry
Geometry is the branch of mathematics that deals with flat surfaces like lines, angles, points, two-dimensional figures, etc. In Euclidean geometry, one studies the geometrical shapes that rely on different theorems and axioms. This (pure mathematics) geometry was introduced by the Greek mathematician Euclid, and that is why it is called Euclidean geometry. Euclid explained this in his book named 'elements'. Euclid's method in Euclidean geometry involves handling a small group of innately captivate axioms and incorporating many of these other propositions. The elements written by Euclid are the fundamentals for the study of geometry from a modern mathematical perspective. Elements comprise Euclidean theories, postulates, axioms, construction, and mathematical proofs of propositions.
Lines and Angles
In a two-dimensional plane, a line is simply a figure that joins two points. Usually, lines are used for presenting objects that are straight in shape and have minimal depth or width.
#54 part c and d
![ages, these erors are often very
tortion, erors in measuring distances are often no larger than 000 s
Assume that the probability of a serious measureent error is .05, A soch.
150 independent measurements are made, Let X denote the number of serious
negligible dis
errors made.
(a) In finding the probability of making at least one serious error., is the no
mal approximation appropriate? If so, approximate the probability usine
this method.
(b) Approximate the probability that at most three serious errors will he
made.
54.) Achemical reaction is run in which the usual yield is 70%. A new process has
been devised that should improve the yield. Proponents of the new process
claim that it produces better yields than the old process more than 90% of the
time. The new process is tested 60 times. Let X denote the number of trials in
which the yield exceeds 70%.
(a) If the probability of an increased yield is .9, is the normal approximation
appropriate?
(b) If p = 9, what is E[X]?
(c) If p>.9 as claimed, then, on the average, more than 54 of every 60 trials
will result in an increased yield. Let us agree to accept the claim if X is at
%3D](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc074fc7e-4e48-46f1-bfc4-aee6ba4e6262%2Ffc2c6c33-99d1-4219-923a-6476525c2d18%2Fc3guu6.jpeg&w=3840&q=75)
![CONTINUOUS DISTRIBUTIONS 149
least 59. What is the probability that we will accept the claim if p is really
only .9?
(d) What is the probability that we shall not accept the claim (X < 58) if it is
true, and p is really .95?
55. Opponents of a nuclear power project claim that the majority of those living
near a proposed site are opposed to the project. To justify this statement, a ran-
dom sample of 75 residents is selected and their opinions are sought. Let X de-
note the number opposed to the project.
(a) If the probability that an individual is opposed to the project is .5, is the
normal approximation appropriate?
(b) If p = .5, what is E[X]?
(c) If p > .5 as claimed, then, on the average, more than 37.5 of every 75 in-
dividuals are opposed to the project. Let us agree to accept the claim if X
is at least 46. What is the probability that we shall accept the claim if p is
really only .5?
(d) What is the probability that we shall not accept the claim (X < 45) even
though it is true and p is really .7?
56. (Normal approximation to the Poisson distribution.) Let X be Poisson with
parameter As. Then for large values of As, X is approximately normal with
mean As and variance As. (The proof of this theorem is also based on the Cen-
tral Limit Theorem and will be considered in Chap. 7.) Let X be a Poisson
random variable with parameter As = 15. Find P[X < 12] from Table II of
App. A. Approximate this probability using a normal curve. Be sure to employ
the half-unit correction factor.
57. The average number of jets either arriving at or departing from O’Hare Air-
port is one every 40 seconds. What is the approximate probability that at least
75 such flights will occur during a randomly selected hour? What is the prob-
fower than 100 such flights will take place in an hour?
do.gobtam](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc074fc7e-4e48-46f1-bfc4-aee6ba4e6262%2Ffc2c6c33-99d1-4219-923a-6476525c2d18%2Fot8s4g.jpeg&w=3840&q=75)
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