Advanced Mathematical Concepts: Precalculus with Applications, Student Edition
Advanced Mathematical Concepts: Precalculus with Applications, Student Edition
1st Edition
ISBN: 9780078682278
Author: McGraw-Hill, Berchie Holliday
Publisher: Glencoe/McGraw-Hill
bartleby

Concept explainers

bartleby

Videos

Question
Book Icon
Chapter 13.6, Problem 41E

(a)

To determine

To find: Theprobability of Trina to reach back from where she started the task.

(a)

Expert Solution
Check Mark

Answer to Problem 41E

The probability to end up where she began is 0.246 m.

Explanation of Solution

Given:

Trina tossed fair coin.

If its fall heads she walks 10 meters north.

If its fall tails she walks 10 meters south.

Concept used:

Binomial probability refers to the probability of exactly x successes on n repeated trials in an Experiment which has two possible outcomes common called the binomial experiment.

If the probability of success on an individual trial is p and q where p+q=1 or q=1p .

Then the binomial probability is:

  Cnxpxqnx or Cnxpx(1p)nx .

The probability is minimum 0 and maximum 1 .

  0p(A)1.

If p(A)+p(B)=1 then p(B)=1p(A) .

At least x in the probability means considering the x and greater than x .

At most x in the probability means considering the x and lower than x .

Calculation:

The number of times the coins flipped is:

  n=10010=10.P(walking north=walking south)=12.

To end up the where she began, she walked north and south 5 times each:

  P(back at her starting point):C105×(12)5×(12)5.255×132×132=0.246.

Hence, the probability to end up where she began is 0.246 m.

(b)

To determine

To find: the probability within 10 meters from where she started the journey.

(b)

Expert Solution
Check Mark

Answer to Problem 41E

The probability within 10 meter of the starting point is 0.2461 .

Explanation of Solution

Given:

Trina tossed fair coin.

If its fall heads she walks 10 meters north.

If its fall tails she walks 10 meters south.

Concept used:

Binomial probability refers to the probability of exactly x successes on n repeated trials in an Experiment which has two possible outcomes common called the binomial experiment.

If the probability of success on an individual trial is p and q where p+q=1 or q=1p .

Then the binomial probability is:

  Cnxpxqnx or Cnxpx(1p)nx .

The probability is minimum 0 and maximum 1 .

  0p(A)1.

If p(A)+p(B)=1 then p(B)=1p(A) .

At least x in the probability means considering the x and greater than x .

At most x in the probability means considering the x and lower than x .

Calculation:

If she is within 10 meters of the starting point, then the difference between her total distance north and total distance south must lie in the interval (10,10) .however ,since she has walked 100 meters, or 10 times, she is taken an even number of routes and therefore the only way to she meets the requirement is if she walked 50 meters north and 50 meters south. Put of all possible 210 outcomes for her walk, that accounts for C105 .

The probability within 10 meter of the starting point is:

  P(within the 10 meter)=C105210.2521024=0.2461.

Hence, probability within 10 meter of the starting point is 0.2461 .

(c)

To determine

To find: The probability of exactly 20 meters from the starting point.

(c)

Expert Solution
Check Mark

Answer to Problem 41E

The exactly 20 meters from the starting point is 0.41 .

Explanation of Solution

Given:

Trina tossed fair coin.

If its fall heads she walks 10 meters north.

If its fall tails she walks 10 meters south.

Concept used:

Binomial probability refers to the probability of exactly x successes on n repeated trials in an Experiment which has two possible outcomes common called the binomial experiment.

If the probability of success on an individual trial is p and q where p+q=1 or q=1p .

Then the binomial probability is:

  Cnxpxqnx or Cnxpx(1p)nx .

The probability is minimum 0 and maximum 1 .

  0p(A)1.

If p(A)+p(B)=1 then p(B)=1p(A) .

At least x in the probability means considering the x and greater than x .

At most x in the probability means considering the x and lower than x .

Calculation:

The number of times the coins flipped is:

  n=10010=10.P(walking north=walking south)=12.

To be exactly 20 meters from the starting point, she must move 6 times north and 4 times south OR 4 south and 6 times north.

  P(exactly 20 meters from the staring point):C106×(12)6×(12)4+C104×(12)4×(12)6.210×164×116+210×116×164.0.41.

Hence, exactly 20 meters from the starting point is 0.41 .

Chapter 13 Solutions

Advanced Mathematical Concepts: Precalculus with Applications, Student Edition

Ch. 13.1 - Prob. 11CFUCh. 13.1 - Prob. 12CFUCh. 13.1 - Prob. 13CFUCh. 13.1 - Prob. 14CFUCh. 13.1 - Prob. 15CFUCh. 13.1 - Prob. 16ECh. 13.1 - Prob. 17ECh. 13.1 - Prob. 18ECh. 13.1 - Prob. 19ECh. 13.1 - Prob. 20ECh. 13.1 - Prob. 21ECh. 13.1 - Prob. 22ECh. 13.1 - Prob. 23ECh. 13.1 - Prob. 24ECh. 13.1 - Prob. 25ECh. 13.1 - Prob. 26ECh. 13.1 - Prob. 27ECh. 13.1 - Prob. 28ECh. 13.1 - Prob. 29ECh. 13.1 - Prob. 30ECh. 13.1 - Prob. 31ECh. 13.1 - Prob. 32ECh. 13.1 - Prob. 33ECh. 13.1 - Prob. 34ECh. 13.1 - Prob. 35ECh. 13.1 - Prob. 36ECh. 13.1 - Prob. 37ECh. 13.1 - Prob. 38ECh. 13.1 - Prob. 39ECh. 13.1 - Prob. 40ECh. 13.1 - Prob. 41ECh. 13.1 - Prob. 42ECh. 13.1 - Prob. 43ECh. 13.1 - Prob. 44ECh. 13.1 - Prob. 45ECh. 13.1 - Prob. 46ECh. 13.1 - Prob. 47ECh. 13.1 - Prob. 48ECh. 13.1 - Prob. 49ECh. 13.1 - Prob. 50ECh. 13.1 - Prob. 51ECh. 13.1 - Prob. 52ECh. 13.1 - Prob. 53ECh. 13.1 - Prob. 54ECh. 13.1 - Prob. 55ECh. 13.1 - Prob. 56ECh. 13.1 - Prob. 57ECh. 13.1 - Prob. 58ECh. 13.1 - Prob. 59ECh. 13.1 - Prob. 60ECh. 13.1 - Prob. 61ECh. 13.1 - Prob. 62ECh. 13.1 - Prob. 63ECh. 13.1 - Prob. 64ECh. 13.2 - Prob. 1CFUCh. 13.2 - Prob. 2CFUCh. 13.2 - Prob. 3CFUCh. 13.2 - Prob. 4CFUCh. 13.2 - Prob. 5CFUCh. 13.2 - Prob. 6CFUCh. 13.2 - Prob. 7CFUCh. 13.2 - Prob. 8CFUCh. 13.2 - Prob. 9CFUCh. 13.2 - Prob. 10CFUCh. 13.2 - Prob. 11CFUCh. 13.2 - Prob. 12ECh. 13.2 - Prob. 13ECh. 13.2 - Prob. 14ECh. 13.2 - Prob. 15ECh. 13.2 - Prob. 16ECh. 13.2 - Prob. 17ECh. 13.2 - Prob. 18ECh. 13.2 - Prob. 19ECh. 13.2 - Prob. 20ECh. 13.2 - Prob. 21ECh. 13.2 - Prob. 22ECh. 13.2 - Prob. 23ECh. 13.2 - Prob. 24ECh. 13.2 - Prob. 25ECh. 13.2 - Prob. 26ECh. 13.2 - Prob. 27ECh. 13.2 - Prob. 28ECh. 13.2 - Prob. 29ECh. 13.2 - Prob. 30ECh. 13.2 - Prob. 31ECh. 13.2 - Prob. 32ECh. 13.2 - Prob. 33ECh. 13.2 - Prob. 34ECh. 13.2 - Prob. 35ECh. 13.2 - Prob. 36ECh. 13.2 - Prob. 37ECh. 13.2 - Prob. 38ECh. 13.2 - Prob. 39ECh. 13.2 - Prob. 40ECh. 13.2 - Prob. 41ECh. 13.2 - Prob. 42ECh. 13.2 - Prob. 43ECh. 13.2 - Prob. 44ECh. 13.2 - Prob. 45ECh. 13.2 - Prob. 46ECh. 13.3 - Prob. 1CFUCh. 13.3 - Prob. 2CFUCh. 13.3 - Prob. 3CFUCh. 13.3 - Prob. 4CFUCh. 13.3 - Prob. 5CFUCh. 13.3 - Prob. 6CFUCh. 13.3 - Prob. 7CFUCh. 13.3 - Prob. 8CFUCh. 13.3 - Prob. 9CFUCh. 13.3 - Prob. 10CFUCh. 13.3 - Prob. 11CFUCh. 13.3 - Prob. 12CFUCh. 13.3 - Prob. 13ECh. 13.3 - Prob. 14ECh. 13.3 - Prob. 15ECh. 13.3 - Prob. 16ECh. 13.3 - Prob. 17ECh. 13.3 - Prob. 18ECh. 13.3 - Prob. 19ECh. 13.3 - Prob. 20ECh. 13.3 - Prob. 21ECh. 13.3 - Prob. 22ECh. 13.3 - Prob. 23ECh. 13.3 - Prob. 24ECh. 13.3 - Prob. 25ECh. 13.3 - Prob. 26ECh. 13.3 - Prob. 27ECh. 13.3 - Prob. 28ECh. 13.3 - Prob. 29ECh. 13.3 - Prob. 30ECh. 13.3 - Prob. 31ECh. 13.3 - Prob. 32ECh. 13.3 - Prob. 33ECh. 13.3 - Prob. 34ECh. 13.3 - Prob. 35ECh. 13.3 - Prob. 36ECh. 13.3 - Prob. 37ECh. 13.3 - Prob. 38ECh. 13.3 - Prob. 39ECh. 13.3 - Prob. 40ECh. 13.3 - Prob. 41ECh. 13.3 - Prob. 42ECh. 13.3 - Prob. 43ECh. 13.3 - Prob. 44ECh. 13.3 - Prob. 45ECh. 13.3 - Prob. 46ECh. 13.3 - Prob. 47ECh. 13.3 - Prob. 48ECh. 13.3 - Prob. 49ECh. 13.3 - Prob. 50ECh. 13.3 - Prob. 51ECh. 13.3 - Prob. 1MCQCh. 13.3 - Prob. 2MCQCh. 13.3 - Prob. 3MCQCh. 13.3 - Prob. 4MCQCh. 13.3 - Prob. 5MCQCh. 13.3 - Prob. 6MCQCh. 13.3 - Prob. 7MCQCh. 13.3 - Prob. 8MCQCh. 13.3 - Prob. 9MCQCh. 13.3 - Prob. 10MCQCh. 13.4 - Prob. 1CFUCh. 13.4 - Prob. 2CFUCh. 13.4 - Prob. 3CFUCh. 13.4 - Prob. 4CFUCh. 13.4 - Prob. 5CFUCh. 13.4 - Prob. 6CFUCh. 13.4 - Prob. 7CFUCh. 13.4 - Prob. 8CFUCh. 13.4 - Prob. 9CFUCh. 13.4 - Prob. 10CFUCh. 13.4 - Prob. 11CFUCh. 13.4 - Prob. 12CFUCh. 13.4 - Prob. 13CFUCh. 13.4 - Prob. 14CFUCh. 13.4 - Prob. 15CFUCh. 13.4 - Prob. 16ECh. 13.4 - Prob. 17ECh. 13.4 - Prob. 18ECh. 13.4 - Prob. 19ECh. 13.4 - Prob. 20ECh. 13.4 - Prob. 21ECh. 13.4 - Prob. 22ECh. 13.4 - Prob. 23ECh. 13.4 - Prob. 24ECh. 13.4 - Prob. 25ECh. 13.4 - Prob. 26ECh. 13.4 - Prob. 27ECh. 13.4 - Prob. 28ECh. 13.4 - Prob. 29ECh. 13.4 - Prob. 30ECh. 13.4 - Prob. 31ECh. 13.4 - Prob. 32ECh. 13.4 - Prob. 33ECh. 13.4 - Prob. 34ECh. 13.4 - Prob. 35ECh. 13.4 - Prob. 36ECh. 13.4 - Prob. 37ECh. 13.4 - Prob. 38ECh. 13.4 - Prob. 39ECh. 13.4 - Prob. 40ECh. 13.4 - Prob. 41ECh. 13.4 - Prob. 42ECh. 13.4 - Prob. 43ECh. 13.4 - Prob. 44ECh. 13.4 - Prob. 45ECh. 13.4 - Prob. 46ECh. 13.4 - Prob. 47ECh. 13.4 - Prob. 48ECh. 13.4 - Prob. 49ECh. 13.4 - Prob. 50ECh. 13.4 - Prob. 51ECh. 13.4 - Prob. 52ECh. 13.4 - Prob. 53ECh. 13.4 - Prob. 54ECh. 13.4 - Prob. 55ECh. 13.4 - Prob. 56ECh. 13.4 - Prob. 57ECh. 13.4 - Prob. 58ECh. 13.4 - Prob. 59ECh. 13.4 - Prob. 60ECh. 13.4 - Prob. 61ECh. 13.4 - Prob. 62ECh. 13.4 - Prob. 63ECh. 13.4 - Prob. 64ECh. 13.4 - Prob. 65ECh. 13.5 - Prob. 1CFUCh. 13.5 - Prob. 2CFUCh. 13.5 - Prob. 3CFUCh. 13.5 - Prob. 4CFUCh. 13.5 - Prob. 5CFUCh. 13.5 - Prob. 6CFUCh. 13.5 - Prob. 7CFUCh. 13.5 - Prob. 8CFUCh. 13.5 - Prob. 9CFUCh. 13.5 - Prob. 10CFUCh. 13.5 - Prob. 11CFUCh. 13.5 - Prob. 12CFUCh. 13.5 - Prob. 13CFUCh. 13.5 - Prob. 14ECh. 13.5 - Prob. 15ECh. 13.5 - Prob. 16ECh. 13.5 - Prob. 17ECh. 13.5 - Prob. 18ECh. 13.5 - Prob. 19ECh. 13.5 - Prob. 20ECh. 13.5 - Prob. 21ECh. 13.5 - Prob. 22ECh. 13.5 - Prob. 23ECh. 13.5 - Prob. 24ECh. 13.5 - Prob. 25ECh. 13.5 - Prob. 26ECh. 13.5 - Prob. 27ECh. 13.5 - Prob. 28ECh. 13.5 - Prob. 29ECh. 13.5 - Prob. 30ECh. 13.5 - Prob. 31ECh. 13.5 - Prob. 32ECh. 13.5 - Prob. 33ECh. 13.5 - Prob. 34ECh. 13.5 - Prob. 35ECh. 13.5 - Prob. 36ECh. 13.5 - Prob. 37ECh. 13.5 - Prob. 38ECh. 13.5 - Prob. 39ECh. 13.5 - Prob. 40ECh. 13.5 - Prob. 41ECh. 13.5 - Prob. 42ECh. 13.5 - Prob. 43ECh. 13.5 - Prob. 44ECh. 13.5 - Prob. 45ECh. 13.5 - Prob. 46ECh. 13.5 - Prob. 47ECh. 13.5 - Prob. 48ECh. 13.5 - Prob. 49ECh. 13.5 - Prob. 50ECh. 13.5 - Prob. 51ECh. 13.5 - Prob. 52ECh. 13.5 - Prob. 53ECh. 13.5 - Prob. 54ECh. 13.5 - Prob. 55ECh. 13.6 - Prob. 1GCECh. 13.6 - Prob. 2GCECh. 13.6 - Prob. 3GCECh. 13.6 - Prob. 4GCECh. 13.6 - Prob. 5GCECh. 13.6 - Prob. 6GCECh. 13.6 - Prob. 1CFUCh. 13.6 - Prob. 2CFUCh. 13.6 - Prob. 3CFUCh. 13.6 - Prob. 4CFUCh. 13.6 - Prob. 5CFUCh. 13.6 - Prob. 6CFUCh. 13.6 - Prob. 7CFUCh. 13.6 - Prob. 8CFUCh. 13.6 - Prob. 9CFUCh. 13.6 - Prob. 10CFUCh. 13.6 - Prob. 11CFUCh. 13.6 - Prob. 12CFUCh. 13.6 - Prob. 13ECh. 13.6 - Prob. 14ECh. 13.6 - Prob. 15ECh. 13.6 - Prob. 16ECh. 13.6 - Prob. 17ECh. 13.6 - Prob. 18ECh. 13.6 - Prob. 19ECh. 13.6 - Prob. 20ECh. 13.6 - Prob. 21ECh. 13.6 - Prob. 22ECh. 13.6 - Prob. 23ECh. 13.6 - Prob. 24ECh. 13.6 - Prob. 25ECh. 13.6 - Prob. 26ECh. 13.6 - Prob. 27ECh. 13.6 - Prob. 28ECh. 13.6 - Prob. 29ECh. 13.6 - Prob. 30ECh. 13.6 - Prob. 31ECh. 13.6 - Prob. 32ECh. 13.6 - Prob. 33ECh. 13.6 - Prob. 34ECh. 13.6 - Prob. 35ECh. 13.6 - Prob. 36ECh. 13.6 - Prob. 37ECh. 13.6 - Prob. 38ECh. 13.6 - Prob. 39ECh. 13.6 - Prob. 40ECh. 13.6 - Prob. 41ECh. 13.6 - Prob. 42ECh. 13.6 - Prob. 43ECh. 13.6 - Prob. 44ECh. 13.6 - Prob. 45ECh. 13.6 - Prob. 46ECh. 13.6 - Prob. 47ECh. 13.6 - Prob. 48ECh. 13.6 - Prob. 49ECh. 13.6 - Prob. 50ECh. 13.6 - Prob. 51ECh. 13 - Prob. 1SGACh. 13 - Prob. 2SGACh. 13 - Prob. 3SGACh. 13 - Prob. 4SGACh. 13 - Prob. 5SGACh. 13 - Prob. 6SGACh. 13 - Prob. 7SGACh. 13 - Prob. 8SGACh. 13 - Prob. 9SGACh. 13 - Prob. 10SGACh. 13 - Prob. 11SGACh. 13 - Prob. 12SGACh. 13 - Prob. 13SGACh. 13 - Prob. 14SGACh. 13 - Prob. 15SGACh. 13 - Prob. 16SGACh. 13 - Prob. 17SGACh. 13 - Prob. 18SGACh. 13 - Prob. 19SGACh. 13 - Prob. 20SGACh. 13 - Prob. 21SGACh. 13 - Prob. 22SGACh. 13 - Prob. 23SGACh. 13 - Prob. 24SGACh. 13 - Prob. 25SGACh. 13 - Prob. 26SGACh. 13 - Prob. 27SGACh. 13 - Prob. 28SGACh. 13 - Prob. 29SGACh. 13 - Prob. 30SGACh. 13 - Prob. 31SGACh. 13 - Prob. 32SGACh. 13 - Prob. 33SGACh. 13 - Prob. 34SGACh. 13 - Prob. 35SGACh. 13 - Prob. 36SGACh. 13 - Prob. 37SGACh. 13 - Prob. 38SGACh. 13 - Prob. 39SGACh. 13 - Prob. 40SGACh. 13 - Prob. 41SGACh. 13 - Prob. 42SGACh. 13 - Prob. 43SGACh. 13 - Prob. 44SGACh. 13 - Prob. 45SGACh. 13 - Prob. 46SGACh. 13 - Prob. 47SGACh. 13 - Prob. 48SGACh. 13 - Prob. 49SGACh. 13 - Prob. 50SGACh. 13 - Prob. 51SGACh. 13 - Prob. 1SAPCh. 13 - Prob. 2SAPCh. 13 - Prob. 3SAPCh. 13 - Prob. 4SAPCh. 13 - Prob. 5SAPCh. 13 - Prob. 6SAPCh. 13 - Prob. 7SAPCh. 13 - Prob. 8SAPCh. 13 - Prob. 9SAPCh. 13 - Prob. 10SAP
Knowledge Booster
Background pattern image
Calculus
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, calculus and related others by exploring similar questions and additional content below.
Recommended textbooks for you
Text book image
Calculus: Early Transcendentals
Calculus
ISBN:9781285741550
Author:James Stewart
Publisher:Cengage Learning
Text book image
Thomas' Calculus (14th Edition)
Calculus
ISBN:9780134438986
Author:Joel R. Hass, Christopher E. Heil, Maurice D. Weir
Publisher:PEARSON
Text book image
Calculus: Early Transcendentals (3rd Edition)
Calculus
ISBN:9780134763644
Author:William L. Briggs, Lyle Cochran, Bernard Gillett, Eric Schulz
Publisher:PEARSON
Text book image
Calculus: Early Transcendentals
Calculus
ISBN:9781319050740
Author:Jon Rogawski, Colin Adams, Robert Franzosa
Publisher:W. H. Freeman
Text book image
Precalculus
Calculus
ISBN:9780135189405
Author:Michael Sullivan
Publisher:PEARSON
Text book image
Calculus: Early Transcendental Functions
Calculus
ISBN:9781337552516
Author:Ron Larson, Bruce H. Edwards
Publisher:Cengage Learning
Mod-01 Lec-01 Discrete probability distributions (Part 1); Author: nptelhrd;https://www.youtube.com/watch?v=6x1pL9Yov1k;License: Standard YouTube License, CC-BY
Discrete Probability Distributions; Author: Learn Something;https://www.youtube.com/watch?v=m9U4UelWLFs;License: Standard YouTube License, CC-BY
Probability Distribution Functions (PMF, PDF, CDF); Author: zedstatistics;https://www.youtube.com/watch?v=YXLVjCKVP7U;License: Standard YouTube License, CC-BY
Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License