This preview shows pages 1–9. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: Print Test K Page 1 of 9 PRINTABLE VERSION Practice Test 4 i 5?:
Questionl . Given P(EC) = 0.47, P(F) = 0.56, and P(EhF) = 0.16. Find P(Ech). i :0 (9.6.6607 C) i .3? H
b) 0.7872 Fc) .q + c) 0.4805
d) 0.8409 ' Z e) a» 0.2857 i) (6% None of the above. Questlon 2 F Two cards are drawn without replacement from a wellshufﬂed deck of 52 playing cards. What is the ; probability that the ﬁrst card drawn is a 4 and the second card drawn is a 5? t a) 65 0.1554 LI 0
1, 650.0045 '—— i .1: ,ODQ,
)' 52. SI
c) 0.1569
d) 0.0060 e) 0.0059 f) None of the above. Question 3 A pair of fair dice is cast. What is the probabiliy that one of the numbers falling uppermost is a 5,
given that the two numbers falling uppermost are different? a) (90.9091 ‘ “3/39 0.;933 b) 0.3667 z " 3%(0 https://assess‘ment.casa.uh.edu/Assessment/PrintTest.htm 1 1/24/2008 Print Test Page 2 of 9 c) 0.2778
d) 0.3333
e) 0.3056 1) None of the above. m: «m  W “W F —~. m r Question 4 14 black balls and 6 white balls are placed in an urn. Two balls are then drawn in succession. What is .
the probability that the second ball drawn isa white ball if the second ball is drawn without replacing the ﬁrst ball? f) None of the above.
Question 5' Urn A contains 11 yellow balls and 4 red balls. Urn B contains 4 yellow balls and 5 red balls. Urn C 3 contains 7 yellow balls and 6 red balls. An urn is picked randomly (assume that each urn is equally ' E likely to be chosen), and then a ball is picked from the selected urn. What is the probability that the 1
; chosen ball came from urn B knowing that it was a yellow ball? $5 ( W 3 b) 0.2590 “ks é(B 4' c), 0.3137 7 '  ‘Is A . , _
d) 630.0858 /( I32 nix! z. w
e) 0.0780 kc l—eY f) None of the above. W. m... m M m n1;— ‘3: u r a, Question 6 https://assessment.casa.uh.edu/Assessment/PrintTest.htm 1 1/24/2008 Print Test E:
i Question 7 ' églf the racetrack publishes that the odds in favor of a horse winning a race are 7 to 9, what is Page 3 of 9 John is interested in purchasing a multiofﬁce building containing ﬁve ofﬁces. The current owner
provides the following probability distribution indicating the probability that the given number of ofﬁces will be leased each year. E If each yearly lease is $12,000, how much could John expect to collect in yearly leases for the Whole
building in a given year?(in dollars) .0 @342 3441M b) E(X) = $39,576.36 =2 6.36
333x mm  £61 ,63030 c) E(X)=$39,636.36
d) E(X) = $39,676.36
e) E(X) = $39,736.36 f) None of the above. A probability distribution has a mean of 22 and a standard deviation of 2. Use Chebychev's
inequality to estimate the probability that an outcome of the experiment lies between 13 and 31. a) 0.2222 y“ 22
6" '5 2 d). 0.0083 ,
e) 0.9917 Kgb &q‘\o~w Hf) None of thenabove. “ti—01F? . b) 0.9506 c) 0.0494 probability that the horse will not win the race? 9 $4035.61} M https://aSsessment.casa.uh.edu/Assessment/PrintTest.htm 1 1/24/2008 3;
H + 3022) Print Test Page 4 of 9 b) 0.0159
c) 0.4375
d) 0.1429
c) 0.5625 1) None of the above. . m Question 9 I The probability distribution of a random variable X is given below. . Given the mean 0:583 i Find the variance (Var(X)) and the standard deviation, respectively. b) [98.74, 9.94]
+ %[ 09.83)’+ 3. c) [13.59,3.69] 2.‘
d) [63.44, 7.97] “i r5513
e) [1379.003713] q— : 5W“) t is ‘c’q i 1) Wm
Questlon 10 ' Consider the following Binomial Experiment: The probability that a cell phone manufactured at
; Electronics Unlimited is defective is 0.11. If a sample of 8 cell phones is selected at random, What is
E theprobability that at least ,1 is defective? : ::::::: 2,228.1 H9999
) p o 8
c) 00.6063 w: “I d) 03937 3' https://assessment.casa.uh.edu/Assessment/PrintTesthtm 1 1/24/2008 None of the above. Print Test Page 5 of 9 e) 0.3504 1) None of the above. Question 11 Consider the following binomial experiment. A survey shows 81% of households in Centercity own
a DVD player. In a random sample of 22 households in this city, what is the probability that exactly 17 households own a DVD player? 01809 : ob} b . ’ «Lam :: .181 520»
c) 0.1816 e) 0.1811 1) None of the above. f Consider the following binomial experiment. A newspaper publisher claims that 63% of the people
i in a certain community read his newspaper. Doubting the assertion, a competitor randomly surveys
5 246 people in the community. Find the standard deviation of this experiment, if the newspaper publisher's claim is correct. b) 7.4725 “rm
= f) None of the above. c) 7.7725
d) 7.1725 7 e) 7.3725 ... W i42fmf’fTiff W mxmmxm Question 13 , Let Z be a standard normal variable. Find P(Z > 2.99). '2: a) 0.0013 https://assessment.casa.uh.edu/Assessment/PrintTest.htm 1 1/24/2008 Print Test Page 6 of 9 b) 0.9981 d) 0.0019
e) 0.0014 1) None of the above. WWW w .9 V .r «mm—« m .—— ~«—~ ~——»  m «M — »— . “mmv. 9» . ~ . a v .. Question 14 Let Z be a standard normal variable. Find P(—0.86 < Z < 2.25). b) 0.7898 d) 0.7884 e) 0.7742 t) None of the above. ,..,............_‘__..........................~...w.. W W a nw— a... Question 15 Let Z be a standard normal variable. Find the value of 2 if 2 satisﬁes P( —z < Z < z) = 0.8788. d) 1.50 i e)®'l.55 {6‘3qu 0 1) None of the above. % '2'— ‘ ) Question 16 i Let Z be a standard normal variable. Find the value of 2 if 2 satisﬁes P(Z > z) = 0.0048. , P ,. https://assessment.casa.uh.edu/Assessment/PrintTest.htm 1 1/24/2008 Print Test Page 7 of 9 a) 2.50
b) 2.59
c) 2.50
d) 2.58 e) 3.00 1) None of the above. WWW Question 17 ‘ Suppose X is a normal random variable with land ? Find P(X > 20.2). b) 0.8389 c) 0.1841 '7 :6”)
d) 0.1611 : POE4 A?) e) 0.8159 1) None of the above. x chm m mmm Question 18 ‘ Endure All, a manufacturer of batteries claims that the lifetime of their batteries is normally
= distributed with a mean of 500 hours and a standard deviation of 40 hours What is the probability
a that an Endure All battery selected at random willlast more than 529 hours? ’ ‘ ' ' :1 H? We 4’8 >L 3°) 2 H717 .113) : P(Z<“’°r?>)= https://assessment.casa.uh.edu/Assessment/PrintTest.htm 1 1/24/2008 Print Test Page 8 of 9 d) 0.7642
e) 0.7580 f) None of the above. Question 19 t Use the normal distribution to approximate the following binomial distribution. You claim that 73%
of the voters in your district will vote for you. If the district has 350 voters, What is the probability that at least 273 will actually vote for you? __ b) 00207 . _.P(2>212 531955 U :W
" " ' 12m 2 _
c) 0.0202 ' ' ._ 3‘35 Mngilﬁ d) (5 0.0228 213 t: : 83054.sz e) g 09:02 1) None of the above. '7' yn—ln! m. 2“... m... M m .V...._....._...............m..e..w. m H .. .. “.7. . . ,. ,. . ._..__._v...r..e.._v.,,. .. . __ Question 20 § Use the normal distribution to approximate the following binomial distribution. A convenience store
3, owner claims that 55% of the people buying from her store, on a certain day of the week, buy coffee
during their Visit. A random sample of 35 customers is made. If the store owner's claim is correct,
; what is the probability that fewer than 21 customers in the sample buy coffee during their Visit on
2 that certain day of the week? .5 3‘5 t '25  “54%” :53 la": (+6)
b) (3 0.6628 V o \h _?[14 0 5l ) n
A :M‘tszlzsgl c) 0.598? 7;, K
'2 12:4 A?)
d) 0.6915 ? e) 07435 https://assessment.casa.uh.edu/Assessment/PrintTest.htm 1 1/24/2008 Print Test ‘ Page 9 of 9 https://assessment.casa.uh.edu/Assessment/PrintTest.htm 1 1/24/2008 ...
View
Full
Document
This note was uploaded on 10/20/2009 for the course MATH 1313 taught by Professor Constante during the Spring '08 term at University of Houston.
 Spring '08
 CONSTANTE
 Math

Click to edit the document details