In: Statistics and Probability
A particular lake is known to be one of the best places to catch a certain type of fish. In this table, x = number of fish caught in a 6-hour period. The percentage data are the percentages of fishermen who caught x fish in a 6-hour period while fishing from shore.
| x | 0 | 1 | 2 | 3 | 4 or more | 
| % | 45% | 37% | 13% | 4% | 1% | 
(a) Convert the percentages to probabilities and make a histogram of the probability distribution.
(b) Find the probability that a fisherman selected at random
fishing from shore catches one or more fish in a 6-hour period.
(Round your answer to two decimal places.)
(c) Find the probability that a fisherman selected at random
fishing from shore catches two or more fish in a 6-hour period.
(Round your answer to two decimal places.)
(d) Compute μ, the expected value of the number of fish
caught per fisherman in a 6-hour period (round 4 or more to 4).
(Round your answer to two decimal places.)
μ = fish
(e) Compute σ, the standard deviation of the number of
fish caught per fisherman in a 6-hour period (round 4 or more to
4). (Round your answer to three decimal places.)
σ = fish

b)
probability that a fisherman selected at random fishing from shore catches one or more fish in a 6-hour period =P(X>=1) =1-P(X=0) =1-0.45 =0.55
c)
probability that a fisherman selected at random fishing from shore catches two or more fish in a 6-hour period =P(X>=2 ) =0.180
d)
| x | P(X=x) | xP(x) | x2P(x) | 
| 0 | 0.450 | 0.00000 | 0.00000 | 
| 1 | 0.370 | 0.37000 | 0.37000 | 
| 2 | 0.130 | 0.26000 | 0.52000 | 
| 3 | 0.040 | 0.12000 | 0.36000 | 
| 4 | 0.010 | 0.04000 | 0.16000 | 
| total | 0.7900 | 1.4100 | |
| E(x) =μ= | ΣxP(x) = | 0.7900 | |
| E(x2) = | Σx2P(x) = | 1.4100 | |
| Var(x)=σ2 = | E(x2)-(E(x))2= | 0.785900 | |
| std deviation= | σ= √σ2 = | 0.88651 | 
μ =0.79
e)
σ =0.887