Home
Class 9
MATHS
Over the past 200 working days, the numb...

Over the past 200 working days, the number of defective parts produced by a machine is given is given in the followig table.

Determine the probability that tomorrow's output will have

A

no defective part.

B

atleast one defective part.

C

nor more than 5 defective parts.

D

more than 13 defective parts.

Text Solution

Verified by Experts

Total numbers of working days, n(S)=200
i) Number of days in which no defective parts = `(n(E_(1)))/(n(S))= 50/200 = 1/4 = 0.25`
Hence, the probability that no defective part is 0.25.
ii) Number of days in which atleast one defective part, is
`n(E_(2)= 32+22+18+12+12+10+10+8+6+6+2+2=150`
`therefore` Probability that atleast one defective part `=(n(E_(2)))/(n(S))= 150/200=3/4=0.75`
Hence, the probability that all least one defective part is 0.75.
iii) Number of days in which not more than 5 defective parts,
`n(E_(3))=50+32+22+12=146`
`therefore` Probability that not more than 5 defective parts
`(n(E_(3)))/(n(S))=146/200=0.73`
Hence, the probability that not more than 5 defective parts is 0.73.
iv) Number of days in which more than 13 defective parts
`n(E_(4))=0`
`therefore` Probability that more than 13 defective parts
`=(n(E_(4)))/(n(S))==0/200=0`
Hence, the probability that more than 13 defective parts is 0.
Promotional Banner

Topper's Solved these Questions

  • STATISTICS AND PROBABILITY

    NCERT EXEMPLAR|Exercise LONG ANSWER TYPE QUESTIONS|5 Videos
  • QUADRILATERALS

    NCERT EXEMPLAR|Exercise Quadrilaterals|56 Videos
  • TRIANGLES

    NCERT EXEMPLAR|Exercise Triangles|55 Videos

Similar Questions

Explore conceptually related problems

Over the past 200 working days , the number of defective parts produced by a machine is given in the following table : From these days , one day is chosen at random . What is the probability that on that day , the output has (i) no defective part ? (ii) at least 1 defective part ? (iii) not more than 5 defective parts ? (iv) more than 5 , but less than 8 defective parts ? (v) more than 13 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","0 1 2 3 4 5 6 7 8 9 10 11 12 13"),("defective parts",),("Days","50 32 22 18 12 12 10 10 10 8 6 6 2 2"):}| Determine the probability that tomorrow's output will have : (i) no defective part. (ii) at least one defective part, (iii) not more than 5 defective parts, (iv) more than 13 defective parts.

An aircraft has 120 passsenger seats. The number of seats occupied during 100 flights is given in the following table. Determine the mean number of seats occupied over the flights.

Bulbs are packed in carbons each containing 40 bulbs, seven hundred cartons were examined for defective bulbs and the results are given in the following table. One carton was selected at random. What is the probability that it has i) no defective bulb? ii) defective bulbs from 2-6? iii) defective bulbs less than 4?

On a particular day, the number of vehicles passing through a crossing is given below: A particular vehi cle is chosen at random. What is the probability that it is not a four-wheeler?

Given the followig truth table, where A,B are inputs and Y the output

A factory has two machines A and B. Past records show that the machine A produced 60% of the items of output and machine B produced 40% of the items further 2% of the items produced by machine A were defective and 1% produced by machine B were defective. If an item is drawn at random, what is the probability that it is defective?

The probablity distribution of a random variable X , the number of defects per 10 meters of a fabric is given by Find the variance of X .

The record of a weather station shows that out of the past 250 onsecutive days,its weather forecasts were correct 175 xx.(i) What is the probability that on a given day it was correct? (ii) What is the probability that it was not correct on a given day?

Three machines A, B, C produce respectively 50%, 30%, and 20% of the total no. of items of a factory. The % of defective outputs of these machines is 3%, 4%, 5% respectively. If an item is selected at random, (i) what is the probability that it is defective?