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Previous year question hub

Sampling and Statistical Analysis - Textile Testing - Textile Engineering & Fibre Science Previous Year Questions

Practice Sampling and Statistical Analysis - Textile Testing - Textile Engineering & Fibre Science previous year questions organised from real papers, with year-wise coverage and clear topic navigation.

8Papers
8Years
10Questions
1Topics

Sampling and Statistical Analysis question pattern

Every graph below is calculated only from this selection.

Questions by year

Year-wise coverage for Sampling and Statistical Analysis. Each bar uses a separate theme-derived color.

Difficulty distribution

How the classified questions are distributed by difficulty.

Easy 8 80%
Medium 2 20%

Question type distribution

MCQ, numerical, multiple-select and other formats found in these papers.

MCQ 6 60%
Numerical Answer Type (NAT) 3 30%
Fill in the blanks 1 10%

Subject weightage

Top subjects by unique question coverage.

Textile Engineering & Fibre Science
10 Qs

Most asked topics

Top topics across the included previous year papers.

Textile Testing
10 Qs

Subtopic coverage

Top subtopics inside this exact selection.

Sampling and Statistical Analysis
10 Qs

Paper coverage

Question coverage for the most populated papers. Every active PYP paper remains listed below.

Textile Engineering and Fibre Science (TF) 2026
1 Qs
Textile Engineering & Fibre Science (TF) 2020
2 Qs
Textile Engineering & Fibre Science (TF) 2019
1 Qs
Textile Engineering & Fibre Science (TF) 2017
1 Qs
Textile Engineering & Fibre Science (TF) 2013
1 Qs
Textile Engineering & Fibre Science (TF) 2011
1 Qs
Textile Engineering & Fibre Science (TF) 2009
1 Qs
Textile Engineering & Fibre Science (TF) 2007
2 Qs

Included previous year papers

Newest papers appear first. Sort by year, question coverage or name.

PaperYear / sessionQuestions in this viewOpen
Textile Engineering and Fibre Science (TF) 202620261View paper
Textile Engineering & Fibre Science (TF) 202020202View paper
Textile Engineering & Fibre Science (TF) 201920191View paper
Textile Engineering & Fibre Science (TF) 201720171View paper
Textile Engineering & Fibre Science (TF) 201320131View paper
Textile Engineering & Fibre Science (TF) 201120111View paper
Textile Engineering & Fibre Science (TF) 200920091View paper
Textile Engineering & Fibre Science (TF) 200720072View paper

All Sampling and Statistical Analysis previous year questions

Practice every matching question in batches of 20, with every available option.

1
2007 · Textile Engineering & Fibre Science · Textile Testing · Sampling and Statistical Analysis
Textile Engineering & Fibre Science (TF) 2007

A worker attends to 1000 spindles in a spinning mill. If the probability of yarn breakage on each spindle, during a time interval t, is 0.005; then, the most probable number of breaks during this interval is

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2
2007 · Textile Engineering & Fibre Science · Textile Testing · Sampling and Statistical Analysis
Textile Engineering & Fibre Science (TF) 2007
A roll of fabric contains on an average 8 defects scattered randomly over 100 m². Pieces of fabric of dimension 5m x 2m are cut from this roll. The probability that 5 pieces selected at random are free from defects is
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3
2009 · Textile Engineering & Fibre Science · Textile Testing · Sampling and Statistical Analysis
Textile Engineering & Fibre Science (TF) 2009

99% confidence range of the mean yarn strength based on 64 test samples is ± 8. The number of test samples required to obtain 99% confidence range of ± 4 of the yarn strength will be

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4
2011 · Textile Engineering & Fibre Science · Textile Testing · Sampling and Statistical Analysis
Textile Engineering & Fibre Science (TF) 2011
A yarn has mean strength of 10 N with a standard deviation of 1 N. The number of tests which must be conducted, so that at 95 % confidence level, maximum error in the estimated mean strength is 1.96 %, is ______________________
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5
2013 · Textile Engineering & Fibre Science · Textile Testing · Sampling and Statistical Analysis
Textile Engineering & Fibre Science (TF) 2013
Two yarn samples have standard deviation of strength \(\sigma_1\) and \(\sigma_2\). If \(\sigma_1 < \sigma_2\), the 't' ratio would be
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6
2017 · Textile Engineering & Fibre Science · Textile Testing · Sampling and Statistical Analysis
Textile Engineering & Fibre Science (TF) 2017
The cut squaring technique of sampling of fibres is NOT applicable to
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7
2019 · Textile Engineering & Fibre Science · Textile Testing · Sampling and Statistical Analysis
Textile Engineering & Fibre Science (TF) 2019

The 95% confidence limits of mean yarn tenacity (cN/tex) based on 100 test samples is 30 ± 1.5. The number of test samples required to obtain 95% confidence limits of 30 ± 0.5 is __________.

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8
2020 · Textile Engineering & Fibre Science · Textile Testing · Sampling and Statistical Analysis
Textile Engineering & Fibre Science (TF) 2020

Two yarns have variance of strength as V1 and V2. If V1 < V2, the variance ratio 'F' would be

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9
2020 · Textile Engineering & Fibre Science · Textile Testing · Sampling and Statistical Analysis
Textile Engineering & Fibre Science (TF) 2020
Two rovings, each with mass CV of 10%, are fed to a ring spinning machine that adds a mass CV of 20%. The mass CV (%) of the yarn (rounded off to 2 decimal places) is __________.
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10
2026 · Textile Engineering & Fibre Science · Textile Testing · Sampling and Statistical Analysis
Textile Engineering and Fibre Science (TF) 2026
A sample of yarn bobbins is tested and the standard deviation of linear density is found to be 3 tex. If the nominal standard deviation of yarn linear density is 1.5 tex, then the calculated ‘F-value’ would be __________. (answer in integer)
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