Suppose that you have 8 cards. 5 are green and 3 are yellow. The 5 green cards are numbered 1, 2, 3, 4, and 5. The 3 yellow cards are numbered 1, 2, and 3. The cards are well shuffled. You randomly draw one card.
- GG = card drawn is green
- EE = card drawn is even-numbered
- a. List the sample space.
- b. P(G) =P(G) =
- c. P(G|E) = P(G|E) =
- d. P(G AND E) = P(G AND E) =
- e. P(G OR E) =P(G OR E) =
- f. Are GG and EE mutually exclusive? Justify your answer numerically.
- a. {G1, G2, G3, G4, G5, Y1, Y2, Y3}{G1, G2, G3, G4, G5, Y1, Y2, Y3}
- b.
5
8
5
8
- c.
2
3
2
3
- d.
2
8
2
8
size 12{ { { size 8{2} } over { size 8{8} } } } {}
- e.
6
8
6
8
size 12{ { { size 8{6} } over { size 8{8} } } } {}
- f. No
Refer to the previous problem. Suppose that this time you randomly draw two cards, one at a time, and with replacement.
-
G
1
= first card is green
G
1
= first card is green
-
G
2
= second card is green
G
2
= second card is green
- a. Draw a tree diagram of the situation.
- b.
P
(
G
1
AND
G
2
)
=
P
(
G
1
AND
G
2
)
=
size 12{P \( G rSub { size 8{1} } " and "G rSub { size 8{2} } \) ={}} {}
- c.
P
(
at least one green
)
=
P
(
at least one green
)
=
size 12{P \( "at least one green" \) ={}} {}
- d.
P
(
G
2
∣
G
1
)
=
P
(
G
2
∣
G
1
)
=
size 12{P \( G rSub { size 8{2} } \lline G rSub { size 8{1} } \) ={}} {}
- e. Are
G
2
G
2
size 12{G rSub { size 8{2} } } {}
and
G
1
G
1
size 12{G rSub { size 8{1} } } {}
independent events? Explain why or why not.
Refer to the previous problems. Suppose that this time you randomly draw two cards, one at a time, and without replacement.
-
G1
G1
= first card is green
-
G2
G2
= second card is green
- a. Draw a tree diagram of the situation.
- b>. P(
G1
AND
G2
) = P(
G1
AND
G2
) =
- c. P(at least one green) =P(at least one green) =
- d. P(
G2
|
G1
) =P(
G2
|
G1
) =
- e. Are
G2
G2
and
G1
G1
independent events? Explain why or why not.
- b.
(
5
8
)
(
4
7
)
(
5
8
)
(
4
7
)
size 12{ \( { { size 8{5} } over { size 8{8} } } \) \( { { size 8{4} } over { size 8{7} } } \) } {}
- c.
(
5
8
)
(
3
7
)
+
(
3
8
)
(
5
7
)
+
(
5
8
)
(
4
7
)
(
5
8
)
(
3
7
)
+
(
3
8
)
(
5
7
)
+
(
5
8
)
(
4
7
)
size 12{ \( { { size 8{5} } over { size 8{8} } } \) \( { { size 8{3} } over { size 8{7} } } \) + \( { { size 8{3} } over { size 8{8} } } \) \( { { size 8{5} } over { size 8{7} } } \) + \( { { size 8{5} } over { size 8{8} } } \) \( { { size 8{4} } over { size 8{7} } } \) } {}
- d.
4
7
4
7
size 12{ { { size 8{4} } over { size 8{7} } } } {}
- e. No
Roll two fair dice. Each die has 6 faces.
- a. List the sample space.
- b. Let AA be the event that either a 3 or 4 is rolled first, followed by an even number. Find P(A)P(A).
- c. Let BB be the event that the sum of the two rolls is at most 7. Find P(B)P(B).
- d. In words, explain what “P(A|B)P(A|B)” represents. Find P(A|B)P(A|B).
- e. Are AA and BB mutually exclusive events? Explain your answer in 1 - 3 complete sentences, including numerical justification.
- f. Are AA and BB independent events? Explain your answer in 1 - 3 complete sentences, including numerical justification.
A special deck of cards has 10 cards. Four are green, three are blue, and three are red. When a card is picked, the color of it is recorded. An experiment consists of first picking a card and then tossing a coin.
- a. List the sample space.
- b. Let AA be the event that a blue card is picked first, followed by landing a head on the coin toss. Find P(A)P(A).
- c. Let BB be the event that a red or green is picked, followed by landing a head on the coin toss. Are the events AA and BB mutually exclusive? Explain your answer in 1 - 3 complete sentences, including numerical justification.
- d. Let CC be the event that a red or blue is picked, followed by landing a head on the coin toss. Are the events AA and CC mutually exclusive? Explain your answer in 1 - 3 complete sentences, including numerical justification.
- a.
{
GH
,
GT
,
BH
,
BT
,
RH
,
RT
}
{
GH
,
GT
,
BH
,
BT
,
RH
,
RT
}
size 12{ lbrace ital "GH", ital "GT", ital "BH", ital "BT", ital "RH", ital "RT" rbrace } {}
- b.
3
20
3
20
size 12{ { { size 8{3} } over { size 8{"20"} } } } {}
- c. Yes
- d. No
An experiment consists of first rolling a die and then tossing a coin:
- a. List the sample space.
- b. Let AA be the event that either a 3 or 4 is rolled first, followed by landing a head on the coin toss. Find P(A)P(A).
- c. Let BB be the event that a number less than 2 is rolled, followed by landing a head on the coin toss. Are the events AA and BB mutually exclusive? Explain your answer in 1 - 3 complete sentences, including numerical justification.
An experiment consists of tossing a nickel, a dime and a quarter. Of interest is the side the coin lands on.
- a. List the sample space.
- b. Let AA be the event that there are at least two tails. Find P(A)P(A).
- c. Let BB be the event that the first and second tosses land on heads. Are the events AA and BB mutually exclusive? Explain your answer in 1 - 3 complete sentences, including justification.
- a.
{
(
HHH
)
,
(
HHT
)
,
(
HTH
)
,
(
HTT
)
,
(
THH
)
,
(
THT
)
,
(
TTH
)
,
(
TTT
)
}
{
(
HHH
)
,
(
HHT
)
,
(
HTH
)
,
(
HTT
)
,
(
THH
)
,
(
THT
)
,
(
TTH
)
,
(
TTT
)
}
size 12{ lbrace \( ital "HHH" \) , \( ital "HHT" \) , \( ital "HTH" \) , \( ital "HTT" \) , \( ital "THH" \) , \( ital "THT" \) , \( ital "TTH" \) , \( ital "TTT" \) rbrace } {}
- b.
4
8
4
8
size 12{ { { size 8{4} } over { size 8{8} } } } {}
- c. Yes
Consider the following scenario:
- Let P(C) = 0.4P(C)=0.4
- Let P(D) = 0.5P(D)=0.5
- Let P(C|D) = 0.6P(C|D)=0.6
- a. Find P(C AND D)P(C AND D) .
- b. Are CC and DD mutually exclusive? Why or why not?
- c. Are CC and DD independent events? Why or why not?
- d. Find P(C OR D)P(C OR D) .
- e. Find P(D|C)P(D|C).
EE size 12{E} {} and
FF size 12{F} {} mutually exclusive events.
P(E)=0.4P(E)=0.4 size 12{P \( E \) =0 "." 4} {};
P(F)=0.5P(F)=0.5 size 12{P \( F \) =0 "." 5} {}. Find
P(E∣F)P(E∣F) size 12{P \( E \lline F \) } {}.
JJ size 12{J} {} and
KK size 12{K} {} are independent events.
P(J | K)
=
0.3
P(J | K) = 0.3.
Find
P(J)P(J) size 12{P \( J \) } {} .
UU size 12{U} {} and
VV size 12{V} {} are mutually exclusive events.
P(U)=0.26P(U)=0.26 size 12{P \( U \) =0 "." "26"} {};
P(V)=0.37P(V)=0.37 size 12{P \( V \) =0 "." "37"} {}. Find:
- a. P(U AND V)P(U AND V) =
- b.
P(U | V)
P(U | V)
=
- c. P(U OR V)P(U OR V) =
QQ size 12{Q} {} and
RR size 12{R} {} are independent events.
P(Q) = 0.4P(Q) = 0.4
;
P(Q AND R) = 0.1P(Q AND R) = 0.1 . Find
P(R)P(R).
YY size 12{Y} {} and
ZZ size 12{Z} {} are independent events.
- a.
Rewrite the basic Addition Rule
P(Y OR Z)
=
P(Y)
+
P(Z)
-
P(Y AND Z)
P(Y OR Z)
= P(Y) + P(Z) - P(Y AND Z) using the information that Y and Z are independent events.
- b. Use the rewritten rule to find P(Z)P(Z) if P(Y OR Z) = 0.71P(Y OR Z) = 0.71 and P(Y) = 0.42P(Y) = 0.42 .
GG size 12{G} {} and
HH size 12{H} {} are mutually exclusive events.
P(G)=0.5P(G)=0.5 size 12{P \( G \) =0 "." 5} {};
P(H)=0.3P(H)=0.3 size 12{P \( H \) =0 "." 3} {}
- a. Explain why the following statement MUST be false:
P
(
H
∣
G
)
=
0
.
4
P
(
H
∣
G
)
=
0
.
4
size 12{P \( H \lline G \) =0 "." 4} {}
.
- b. Find: P(H OR G)P(H OR G).
- c. Are
GG size 12{G} {} and
HH size 12{H} {} independent or dependent events? Explain in a complete sentence.
The following are real data from Santa Clara County, CA. As of March 31, 2000, there was a total of 3059 documented cases of AIDS in the county. They were grouped into the following categories (Source: Santa Clara County Public H.D.):
Table 1: * includes homosexual/bisexual IV drug users
| |
Homosexual/Bisexual
|
IV Drug User* |
Heterosexual Contact |
Other |
Totals |
| Female |
0 |
70 |
136 |
49 |
____ |
| Male |
2146 |
463 |
60 |
135 |
____ |
| Totals |
____ |
____ |
____ |
____ |
____ |
Suppose one of the persons with AIDS in Santa Clara County is randomly selected. Compute the following:
- a.
P(person is female)
P(person is female) =
- b.
P(person has a risk factor Heterosexual Contact)
P(person has a risk factor Heterosexual Contact) =
- c.
P(person is female OR has a risk factor of IV Drug User)
P(person is female OR has a risk factor of IV Drug User) =
- d.
P(person is female AND has a risk factor of Homosexual/Bisexual)
P(person is female AND has a risk factor of Homosexual/Bisexual) =
- e.
P(person is male AND has a risk factor of IV Drug User)
P(person is male AND has a risk factor of IV Drug User) =
- f.
P(female GIVEN person got the disease from heterosexual contact)
P(female GIVEN person got the disease from heterosexual contact) =
- g. Construct a Venn Diagram. Make one group females and the other group heterosexual contact.
The completed contingency table is as follows:
Table 2: * includes homosexual/bisexual IV drug users
| |
Homosexual/Bisexual
|
IV Drug User* |
Heterosexual Contact |
Other |
Totals |
| Female |
0 |
70 |
136 |
49 |
255 |
| Male |
2146 |
463 |
60 |
135 |
2804 |
| Totals |
2146 |
533 |
196 |
174 |
3059 |
- a.
255
3059
255
3059
- b.
196
3059
196
3059
- c.
718
3059
718
3059
size 12{ { { size 8{"718"} } over { size 8{"3059"} } } } {}
- d. 0
- e.
463
3059
463
3059
- f.
136
196
136
196
Solve these questions using probability rules. Do NOT use the contingency table above. 3059 cases of AIDS had been reported in Santa Clara County, CA, through March 31, 2000. Those cases will be our population. Of those cases, 6.4% obtained the disease through heterosexual contact and 7.4% are female. Out of the females with the disease, 53.3% got the disease from heterosexual contact.
- a. P(person is female) = P(person is female) =
- b. P(person obtained the disease through heterosexual contact) = P(person obtained the disease through heterosexual contact) =
- c. P(female GIVEN person got the disease from heterosexual contact) =P(female GIVEN person got the disease from heterosexual contact) =
- d. Construct a Venn Diagram. Make one group females and the other group heterosexual contact. Fill in all values as probabilities.
The following table identifies a group of children by one of four hair colors, and by type of hair.
Table 3
| Hair Type |
Brown |
Blond |
Black |
Red |
Totals |
| Wavy |
20 |
|
15 |
3 |
43 |
| Straight |
80 |
15 |
|
12 |
|
| Totals |
|
20 |
|
|
215 |
- a. Complete the table above.
- b. What is the probability that a randomly selected child will have wavy hair?
- c. What is the probability that a randomly selected child will have either brown or blond hair?
- d. What is the probability that a randomly selected child will have wavy brown hair?
- e. What is the probability that a randomly selected child will have red hair, given that he has straight hair?
- f. If B is the event of a child having brown hair, find the probability of the complement of B.
- g. In words, what does the complement of B represent?
- b. 4321543215
- c.
120
215
120
215
size 12{ { { size 8{"120"} } over { size 8{"215"} } } } {}
- d. 2021520215
- e. 1217212172
- f.
115
215
115
215
size 12{ { { size 8{"115"} } over { size 8{"215"} } } } {}
A previous year, the weights of the members of the San Francisco 49ers and the Dallas Cowboys were published in the San Jose Mercury News. The factual data are compiled into the following table.
Table 4
| Shirt# |
≤ 210 |
211-250 |
251-290 |
290≤ |
| 1-33 |
21 |
5 |
0 |
0 |
| 34-66 |
6 |
18 |
7 |
4 |
| 66-99 |
6 |
12 |
22 |
5 |
For the following, suppose that you randomly select one player from the 49ers or Cowboys.
- a. Find the probability that his shirt number is from 1 to 33.
- b. Find the probability that he weighs at most 210 pounds.
- c. Find the probability that his shirt number is from 1 to 33 AND he weighs at most 210 pounds.
- d. Find the probability that his shirt number is from 1 to 33 OR he weighs at most 210 pounds.
- e. Find the probability that his shirt number is from 1 to 33 GIVEN that he weighs at most 210 pounds.
- f. If having a shirt number from 1 to 33 and weighing at most 210 pounds were independent events, then what should be true about
P(Shirt# 1-33 | ≤ 210 pounds)
P(Shirt# 1-33 | ≤ 210 pounds)?
Approximately 249,000,000 people live in the United States. Of these people, 31,800,000 speak a language other than English at home. Of those who speak another language at home, over 50 percent speak Spanish. (Source: U.S. Bureau of the Census, 1990 Census)
Let: EE = speak English at home; E'E' = speak another language at home; SS = speak Spanish at home
Finish each probability statement by matching the correct answer.
Table 5
| Probability Statements |
Answers |
| a. P(E') = |
i. 0.8723 |
| b. P(E) = |
ii. > 0.50 |
| c. P(S) = |
iii. 0.1277 |
| d. P(S|E') = |
iv. > 0.0639 |
The probability that a male develops some form of cancer in his lifetime is 0.4567 (Source: American Cancer Society). The probability that a male has at least one false positive test result (meaning the test comes back for cancer when the man does not have it) is 0.51 (Source: USA Today). Some of the questions below do not have enough information for you to answer them. Write “not enough information” for those answers.
Let: CC = a man develops cancer in his lifetime; P P = man has at least one false positive
- a. Construct a tree diagram of the situation.
- b. P(C)P(C) =
- c. P(P|C)P(P|C) =
- d. P(P|C' )P(P|C' ) =
- e. If a test comes up positive, based upon numerical values, can you assume that man has cancer? Justify numerically and explain why or why not.
In 1994, the U.S. government held a lottery to issue 55,000 Green Cards (permits for non-citizens to work legally in the U.S.). Renate Deutsch, from Germany, was one of approximately 6.5 million people who entered this lottery. Let G = won Green CardG = won Green Card.
- a. What was Renate’s chance of winning a Green Card? Write your answer as a probability statement.
- b. In the summer of 1994, Renate received a letter stating she was one of 110,000 finalists chosen. Once the finalists were chosen, assuming that each finalist had an equal chance to win, what was Renate’s chance of winning a Green Card? Let F = was a finalistF = was a finalist. Write your answer as a conditional probability statement.
- c. Are GG and FF independent or dependent events? Justify your answer numerically and also explain why.
- d. Are GG and FF mutually exclusive events? Justify your answer numerically and also explain why.
P.S. Amazingly, on 2/1/95, Renate learned that she would receive her Green Card -- true story!
- a.
P
(
G
)
=
0
.
008
P
(
G
)
=
0
.
008
size 12{P \( G \) =0 "." "008"} {}
- b.
0.5
- c. dependent
- d. No
Three professors at George Washington University did an experiment to determine if economists are more selfish than other people. They dropped 64 stamped, addressed envelopes with $10 cash in different classrooms on the George Washington campus. 44% were returned overall. From the economics classes 56% of the envelopes were returned. From the business, psychology, and history classes 31% were returned. (Source: Wall Street Journal)
Let: RR = money returned; EE = economics classes; OO = other classes
- a. Write a probability statement for the overall percent of money returned.
- b. Write a probability statement for the percent of money returned out of the economics classes.
- c. Write a probability statement for the percent of money returned out of the other classes.
- d. Is money being returned independent of the class? Justify your answer numerically and explain it.
- e. Based upon this study, do you think that economists are more selfish than other people? Explain why or why not. Include numbers to justify your answer.
The chart below gives the number of suicides estimated in the U.S. for a recent year by age, race (black and white), and sex. We are interested in possible relationships between age, race, and sex. We will let suicide victims be our population. (Source: The National Center for Health Statistics, U.S. Dept. of Health and Human Services)
Table 6
| Race and Sex |
1 - 14 |
15 - 24 |
25 - 64 |
over 64 |
TOTALS |
| white, male |
210 |
3360 |
13,610 |
|
22,050 |
| white, female |
80 |
580 |
3380 |
|
4930 |
| black, male |
10 |
460 |
1060 |
|
1670 |
| black, female |
0 |
40 |
270 |
|
330 |
| all others |
|
|
|
|
|
| TOTALS |
310 |
4650 |
18,780 |
|
29,760 |
Do not include "all others" for parts (f), (g), and (i).
- a. Fill in the column for the suicides for individuals over age 64.
- b. Fill in the row for all other races.
- c. Find the probability that a randomly selected individual was a white male.
- d. Find the probability that a randomly selected individual was a black female.
- e. Find the probability that a randomly selected individual was black
- f. Comparing “Race and Sex” to “Age,” which two groups are mutually exclusive? How do you know?
- g. Find the probability that a randomly selected individual was male.
- h. Out of the individuals over age 64, find the probability that a randomly selected individual was a black or white male.
- i. Are being male and committing suicide over age 64 independent events? How do you know?
- c.
22050
29760
22050
29760
size 12{ { {"22050"} over {"29760"} } } {}
- d.
330
29760
330
29760
size 12{ { {"330"} over {"29760"} } } {}
- e.
2000
29760
2000
29760
size 12{ { { size 8{"2000"} } over { size 8{"29760"} } } } {}
- f.
23720
29760
23720
29760
size 12{ { { size 8{"23720"} } over { size 8{"29760"} } } } {}
- g.
5010
6020
5010
6020
size 12{ { { size 8{"5010"} } over { size 8{"6020"} } } } {}
- h. Black females and ages 1-14
- i. No
The next two questions refer to the following: The percent of licensed U.S. drivers (from a recent year) that are female is 48.60. Of the females, 5.03% are age 19 and under; 81.36% are age 20 - 64; 13.61% are age 65 or over. Of the licensed U.S. male drivers, 5.04% are age 19 and under; 81.43% are age 20 - 64; 13.53% are age 65 or over. (Source: Federal Highway Administration, U.S. Dept. of Transportation)
Complete the following:
- a. Construct a table or a tree diagram of the situation.
- b. P(driver is female)P(driver is female) =
- c. P(driver is age 65 or over | driver is female)
P(driver is age 65 or over | driver is female) =
- d. P(driver is age 65 or over AND female)
P(driver is age 65 or over AND female) =
- e. In words, explain the difference between the probabilities in part (c) and
part (d).
- f. P(driver is age 65 or over)P(driver is age 65 or over) =
- g. Are being age 65 or over and being female mutually exclusive events? How do you know
Suppose that 10,000 U.S. licensed drivers are randomly selected.
- a. How many would you expect to be male?
- b. Using the table or tree diagram from the previous exercise, construct a contingency table of gender versus age group.
- c. Using the contingency table, find the probability that out of the age 20 - 64 group, a randomly selected driver is female.
Approximately 86.5% of Americans commute to work by car, truck or van. Out of that group, 84.6% drive alone and 15.4% drive in a carpool. Approximately 3.9% walk to work and approximately 5.3% take public transportation. (Source: Bureau of the Census, U.S. Dept. of Commerce. Disregard rounding approximations.)
- a. Construct a table or a tree diagram of the situation. Include a branch for all other modes of transportation to work.
- b. Assuming that the walkers walk alone, what percent of all commuters travel alone to work?
- c. Suppose that 1000 workers are randomly selected. How many would you expect to travel alone to work?
- d. Suppose that 1000 workers are randomly selected. How many would you expect to drive in a carpool?
Explain what is wrong with the following statements. Use complete sentences.
- a. If there’s a 60% chance of rain on Saturday and a 70% chance of rain on Sunday, then there’s a 130% chance of rain over the weekend.
- b. The probability that a baseball player hits a home run is greater than the probability that he gets a successful hit.
The next two questions refer to the following probability tree diagram which shows tossing an unfair coin FOLLOWED BY drawing one bead from a cup containing 3 red (RR size 12{R} {}), 4 yellow (YY size 12{Y} {}) and 5 blue (BB size 12{B} {}) beads. For the coin,
P(H)=23P(H)=23 size 12{P \( H \) = { {2} over {3} } } {} and
P(T)=13P(T)=13 size 12{P \( T \) = { {1} over {3} } } {} where
H = "heads"H = "heads"
and
T = "tails”T = "tails”.
Find
P(tossing a Head on the coin AND a Red bead)
P(tossing a Head on the coin AND a Red bead)
- A.
2
3
2
3
size 12{ { {2} over {3} } } {}
- B.
5
15
5
15
size 12{ { {5} over {"15"} } } {}
- C.
6
36
6
36
size 12{ { {6} over {"36"} } } {}
- D.
5
36
5
36
size 12{ { {5} over {"36"} } } {}
Find P(Blue bead)P(Blue bead).
- A.
15
36
15
36
size 12{ { {"15"} over {"36"} } } {}
- B.
10
36
10
36
size 12{ { {"10"} over {"36"} } } {}
- C.
10
12
10
12
size 12{ { {"10"} over {"12"} } } {}
- D.
6
36
6
36
size 12{ { {6} over {"32"} } } {}
The next three questions refer to the following table of data obtained from www.baseball-almanac.com showing hit information for 4 well known baseball players. Suppose that one hit from the table is randomly selected.
Table 7
| NAME |
Single |
Double |
Triple |
Home Run |
TOTAL HITS |
| Babe Ruth |
1517 |
506 |
136 |
714 |
2873 |
| Jackie Robinson |
1054 |
273 |
54 |
137 |
1518 |
| Ty Cobb |
3603 |
174 |
295 |
114 |
4189 |
| Hank Aaron |
2294 |
624 |
98 |
755 |
3771 |
| TOTAL |
8471 |
1577 |
583 |
1720 |
12351 |
Find
P(hit was made by Babe Ruth)P(hit was made by Babe Ruth).
- A.
1518
2873
1518
2873
size 12{ { {"1518"} over {"2873"} } } {}
- B.
2873
12351
2873
12351
size 12{ { {"2873"} over {"12351"} } } {}
- C.
583
12351
583
12351
size 12{ { {"583"} over {"12351"} } } {}
- D.
4189
12351
4189
12351
size 12{ { {"4189"} over {"12351"} } } {}
Find P(hit was made by Ty Cobb | The hit was a Home Run)P(hit was made by Ty Cobb | The hit was a Home Run)
- A.
4189
12351
4189
12351
size 12{ { {"4189"} over {"12351"} } } {}
- B.
1141
1720
1141
1720
size 12{ { {"1141"} over {"1720"} } } {}
- C.
1720
4189
1720
4189
size 12{ { {"1720"} over {"4189"} } } {}
- D.
114
12351
114
12351
size 12{ { {"114"} over {"12351"} } } {}
Are the hit being made by Hank Aaronthe hit being made by Hank Aaron and the hit being a doublethe hit being a double independent events?
- A.
Yes, because P(hit by Hank Aaron | hit is a double) =
P(hit by Hank Aaron)P(hit by Hank Aaron | hit is a double) =
P(hit by Hank Aaron)
- B.
No, because P(hit by Hank Aaron | hit is a double) ≠
P(hit is a double)P(hit by Hank Aaron | hit is a double) ≠
P(hit is a double)
- C.
No, because P(hit is by Hank Aaron | hit is a double) ≠
P(hit by Hank Aaron)P(hit is by Hank Aaron | hit is a double) ≠
P(hit by Hank Aaron)
- D.
Yes, because P(hit is by Hank Aaron | hit is a double) =
P(hit is a double)P(hit is by Hank Aaron | hit is a double) =
P(hit is a double)
"Collaborative Statistics was written by two faculty members at De Anza College in Cupertino, California. This book is intended for introductory statistics courses being taken by students at two- […]"