A fisherman has three favorite fishing spots. He visits each spot with equal probability. The probability of catching a fish at the first spot is $0.4$, at the second spot is $0.45$, and at the third spot is $0.5$. One day, the fisherman went fishing to one of his favorite spots. Find the probability that he will catch a fish.

Probability and StatisticsProbabilityLaw of Total ProbabilityConditional Probability
2025/4/22

1. Problem Description

A fisherman has three favorite fishing spots. He visits each spot with equal probability. The probability of catching a fish at the first spot is 0.40.4, at the second spot is 0.450.45, and at the third spot is 0.50.5. One day, the fisherman went fishing to one of his favorite spots. Find the probability that he will catch a fish.

2. Solution Steps

Let A1A_1 be the event that the fisherman chooses the first fishing spot, A2A_2 be the event that he chooses the second fishing spot, and A3A_3 be the event that he chooses the third fishing spot. Let BB be the event that the fisherman catches a fish. We are given the following probabilities:
P(A1)=P(A2)=P(A3)=13P(A_1) = P(A_2) = P(A_3) = \frac{1}{3}
P(BA1)=0.4P(B|A_1) = 0.4
P(BA2)=0.45P(B|A_2) = 0.45
P(BA3)=0.5P(B|A_3) = 0.5
We want to find the probability P(B)P(B), which can be found using the law of total probability:
P(B)=P(BA1)P(A1)+P(BA2)P(A2)+P(BA3)P(A3)P(B) = P(B|A_1)P(A_1) + P(B|A_2)P(A_2) + P(B|A_3)P(A_3)
Plugging in the given values:
P(B)=(0.4)(13)+(0.45)(13)+(0.5)(13)P(B) = (0.4)(\frac{1}{3}) + (0.45)(\frac{1}{3}) + (0.5)(\frac{1}{3})
P(B)=13(0.4+0.45+0.5)P(B) = \frac{1}{3}(0.4 + 0.45 + 0.5)
P(B)=13(1.35)P(B) = \frac{1}{3}(1.35)
P(B)=0.45P(B) = 0.45

3. Final Answer

The probability that the fisherman will catch a fish is 0.450.45.

Related problems in "Probability and Statistics"

The problem provides a frequency distribution table of marks obtained by students. Part (a) requires...

ProbabilityConditional ProbabilityWithout ReplacementCombinations
2025/6/5

The problem is divided into two questions, question 10 and question 11. Question 10 is about the fre...

Frequency DistributionCumulative FrequencyOgivePercentileProbabilityConditional ProbabilityCombinations
2025/6/5

A number is selected at random from the integers 30 to 48 inclusive. We want to find the probability...

ProbabilityPrime NumbersDivisibility
2025/6/3

The problem describes a survey where 30 people answered about their favorite book genres. The result...

PercentagesData InterpretationPie ChartFractions
2025/6/1

The problem asks us to determine if there is a statistically significant difference in promotion rat...

Hypothesis TestingChi-Square TestContingency TableStatistical SignificanceIndependence
2025/6/1

We are given a contingency table showing the number of students from different majors (Psychology, B...

Chi-Square TestContingency TableStatistical InferenceHypothesis Testing
2025/6/1

The problem describes a scenario where a pizza company wants to determine if the number of different...

Chi-Square TestGoodness-of-Fit TestHypothesis TestingFrequency DistributionP-value
2025/6/1

The problem asks to test the significance of three chi-square tests given the sample size $N$, numbe...

Chi-square testStatistical SignificanceDegrees of FreedomEffect SizeCramer's VHypothesis Testing
2025/5/29

The problem asks us to compute the expected frequencies for the given contingency table. The conting...

Contingency TableExpected FrequenciesChi-squared Test
2025/5/29

The problem asks us to estimate the chi-square value when $n=23$ and $p=99$, given a table of chi-sq...

Chi-square distributionStatistical estimationInterpolation
2025/5/27