An experiment consists of tossing an unfalr coin (59% chance of landing on heads) a specified number of times and recording the outcomes. (a) What is the probability that the first head will occur on the second trial? (Use 4 decimal places.) Does this probability change if we toss the coin three times? What if we toss the coin four times? O The probability changes if we toss the coin three times, but does not change if we toss the coin four times. O The probability changes if we toss the coin four times, but does not change if we toss the coin three times. O The probability changes for both three and four tosses. O The probability does not change for either three or four tosses. What probability distribution model do we use to compute these probabilities? O geometric normal O binomial O poisson (b) What is the probability that the first head will occur on the fourth trial? after the fourth trial? (Use 4 decimal places.) P(4)| P(n > 4)

An experiment consists of tossing an unfalr coin (59% chance of landing on heads) a specified number of times and recording the outcomes. (a) What is the probability that the first head will occur on the second trial? (Use 4 decimal places.) Does this probability change if we toss the coin three times? What if we toss the coin four times? O The probability changes if we toss the coin three times, but does not change if we toss the coin four times. O The probability changes if we toss the coin four times, but does not change if we toss the coin three times. O The probability changes for both three and four tosses. O The probability does not change for either three or four tosses. What probability distribution model do we use to compute these probabilities? O geometric normal O binomial O poisson (b) What is the probability that the first head will occur on the fourth trial? after the fourth trial? (Use 4 decimal places.) P(4)| P(n > 4)

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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Question

An experiment consists of tossing an unfalr coin (59% chance of landing on heads) a specified number of times and recording the outcomes.
(a) What is the probability that the first head will occur on the second trial? (Use 4 decimal places.)
Does this probability change if we toss he coin three times? What if we toss the coin four times?
O The probability changes if we toss the coin three times, but does not change if we toss the coln four times.
O The probability changes if we toss the coin four times, but does not change if we toss the coin three times.
O The probability changes for both three and four tosses.
O The probability does not change for either three or four tosses.
What probability distribution model do we use to compute these probabilities?
O geometric
O normal
O binomial
O poisson
(b) What is the probability that the first head will occur on the fourth trial? after the fourth trial? (Use 4 decimal places.)
P(4)
P(n > 4)
US
V O 3:15
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