Key Concept Activity Lab Workbook For Path To College Mathematics
1st Edition
ISBN: 9780134618548
Author: Elayn Martin-Gay
Publisher: PEARSON
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Chapter B, Problem 19ES
To determine
Find the next number of the sequence using inductive reasoning.
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Suppose that a coin is tossed twice so that the sample space is S= {HH,
HT, TH, TT}. Let X represent the number of heads that can come up. With each
sample point we can associate a number for X as shown in Table. Thus, for example,
in the case of HH (i.e., 2 heads), X =2 while for TH (1 head), X = 1. It follows that
X is a random variable.
In the past century, the average annual rainfall in Austin is 35.2 inches with standard deviation
8.4 inches. The annual rainfall is assumed to be normal.
A student is going to record the annual rainfall in 15 different locations in Austin. In this
experiment, Determine the probability that the average annual rainfall will be between 34 to 36
inches. Round answer to four decimal places.
(a) In this experiment, the average annual rainfall follows a
of the sample average annual rainfall is
distribution with the mean
inches and the standard deviation of the sample
average annual rainfall is
inches.
(b) The probability that the average annual rainfall will be between 34 to 36 inches is
(a) The sample average annual rainfall follows a
distribution.
The mean of sample average annual rainfall is
The standard deviation of sample average annual rainfall is
(b) The requested probability is
inches.
(Four decimal places.)
inches.
The amount of paint required to paint a surface with an area of 50 m² is normally distributed
with mean 6 L and standard deviation 0.2 L.
(a) If 6.2 L of paint are available. What is the probability that the entire surface can be painted?
(Round answer to four decimal places.)
(b) How much paint is needed so that the probability is 0.9 that the entire surface can be
painted? (Round answer to one decimal place.)
(c) There are three rooms, each of which is 50 m² and needs to be painted. What is the
probability that all three rooms require less than 6 L of paint? (Round answer to four decimal
places.)
(a)
(b)
L
(c)
Chapter B Solutions
Key Concept Activity Lab Workbook For Path To College Mathematics
Ch. B - Determine whether each is an example of inductive...Ch. B - Prob. 2ESCh. B - Prob. 3ESCh. B - Prob. 4ESCh. B - Prob. 5ESCh. B - Prob. 6ESCh. B - Prob. 7ESCh. B - Prob. 8ESCh. B - Prob. 9ESCh. B - Prob. 10ES
Ch. B - Prob. 11ESCh. B - Prob. 12ESCh. B - Prob. 13ESCh. B - Prob. 14ESCh. B - Prob. 15ESCh. B - Prob. 16ESCh. B - Prob. 17ESCh. B - Prob. 18ESCh. B - Prob. 19ESCh. B - Prob. 20ESCh. B - Prob. 21ESCh. B - Prob. 22ESCh. B - Prob. 23ESCh. B - Prob. 24ESCh. B - Prob. 25ESCh. B - Prob. 26ESCh. B - Prob. 27ESCh. B - Prob. 28ESCh. B - Prob. 29ESCh. B - Prob. 30ESCh. B - Prob. 31ESCh. B - Prob. 32ESCh. B - Prob. 33ESCh. B - Prob. 34ESCh. B - Prob. 35ESCh. B - Give an example occurring outside the classroom...Ch. B - Prob. 37ESCh. B - Prob. 38ESCh. B - Prob. 39ESCh. B - Prob. 40ESCh. B - Prob. 41ESCh. B - Prob. 42ESCh. B - Prob. 43ESCh. B - Prob. 44ESCh. B - Prob. 45ESCh. B - Prob. 46ESCh. B - Prob. 47ESCh. B - Use diagrams and deductive reasoning to solve each...Ch. B - Prob. 49ESCh. B - Prob. 50ESCh. B - Prob. 51ESCh. B - Prob. 52ESCh. B - Prob. 53ESCh. B - Prob. 54ES
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- A sample of 1,000 people was asked how many cups of coffee they drink in the morning. You are given the following sample information. Cups of Coffee Frequency 200 0 1 300 2 350 3 150 1000 Total Frequencies The expected number of cups of coffee that each person drinks in the morning is O 1.0 1.45 1.65 1.5arrow_forward1. [10] Suppose that X ~N(-2, 4). Let Y = 3X-1. (a) Find the distribution of Y. Show your work. (b) Find P(-8< Y < 15) by using the CDF, (2), of the standard normal distribu- tion. (c) Find the 0.05th right-tail percentage point (i.e., the 0.95th quantile) of the distri- bution of Y.arrow_forwardSuppose that the cumulative distribution function of the random variable X is x 6) = (c) P(-1arrow_forward-x² The normal distribution has p(x) = e 2 determine the CDF in terms Erf, mean and standard deviation.arrow_forwardlet θ = 17π over 12 Part A: Determine tan θ using the sum formula. Show all necessary work in the calculation.Part B: Determine cos θ using the difference formula. Show all necessary work in the calculation.arrow_forwardFind the probability in tossing a fair coin four times, there will appear a) 3H and 1T b) 2T and 2H using binomial distribution and assume coin has p(H)=1/3.arrow_forward== 4. [10] Let X be a RV. Suppose that E[X(X-1)] = 3 and E(X) = 2. (a) Find E[(4-2X)²]. (b) Find V(-3x+1).arrow_forwardStudents were asked to prove the identity (sec x)(csc x) = cot x + tan x. Two students' work is given.Student AStep 1:1/Cos x * 1/sin x = cot x + tan xStep 2: 1/cos x sin x = cot x + tan xStep 3: (cos^2 x + sin^2 x)/cos x sin x = cot x + tan xStep 4: cos^2 x/cos x sin x + sin^2x/cos x sin x= cot x + tan xStep 5: cos x/sin x + sin x/cos x = cot x + tan xStep 6: cot x + tan x = cot x + tan xStudent BStep 1: sec x csc x = cos x/ sin xStep 2: sec x csc x = cos^2x/cos x sin x + sin^2x/cos x sin xStep 3: sec x csc x = cos^2x + sin^2x/cos x sin xStep 4: sec x csc x = 1/cos x sin xStep 5: sec x csc x = (1/cos x), (1/sin x)Step 6: sec x csc x = sec x csc xPart A: Did either student verify the identity properly? Explain why or why not. Part B: Name two identities that were used in Student A's verification and the steps they appear in.arrow_forward2. [15] Let X and Y be two discrete RVs whose joint PMF is given by the following table: y Px,y(x, y) -1 1 3 0 0.1 0.04 0.02 I 2 0.08 0.2 0.06 4 0.06 0.14 0.30 (a) Find P(X ≥ 2, Y < 1). (b) Find P(X ≤Y - 1). (c) Find the marginal PMFs of X and Y. (d) Are X and Y independent? Explain (e) Find E(XY) and Cov(X, Y).arrow_forwardLet sinθ = 2√2/5 and π/2 < θ < πPart A: Determine the exact value of cos 2θ.Part B: Determine the exact value of sin(θ/2)arrow_forwardThe joint pdf of random variables X=1, 2 and Y=1, 2, 3 is P(X,Y)= X 10.05 Find (a) The value of k. (c) P(X>1, Y <2). Y 0.2 0.18 0.15] (b) the marginal probability function of X and Y. (d) Ex, Hyarrow_forwardThe conditional probability function for the random variables X and Y is 0 P(Y/X) = x0 [0.9 10.1 y 1 2 0.1 0 0.8 0.1 2 0 0.1 0.9. With P(x=0)=0.2, P(x-1)=0.4. Find P(X,Y), Hx, My, E(XY), OXY.arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_ios
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