Math Problem Statement

A quality control inspector is to inspect 15 tools 2 of which are defective by selecting 4 at random. a) What is the probability that there will be one defective tool among the 4 randomly selected? b) What is the probability that there will be no defective tools among the 4 randomly selected? c) How many non-defective tools do we need to add, to the tools to inspect, in order that the probability of having non defective tools among the 4 selected is 0.70?

Solution

This problem involves probability with combinations, where we are randomly selecting tools and calculating probabilities based on different scenarios. Let's tackle the problem step by step:

Given:

  • Total tools: 15
  • Defective tools: 2
  • Non-defective tools: 152=1315 - 2 = 13
  • Tools selected: 4

Part (a): Probability of selecting one defective tool among the 4 selected

We need to find the probability of selecting exactly 1 defective tool and 3 non-defective tools from the 15 tools.

The total number of ways to select 4 tools from 15 is given by the combination formula: Total ways to select 4 tools=(154)\text{Total ways to select 4 tools} = \binom{15}{4}

The number of ways to select 1 defective tool from 2 defective tools is: Ways to select 1 defective=(21)\text{Ways to select 1 defective} = \binom{2}{1}

The number of ways to select 3 non-defective tools from 13 non-defective tools is: Ways to select 3 non-defective=(133)\text{Ways to select 3 non-defective} = \binom{13}{3}

Thus, the probability is: P(1 defective)=(21)(133)(154)P(\text{1 defective}) = \frac{\binom{2}{1} \cdot \binom{13}{3}}{\binom{15}{4}}

Part (b): Probability of selecting no defective tools among the 4 selected

We need to find the probability of selecting all 4 tools as non-defective.

The number of ways to select 4 non-defective tools from 13 non-defective tools is: Ways to select 4 non-defective=(134)\text{Ways to select 4 non-defective} = \binom{13}{4}

Thus, the probability is: P(no defective)=(134)(154)P(\text{no defective}) = \frac{\binom{13}{4}}{\binom{15}{4}}

Part (c): How many non-defective tools need to be added to achieve a 0.70 probability of selecting only non-defective tools?

Let xx be the number of additional non-defective tools added to the original 15 tools. The new total number of tools becomes 15+x15 + x, and the number of non-defective tools becomes 13+x13 + x.

The probability of selecting 4 non-defective tools from this new set must equal 0.70: P(no defective)=(13+x4)(15+x4)=0.70P(\text{no defective}) = \frac{\binom{13+x}{4}}{\binom{15+x}{4}} = 0.70

We will solve for xx.

Let me calculate these results.### Results for parts (a) and (b):

  • (a) The probability of selecting exactly one defective tool among the 4 selected is approximately 0.419.
  • (b) The probability of selecting no defective tools among the 4 selected is approximately 0.524.

Now, for part (c), let's calculate how many additional non-defective tools xx need to be added to achieve a probability of 0.70 for selecting no defective tools.

We need to solve the equation: (13+x4)(15+x4)=0.70\frac{\binom{13+x}{4}}{\binom{15+x}{4}} = 0.70 I'll calculate that next.### Part (c) Result: You would need to add approximately 11 non-defective tools to achieve a 0.70 probability of selecting no defective tools among the 4 randomly chosen.

Would you like more details on any part of the calculations or explanations?

Here are 5 related questions:

  1. What is the probability of selecting exactly 2 defective tools?
  2. How would the probabilities change if we inspected 5 tools instead of 4?
  3. What if the number of defective tools was 3 instead of 2?
  4. How would the probability calculations change if tools were inspected without replacement?
  5. Can you apply a similar approach for different sample sizes?

Tip: When dealing with combinations, remember that the order of selection does not matter, unlike permutations where order does.

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Math Problem Analysis

Mathematical Concepts

Probability
Combinatorics

Formulas

Combination formula: C(n, k) = n! / (k!(n - k)!)
Probability of event = favorable outcomes / total outcomes

Theorems

Basic Probability Theorem

Suitable Grade Level

Grades 10-12