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ProgramsBCASemester 3Probability and StatisticsUnit 4: Probability (8Hrs)
Chapter Study

BCA Semester 3 – Probability and Statistics – Unit 4: Probability (8Hrs)

Comprehensive questions and detailed answers for Unit 4: Probability (8Hrs). Perfect for exam preparation and concept clarity.

7
Questions
50
Marks
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1

Fit a Binomial Distribution from the following data where p=0.5p = 0.5p=0.5:

No. of heads1234Frequency2862204\begin{array}{|c|c|c|c|c|} \hline \text{No. of heads} & 1 & 2 & 3 & 4 \\ \hline \text{Frequency} & 28 & 62 & 20 & 4 \\ \hline \end{array}No. of headsFrequency​128​262​320​44​​
MediumTHEORY5 marks2019(TU FOHSS Final)
2

Given a normal distribution with mean =200=200=200 and standard deviation =20=20=20, find the probability that:

i) P(X>180)ii) P(X<220)iii) P(160<X<240)iv) P(X>220)\begin{aligned} \text{i)}\ & P(X > 180) \\ \text{ii)}\ & P(X < 220) \\ \text{iii)}\ & P(160 < X < 240) \\ \text{iv)}\ & P(X > 220) \end{aligned}i) ii) iii) iv) ​P(X>180)P(X<220)P(160<X<240)P(X>220)​

Also, 10%10\%10% of the values are less than what value of XXX?

MediumTHEORY10 marks2019(TU FOHSS Final)
3

A box contains 505050 items of which 202020 are defective. If one item is selected randomly from the box, what is the probability that it is a non-defective item?

MediumTHEORY5 marks2020(TU FOHSS Final)
4

In a normal distribution with mean =200=200=200 and standard deviation =20=20=20, find the probability that:

i) P(X>180)ii) P(X<220)iii) P(160<X<240)iv) P(X>220)v) 10% values are less than what value of X?\begin{aligned} \text{i)}\ & P(X > 180) \\ \text{ii)}\ & P(X < 220) \\ \text{iii)}\ & P(160 < X < 240) \\ \text{iv)}\ & P(X > 220) \\ \text{v)}\ & 10\% \text{ values are less than what value of } X? \end{aligned}i) ii) iii) iv) v) ​P(X>180)P(X<220)P(160<X<240)P(X>220)10% values are less than what value of X?​
MediumTHEORY10 marks2020(TU FOHSS Final)
5

Fit a Poisson distribution of the following data and calculate the expected frequencies:

X012345678f56156132923722401\begin{array}{|c|c|c|c|c|c|c|c|c|c|} \hline X & 0 & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 \\ \hline f & 56 & 156 & 132 & 92 & 37 & 22 & 4 & 0 & 1 \\ \hline \end{array}Xf​056​1156​2132​392​437​522​64​70​81​​
MediumTHEORY5 marks2021(TU FOHSS Final)
6

A box contains 30 items of which 10 are defectives. If two items are selected randomly from the box without replacement, what is the probability that
\quad \quad (a) both are defective
\quad \quad (b) both are non‑defective?

MediumTHEORY5 marks2021(TU FOHSS Final)
7

The lifetime of a certain electronic component is a normal random variate with an expectation of 5000 hours and a standard deviation of 100 hours. Compute the probabilities under the following conditions:

(a) P(lifetime<3012)(b) P(4000<lifetime<6000)(c) P(lifetime<4500)(d) P(lifetime>7000)\begin{aligned} (a)\ & P(\text{lifetime} < 3012) \\ (b)\ & P(4000 < \text{lifetime} < 6000) \\ (c)\ & P(\text{lifetime} < 4500) \\ (d)\ & P(\text{lifetime} > 7000) \end{aligned}(a) (b) (c) (d) ​P(lifetime<3012)P(4000<lifetime<6000)P(lifetime<4500)P(lifetime>7000)​
MediumTHEORY10 marks2021(TU FOHSS Final)
Showing 7 questions

Sample Questions

Fit a Binomial Distribution from the following data where $p = 0.5$: \[ \begin{array}{|c|c|c|c|c|} \hline \text{No. of heads} & 1 & 2 & 3 & 4 \\ \hline \text{Frequency} & 28 & 62 & 20 & 4 \\ \hline \e

Marks: 5Chapter: Unit 4: Probability (8Hrs)

Given a normal distribution with mean $=200$ and standard deviation $=20$, find the probability that: \[ \begin{aligned} \text{i)}\ & P(X > 180) \\ \text{ii)}\ & P(X < 220) \\ \text{iii)}\ & P(160 < X

Marks: 10Chapter: Unit 4: Probability (8Hrs)

A box contains $50$ items of which $20$ are defective. If one item is selected randomly from the box, what is the probability that it is a non-defective item?

Marks: 5Chapter: Unit 4: Probability (8Hrs)

In a normal distribution with mean $=200$ and standard deviation $=20$, find the probability that: \[ \begin{aligned} \text{i)}\ & P(X > 180) \\ \text{ii)}\ & P(X < 220) \\ \text{iii)}\ & P(160 < X <

Marks: 10Chapter: Unit 4: Probability (8Hrs)

Fit a Poisson distribution of the following data and calculate the expected frequencies: \[ \begin{array}{|c|c|c|c|c|c|c|c|c|c|} \hline X & 0 & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 \\ \hline f & 56 & 156 & 1

Marks: 5Chapter: Unit 4: Probability (8Hrs)

And more questions available on this page.

About Unit 4: Probability (8Hrs) Questions

This page contains comprehensive questions from the Unit 4: Probability (8Hrs) chapter of Probability and Statistics, part of the BCA Semester 3 curriculum. All questions include detailed model answers from past TU exam papers.

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← Back to Probability and Statistics Chapters

Unit 4: Probability (8Hrs) chapter questions with answers for Probability and Statistics (BCA Semester 3). Prepare for TU exams with our comprehensive question bank and model answers.

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