Determine the probability that tomorrow’s output will have not more than 5 defective parts? Over the past 200 working days, the number of defective parts produced by a machine is given in the following table:
Number of defective parts 0 1 2 3 4 5 6 7 8 9 10 11 12 13
Days 50 32 22 18 12 12 10 10 10 8 6 6 2 2
Solution:
Given, the table represents the number of defective parts produced by a machine over the past 200 working days.
We have to determine the probability that tomorrow’s output will have not more than 5 defective parts.
Probability of an event = Number of trials in which the event has happened / Total number of trials
From the given table,
Number of days which has not more than 5 defective parts = 50 + 32 + 22 + 18 + 12 + 12
= 146
So, number of trials in which the event has happened = 146
Total number of trials = 200
Probability that tomorrow’s output will have not more than 5 defective parts = 146/200
= 73/100
= 0.73
Therefore, the probability that tomorrow’s output will have not more than 5 defective parts is 0.73
✦ Try This: Over the past 300 working days, the number of defective parts produced by a machine is given in the following table:
Number of defective parts | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
Days | 100 | 32 | 22 | 18 | 12 | 12 | 20 | 20 | 25 | 8 | 11 | 11 | 7 | 2 |
Determine the probability that tomorrow’s output will have not more than 8 defective parts?
☛ Also Check: NCERT Solutions for Class 9 Maths Chapter 14
NCERT Exemplar Class 9 Maths Exercise 14.3 Problem 19(iii)
Determine the probability that tomorrow’s output will have not more than 5 defective parts? Over the past 200 working days, the number of defective parts produced by a machine is given in the following table: Number of defective parts 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Days 50 32 22 18 12 12 10 10 10 8 6 6 2 2
Summary:
Over the past 200 working days, the number of defective parts produced by a machine is given in the table. The probability that tomorrow’s output will have not more than 5 defective parts is 0.73
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