Analyse grouped lengths with standard deviation, cumulative frequency, quartiles and an expected-cost distribution.

Analyse grouped lengths with standard deviation, cumulative frequency, quartiles and an expected-cost distribution.

15 marks
ProbabilityQuestionBank.pdf

A fisherman catches 200 fish to sell. He measures the lengths, \(l\) cm, of these fish, and the results are shown in the frequency table below.

Length \(l\) cm\(0\le l<10\)\(10\le l<20\)\(20\le l<30\)\(30\le l<40\)\(40\le l<60\)\(60\le l<75\)\(75\le l<100\)
Frequency3040503033116
  1. Calculate an estimate for the standard deviation of the lengths of the fish.[3]
  2. A cumulative frequency diagram is given below for the lengths of the fish. Use the graph to answer the following.[6]
    1. Estimate the interquartile range.
    2. Given that 40 % of the fish have a length more than k cm, find the value of k. In order to sell the fish, the fisherman classifies them as small, medium or large. Small fish have a length less than 20 cm. Medium fish have a length greater than or equal to 20 cm but less than 60 cm. Large fish have a length greater than or equal to 60 cm.
  3. Write down the probability that a fish is small. The cost of a small fish is $4, a medium fish $10, and a large fish $12.[2]
  4. Copy and complete the following table, which gives a probability distribution for the cost \(X\).[2]
    Cost \(X\)41012
    \(P(X=x)\)0.565
  5. Find \(E(X)\).[2]

Solution:

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Answer:\(P(\text{small})=\frac{70}{200}=0.35\). The cost distribution is \(P(4)=0.35\), \(P(10)=0.565\), \(P(12)=0.085\), so \(E(X)=8.07\).

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