# Determine the probability that tomorrow’s output will have no defective part? 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 no defective part.

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 no defective part = 50

So, number of trials in which the event has happened = 50

Total number of trials = 200

Probability that tomorrow’s output will have no defective part = 50/200

= 25/100

= 1/4

= 0.25

Therefore, the probability that tomorrow’s output will have no defective part is 0.25

**✦ 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 no defective part.

**☛ Also Check:** NCERT Solutions for Class 9 Maths Chapter 14

**NCERT Exemplar Class 9 Maths Exercise 14.3 Problem 19(i)**

## Determine the probability that tomorrow’s output will have no defective part? 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 no defective part is 0.25

**☛ Related Questions:**

- Determine the probability that tomorrow’s output will have atleast one defective part? Over the past . . . .
- Determine the probability that tomorrow’s output will have not more than 5 defective parts? Over the . . . .
- Determine the probability that tomorrow’s output will have more than 13 defective parts? Over the pa . . . .

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